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ORCIDJoel H. Saltz
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- affiliation: University of Maryland, College Park, USA
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2020 – today
- 2024
[j118]Saarthak Kapse
, Srijan Das, Jingwei Zhang, Rajarsi R. Gupta, Joel H. Saltz, Dimitris Samaras, Prateek Prasanna:
Attention De-sparsification Matters: Inducing diversity in digital pathology representation learning. Medical Image Anal. 93: 103070 (2024)- [j117]Fusheng Wang, Rubao Lee, Dejun Teng, Xiaodong Zhang, Joel H. Saltz:
High-Performance Spatial Data Analytics: Systematic R&D for Scale-Out and Scale-Up Solutions from the Past to Now. Proc. VLDB Endow. 17(12): 4507-4520 (2024) - [c270]Mahmudul Hasan, Ariadna Kim Silva, Shahira Abousamra, Shao-Jun Tang, Prateek Prasanna, Joel H. Saltz, Kevin Gardner, Chao Chen, Alisa Yurovsky:
New Spatial Phenotypes from Imaging Uncover Survival Differences for Breast Cancer Patients. BCB 2024: 17:1-17:12 - [c269]Juyoung Yun, Shahira Abousamra, Chen Li, Rajarsi Gupta, Tahsin M. Kurç, Dimitris Samaras, Alison L. Van Dyke, Joel H. Saltz, Chao Chen:
Uncertainty Estimation for Tumor Prediction with Unlabeled Data. CVPR Workshops 2024: 6946-6954 - [c268]Alexandros Graikos, Srikar Yellapragada, Minh-Quan Le, Saarthak Kapse, Prateek Prasanna, Joel H. Saltz, Dimitris Samaras:
Learned Representation-Guided Diffusion Models for Large-Image Generation. CVPR 2024: 8532-8542 - [c267]Saarthak Kapse, Pushpak Pati, Srijan Das, Jingwei Zhang, Chao Chen, Maria Vakalopoulou, Joel H. Saltz, Dimitris Samaras, Rajarsi R. Gupta, Prateek Prasanna:
SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology. CVPR 2024: 11226-11237 - [c266]Minh-Quan Le, Alexandros Graikos, Srikar Yellapragada, Rajarsi Gupta, Joel H. Saltz, Dimitris Samaras:
∞-Brush: Controllable Large Image Synthesis with Diffusion Models in Infinite Dimensions. ECCV (32) 2024: 385-401 - [c265]Souradeep Chakraborty, Rajarsi Gupta, Oksana Yaskiv, Constantin Friedman, Natallia Sheuka, Dana Perez, Paul Friedman, Gregory J. Zelinsky, Joel H. Saltz, Dimitris Samaras:
Decoding the Visual Attention of Pathologists to Reveal Their Level of Expertise. MICCAI (3) 2024: 120-130 - [c264]Mahmudul Hasan, Xiaoling Hu, Shahira Abousamra, Prateek Prasanna, Joel H. Saltz, Chao Chen:
Semi-supervised Contrastive VAE for Disentanglement of Digital Pathology Images. MICCAI (4) 2024: 459-469 - [c263]Srikar Yellapragada, Alexandros Graikos, Prateek Prasanna, Tahsin M. Kurç, Joel H. Saltz, Dimitris Samaras:
PathLDM: Text conditioned Latent Diffusion Model for Histopathology. WACV 2024: 5170-5179 - [i47]Souradeep Chakraborty, Dana Perez, Paul Friedman, Natallia Sheuka, Constantin Friedman, Oksana Yaskiv, Rajarsi Gupta, Gregory J. Zelinsky, Joel H. Saltz, Dimitris Samaras:
Decoding the visual attention of pathologists to reveal their level of expertise. CoRR abs/2403.17255 (2024) - [i46]Minh-Quan Le, Alexandros Graikos, Srikar Yellapragada, Rajarsi Gupta, Joel H. Saltz, Dimitris Samaras:
∞-Brush: Controllable Large Image Synthesis with Diffusion Models in Infinite Dimensions. CoRR abs/2407.14709 (2024) - [i45]Mahmudul Hasan, Xiaoling Hu, Shahira Abousamra, Prateek Prasanna, Joel H. Saltz, Chao Chen:
Semi-Supervised Contrastive VAE for Disentanglement of Digital Pathology Images. CoRR abs/2410.02012 (2024) - 2023
- [j116]André L. S. Meirelles, Tahsin M. Kurç, Jun Kong, Renato Ferreira, Joel H. Saltz, George Teodoro:
Effective and efficient active learning for deep learning-based tissue image analysis. Bioinform. 39(4) (2023) - [j115]Jakub R. Kaczmarzyk, Rajarsi Gupta, Tahsin M. Kurç, Shahira Abousamra, Joel H. Saltz, Peter K. Koo:
ChampKit: A framework for rapid evaluation of deep neural networks for patch-based histopathology classification. Comput. Methods Programs Biomed. 239: 107631 (2023) - [j114]Sijia Liu, Andrew Wen, Liwei Wang, Huan He, Sunyang Fu, Robert T. Miller, Andrew E. Williams, Daniel R. Harris, Ramakanth Kavuluru, Mei Liu, Noor Abu-El-Rub, Dalton Schutte, Rui Zhang, Masoud Rouhizadeh, John D. Osborne, Yongqun He, Umit Topaloglu, Stephanie S. Hong, Joel H. Saltz, Thomas Schaffter, Emily R. Pfaff, Christopher G. Chute, Tim Duong, Melissa A. Haendel, Rafael Fuentes, Peter Szolovits, Hua Xu, Hongfang Liu:
An open natural language processing (NLP) framework for EHR-based clinical research: a case demonstration using the National COVID Cohort Collaborative (N3C). J. Am. Medical Informatics Assoc. 30(12): 2036-2040 (2023) - [c262]Shahira Abousamra, Rajarsi Gupta, Tahsin M. Kurç, Dimitris Samaras, Joel H. Saltz, Chao Chen:
Topology-Guided Multi-Class Cell Context Generation for Digital Pathology. CVPR 2023: 3323-3333 - [c261]Jingwei Zhang, Saarthak Kapse, Ke Ma, Prateek Prasanna, Maria Vakalopoulou, Joel H. Saltz, Dimitris Samaras:
Precise Location Matching Improves Dense Contrastive Learning in Digital Pathology. IPMI 2023: 783-794 - [c260]Jingwei Zhang, Ke Ma, Saarthak Kapse, Joel H. Saltz, Maria Vakalopoulou, Prateek Prasanna, Dimitris Samaras:
SAM-Path: A Segment Anything Model for Semantic Segmentation in Digital Pathology. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 161-170 - [c259]Jingwei Zhang, Saarthak Kapse, Ke Ma, Prateek Prasanna, Joel H. Saltz, Maria Vakalopoulou, Dimitris Samaras:
Prompt-MIL: Boosting Multi-instance Learning Schemes via Task-Specific Prompt Tuning. MICCAI (8) 2023: 624-634 - [c258]Shahira Abousamra, Danielle Fassler, Jiachen Yao, Rajarsi R. Gupta, Tahsin M. Kurç, Luisa F. Escobar-Hoyos, Dimitris Samaras, Kenneth Shroyer, Joel H. Saltz, Chao Chen:
Unsupervised Stain Decomposition via Inversion Regulation for Multiplex Immunohistochemistry Images. MIDL 2023: 74-94 - [c257]Vu Nguyen, Prantik Howlader, Le Hou, Dimitris Samaras, Rajarsi R. Gupta, Joel H. Saltz:
Few Shot Hematopoietic Cell Classification. MIDL 2023: 1085-1103 - [i44]Jingwei Zhang, Saarthak Kapse, Ke Ma, Prateek Prasanna, Joel H. Saltz, Maria Vakalopoulou, Dimitris Samaras:
Prompt-MIL: Boosting Multi-Instance Learning Schemes via Task-specific Prompt Tuning. CoRR abs/2303.12214 (2023) - [i43]Shahira Abousamra, Rajarsi Gupta, Tahsin M. Kurç, Dimitris Samaras, Joel H. Saltz, Chao Chen:
Topology-Guided Multi-Class Cell Context Generation for Digital Pathology. CoRR abs/2304.02255 (2023) - [i42]Erich Bremer, Tammy DiPrima, Joseph Balsamo, Jonas S. Almeida, Rajarsi Gupta, Joel H. Saltz:
Halcyon - A Pathology Imaging and Feature analysis and Management System. CoRR abs/2304.10612 (2023) - [i41]Jingwei Zhang, Ke Ma, Saarthak Kapse, Joel H. Saltz, Maria Vakalopoulou, Prateek Prasanna, Dimitris Samaras:
SAM-Path: A Segment Anything Model for Semantic Segmentation in Digital Pathology. CoRR abs/2307.09570 (2023) - [i40]Srikar Yellapragada, Alexandros Graikos, Prateek Prasanna, Tahsin M. Kurç, Joel H. Saltz, Dimitris Samaras:
PathLDM: Text conditioned Latent Diffusion Model for Histopathology. CoRR abs/2309.00748 (2023) - [i39]Jakub R. Kaczmarzyk, Alan O'Callaghan, Fiona Inglis, Tahsin M. Kurç, Rajarsi Gupta, Erich Bremer, Peter Bankhead, Joel H. Saltz:
Open and reusable deep learning for pathology with WSInfer and QuPath. CoRR abs/2309.04631 (2023) - [i38]Saarthak Kapse, Srijan Das, Jingwei Zhang, Rajarsi R. Gupta, Joel H. Saltz, Dimitris Samaras, Prateek Prasanna:
Attention De-sparsification Matters: Inducing Diversity in Digital Pathology Representation Learning. CoRR abs/2309.06439 (2023) - [i37]Alexandros Graikos, Srikar Yellapragada, Minh-Quan Le, Saarthak Kapse, Prateek Prasanna, Joel H. Saltz, Dimitris Samaras:
Learned representation-guided diffusion models for large-image generation. CoRR abs/2312.07330 (2023) - [i36]Saarthak Kapse, Pushpak Pati, Srijan Das, Jingwei Zhang, Chao Chen, Maria Vakalopoulou, Joel H. Saltz, Dimitris Samaras, Rajarsi R. Gupta, Prateek Prasanna:
SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology. CoRR abs/2312.15010 (2023) - 2022
- [j113]André L. S. Meirelles, Tahsin M. Kurç, Joel H. Saltz, George Teodoro:
Effective active learning in digital pathology: A case study in tumor infiltrating lymphocytes. Comput. Methods Programs Biomed. 220: 106828 (2022) - [j112]Katie R. Bradwell, Jacob T. Wooldridge, Benjamin R. C. Amor, Tellen D. Bennett, Adit Anand, Carolyn Bremer, Yun Jae Yoo, Zhenglong Qian, Steven G. Johnson, Emily R. Pfaff, Andrew T. Girvin, Amin Manna, Emily Niehaus, Stephanie S. Hong, Xiaohan Tanner Zhang, Richard L. Zhu, Mark Bissell, Nabeel Qureshi, Joel H. Saltz, Melissa A. Haendel, Christopher G. Chute, Harold P. Lehmann, Richard A. Moffitt:
Harmonizing units and values of quantitative data elements in a very large nationally pooled electronic health record (EHR) dataset. J. Am. Medical Informatics Assoc. 29(7): 1172-1182 (2022) - [j111]Jason A. Thomas, Randi E. Foraker, Noa Zamstein, Jon D. Morrow, Philip R. O. Payne, Adam B. Wilcox, Melissa A. Haendel, Christopher G. Chute, Kenneth R. Gersing, Anita Walden, Tellen D. Bennett, David A. Eichmann, Justin Guinney, Warren A. Kibbe, Hongfang Liu, Emily R. Pfaff, Peter N. Robinson, Joel H. Saltz, Heidi Spratt, Justin Starren, Christine Suver, Chunlei Wu, Davera Gabriel, Stephanie S. Hong, Kristin Kostka, Harold P. Lehmann, Richard A. Moffitt, Michele Morris, Matvey B. Palchuk, Xiaohan Tanner Zhang, Richard L. Zhu, Benjamin R. C. Amor, Mark M. Bissell, Marshall Clark, Andrew T. Girvin, Adam M. Lee, Robert T. Miller, Kellie M. Walters, Yooree Chae, Connor Cook, Alexandra Dest, Racquel R. Dietz, Thomas Dillon, Patricia A. Francis, Rafael Fuentes, Alexis Graves, Andrew J. Neumann, Shawn T. O'Neil, Usman Sheikh, Andréa M. Volz, Elizabeth Zampino, Christopher P. Austin, Samuel Bozzette, Mariam Deacy, Nicole Garbarini, Michael G. Kurilla, Sam G. Michael, Joni L. Rutter, Meredith Temple-O'Connor, Katie Rebecca Bradwell, Amin Manna, Nabeel Qureshi, Mary Morrison Saltz, Julie A. McMurry, Carolyn T. Bramante, Jeremy Richard Harper, Wenndy Hernandez, Farrukh M. Koraishy, Federico Mariona, Saidulu Mattapally, Amit Saha, Satyanarayana Vedula, Yujuan Fu, Nisha Mathews, Ofer Mendelevitch:
Demonstrating an approach for evaluating synthetic geospatial and temporal epidemiologic data utility: results from analyzing >1.8 million SARS-CoV-2 tests in the United States National COVID Cohort Collaborative (N3C). J. Am. Medical Informatics Assoc. 29(8): 1350-1365 (2022) - [j110]Willian Barreiros Jr., Alba C. M. A. Melo, Jun Kong, Renato Ferreira, Tahsin M. Kurç, Joel H. Saltz, George Teodoro:
Efficient microscopy image analysis on CPU-GPU systems with cost-aware irregular data partitioning. J. Parallel Distributed Comput. 164: 40-54 (2022) - [c256]Saumya Gupta, Xiaoling Hu, James Kaan, Michael Jin, Mutshipay Mpoy, Katherine Chung, Gagandeep Singh, Mary M. Saltz, Tahsin M. Kurç, Joel H. Saltz, Apostolos Tassiopoulos, Prateek Prasanna, Chao Chen:
Learning Topological Interactions for Multi-Class Medical Image Segmentation. ECCV (29) 2022: 701-718 - [c255]Souradeep Chakraborty, Ke Ma, Rajarsi Gupta, Beatrice Knudsen, Gregory J. Zelinsky, Joel H. Saltz, Dimitris Samaras:
Visual Attention Analysis Of Pathologists Examining Whole Slide Images Of Prostate Cancer. ISBI 2022: 1-5 - [c254]Souradeep Chakraborty, Rajarsi Gupta, Ke Ma, Darshana Govind, Pinaki Sarder, Won-Tak Choi, Waqas Mahmud, Eric Yee, Felicia Allard, Beatrice Knudsen, Gregory J. Zelinsky, Joel H. Saltz, Dimitris Samaras:
Predicting the Visual Attention of Pathologists Evaluating Whole Slide Images of Cancer. MOVI@MICCAI 2022: 11-21 - [c253]Jingwei Zhang, Xin Zhang, Ke Ma, Rajarsi Gupta, Joel H. Saltz, Maria Vakalopoulou, Dimitris Samaras:
Gigapixel Whole-Slide Images Classification Using Locally Supervised Learning. MICCAI (2) 2022: 192-201 - [i35]Souradeep Chakraborty, Ke Ma, Rajarsi Gupta, Beatrice Knudsen, Gregory J. Zelinsky, Joel H. Saltz, Dimitris Samaras:
Visual attention analysis of pathologists examining whole slide images of Prostate cancer. CoRR abs/2202.08437 (2022) - [i34]Ujjwal Baid, Sarthak Pati, Tahsin M. Kurç, Rajarsi Gupta, Erich Bremer, Shahira Abousamra, Siddhesh P. Thakur, Joel H. Saltz, Spyridon Bakas:
Federated Learning for the Classification of Tumor Infiltrating Lymphocytes. CoRR abs/2203.16622 (2022) - [i33]Mahmudul Hasan, Jakub R. Kaczmarzyk, David Paredes, Lyanne Oblein, Jaymie Oentoro, Shahira Abousamra, Michael Horowitz, Dimitris Samaras, Chao Chen, Tahsin M. Kurç, Kenneth R. Shroyer, Joel H. Saltz:
A Novel Framework for Characterization of Tumor-Immune Spatial Relationships in Tumor Microenvironment. CoRR abs/2204.12283 (2022) - [i32]Jakub R. Kaczmarzyk, Tahsin M. Kurç, Shahira Abousamra, Rajarsi Gupta, Joel H. Saltz, Peter K. Koo:
Evaluating histopathology transfer learning with ChampKit. CoRR abs/2206.06862 (2022) - [i31]Rajarsi Gupta, Jakub Kaczmarzyk, Soma Kobayashi, Tahsin M. Kurç, Joel H. Saltz:
AI and Pathology: Steering Treatment and Predicting Outcomes. CoRR abs/2206.07573 (2022) - [i30]Praphulla M. S. Bhawsar, Erich Bremer, Máire A. Duggan, Stephen J. Chanock, Montserrat Garcia-Closas, Joel H. Saltz, Jonas S. Almeida:
ImageBox3: No-Server Tile Serving to Traverse Whole Slide Images on the Web. CoRR abs/2207.01734 (2022) - [i29]Jingwei Zhang, Xin Zhang, Ke Ma, Rajarsi Gupta, Joel H. Saltz, Maria Vakalopoulou, Dimitris Samaras:
Gigapixel Whole-Slide Images Classification using Locally Supervised Learning. CoRR abs/2207.08267 (2022) - [i28]Saumya Gupta, Xiaoling Hu, James Kaan, Michael Jin, Mutshipay Mpoy, Katherine Chung, Gagandeep Singh, Mary M. Saltz, Tahsin M. Kurç, Joel H. Saltz, Apostolos Tassiopoulos, Prateek Prasanna, Chao Chen:
Learning Topological Interactions for Multi-Class Medical Image Segmentation. CoRR abs/2207.09654 (2022) - [i27]Jingwei Zhang, Saarthak Kapse, Ke Ma, Prateek Prasanna, Maria Vakalopoulou, Joel H. Saltz, Dimitris Samaras:
Precise Location Matching Improves Dense Contrastive Learning in Digital Pathology. CoRR abs/2212.12105 (2022) - 2021
- [j109]Jeremias M. Gomes, Jun Kong, Tahsin M. Kurç, Alba C. M. A. Melo, Renato Ferreira, Joel H. Saltz, George Teodoro:
Building robust pathology image analyses with uncertainty quantification. Comput. Methods Programs Biomed. 208: 106291 (2021) - [j108]Melissa A. Haendel, Christopher G. Chute, Tellen D. Bennett, David A. Eichmann, Justin Guinney, Warren A. Kibbe, Philip R. O. Payne, Emily R. Pfaff, Peter N. Robinson, Joel H. Saltz, Heidi Spratt, Christine Suver, John Wilbanks, Adam B. Wilcox, Andrew E. Williams, Chunlei Wu, Clair Blacketer, Robert L. Bradford, James J. Cimino, Marshall Clark, Evan W. Colmenares, Patricia A. Francis, Davera Gabriel, Alexis Graves, Raju Hemadri, Stephanie S. Hong, George Hripcsak, Dazhi Jiao, Jeffrey G. Klann, Kristin Kostka, Adam M. Lee, Harold P. Lehmann, Lora Lingrey, Robert T. Miller, Michele Morris, Shawn N. Murphy, Karthik Natarajan, Matvey B. Palchuk, Usman Sheikh, Harold Solbrig, Shyam Visweswaran, Anita Walden, Kellie M. Walters, Griffin M. Weber, Xiaohan Tanner Zhang, Richard L. Zhu, Benjamin R. C. Amor, Andrew T. Girvin, Amin Manna, Nabeel Qureshi, Michael G. Kurilla, Sam G. Michael, Lili M. Portilla, Joni L. Rutter, Christopher P. Austin, Ken R. Gersing:
The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment. J. Am. Medical Informatics Assoc. 28(3): 427-443 (2021) - [j107]Xinyu Dong, Jianyuan Deng, Sina Rashidian, Kayley Abell-Hart, Wei Hou, Richard N. Rosenthal, Mary M. Saltz, Joel H. Saltz, Fusheng Wang:
Identifying risk of opioid use disorder for patients taking opioid medications with deep learning. J. Am. Medical Informatics Assoc. 28(8): 1683-1693 (2021) - [j106]Xinyu Dong, Jianyuan Deng, Wei Hou, Sina Rashidian, Richard N. Rosenthal, Mary M. Saltz, Joel H. Saltz, Fusheng Wang:
Predicting opioid overdose risk of patients with opioid prescriptions using electronic health records based on temporal deep learning. J. Biomed. Informatics 116: 103725 (2021) - [c252]Sritha Rajupet, Rachel Wong, Donna Moller, Lisa Maldonado, Tricia Weiss, Tahsin M. Kurç, Janos G. Hajagos, Hasit Shah, Mary M. Saltz, Joel H. Saltz, Veena Lingam:
Informatics to Power Post-COVID Care: A Framework for Patient Care and Secondary Data Use. AMIA 2021 - [c251]Siao Sun, Fusheng Wang, Sina Rashidian, Tahsin M. Kurç, Kayley Abell-Hart, Janos G. Hajagos, Wei Zhu, Mary M. Saltz, Joel H. Saltz:
Generating Longitudinal Synthetic EHR Data with Recurrent Autoencoders and Generative Adversarial Networks. AMIA 2021 - [c250]Jingwei Zhang, Ke Ma, John S. Van Arnam, Rajarsi Gupta, Joel H. Saltz, Maria Vakalopoulou, Dimitris Samaras:
A Joint Spatial and Magnification Based Attention Framework for Large Scale Histopathology Classification. CVPR Workshops 2021: 3776-3784 - [c249]Siao Sun, Fusheng Wang, Sina Rashidian, Tahsin M. Kurç, Kayley Abell-Hart, Janos G. Hajagos, Wei Zhu, Mary M. Saltz, Joel H. Saltz:
Generating Longitudinal Synthetic EHR Data with Recurrent Autoencoders and Generative Adversarial Networks. Poly/DMAH@VLDB 2021: 153-165 - [c248]Shahira Abousamra, David Belinsky, John S. Van Arnam, Felicia Allard, Eric Yee, Rajarsi Gupta, Tahsin M. Kurç, Dimitris Samaras, Joel H. Saltz, Chao Chen:
Multi-Class Cell Detection Using Spatial Context Representation. ICCV 2021: 3985-3994 - [c247]Aishik Konwer, Joseph Bae, Gagandeep Singh, Rishabh Gattu, Syed Ali, Jeremy Green, Tej Phatak, Amit Gupta, Chao Chen, Joel H. Saltz, Prateek Prasanna:
Predicting COVID-19 Lung Infiltrate Progression on Chest Radiographs Using Spatio-temporal LSTM based Encoder-Decoder Network. MIDL 2021: 384-398 - [c246]Ana Gainaru, Dmitry Ganyushin, Bing Xie, Tahsin M. Kurç, Joel H. Saltz, Sarp Oral, Norbert Podhorszki, Franz Poeschel, Axel Huebl, Scott Klasky:
Understanding and Leveraging the I/O Patterns of Emerging Machine Learning Analytics. SMC 2021: 119-138 - [i26]Shahira Abousamra, David Belinsky, John S. Van Arnam, Felicia Allard, Eric Yee, Rajarsi Gupta, Tahsin M. Kurç, Dimitris Samaras, Joel H. Saltz, Chao Chen:
Multi-Class Cell Detection Using Spatial Context Representation. CoRR abs/2110.04886 (2021) - 2020
- [j105]Willian Barreiros Jr., Jeremias Moreira, Tahsin M. Kurç, Jun Kong, Alba C. M. A. Melo, Joel H. Saltz, George Teodoro:
Optimizing parameter sensitivity analysis of large-scale microscopy image analysis workflows with multilevel computation reuse. Concurr. Comput. Pract. Exp. 32(2) (2020) - [j104]Andreas S. Panayides, Amir A. Amini, Nenad D. Filipovic, Ashish Sharma, Sotirios A. Tsaftaris, Alistair A. Young, David J. Foran, Nhan Do, Spyretta Golemati, Tahsin M. Kurç, Kun Huang, Konstantina S. Nikita, Ben P. Veasey, Michalis E. Zervakis, Joel H. Saltz, Constantinos S. Pattichis:
AI in Medical Imaging Informatics: Current Challenges and Future Directions. IEEE J. Biomed. Health Informatics 24(7): 1837-1857 (2020) - [c245]Sina Rashidian, Fusheng Wang, Richard A. Moffitt, Victor Garcia, Anurag Dutt, Wei Chang, Vishwam Pandya, Janos G. Hajagos, Mary M. Saltz, Joel H. Saltz:
SMOOTH-GAN: Towards Sharp and Smooth Synthetic EHR Data Generation. AIME 2020: 37-48 - [c244]David Paredes, Prateek Prasanna, Christina Preece, Rajarsi Gupta, Farzad Fereidouni, Dimitris Samaras, Tahsin M. Kurç, Richard M. Levenson, Patricia Thompson-Carino, Joel H. Saltz, Chao Chen:
Automated Assessment of the Curliness of Collagen Fiber in Breast Cancer. ECCV Workshops (1) 2020: 267-279 - [c243]Shahira Abousamra, Danielle Fassler, Le Hou, Yuwei Zhang, Rajarsi Gupta, Tahsin M. Kurç, Luisa F. Escobar-Hoyos, Dimitris Samaras, Beatrice Knudson, Kenneth Shroyer, Joel H. Saltz, Chao Chen:
Weakly-Supervised Deep Stain Decomposition for Multiplex IHC Images. ISBI 2020: 481-485 - [i25]Le Hou, Rajarsi Gupta, John S. Van Arnam, Yuwei Zhang, Kaustubh Sivalenka, Dimitris Samaras, Tahsin M. Kurç, Joel H. Saltz:
Dataset of Segmented Nuclei in Hematoxylin and Eosin Stained Histopathology Images of 10 Cancer Types. CoRR abs/2002.07913 (2020) - [i24]Erich Bremer, Jonas S. Almeida, Joel H. Saltz:
Representing Whole Slide Cancer Image Features with Hilbert Curves. CoRR abs/2005.06469 (2020) - [i23]Xinyu Dong, Jianyuan Deng, Sina Rashidian, Kayley Abell-Hart, Wei Hou, Richard N. Rosenthal, Mary M. Saltz, Joel H. Saltz, Fusheng Wang:
Identifying Risk of Opioid Use Disorder for Patients Taking Opioid Medications with Deep Learning. CoRR abs/2010.04589 (2020)
2010 – 2019
- 2019
- [j103]Jeremias M. Gomes, Willian Barreiros Jr., Tahsin M. Kurç, Alba C. M. A. Melo, Jun Kong, Joel H. Saltz, George Teodoro:
Sensitivity analysis in digital pathology: Handling large number of parameters with compute expensive workflows. Comput. Biol. Medicine 108: 371-381 (2019) - [j102]Luis F. R. Taveira, Tahsin M. Kurç, Alba C. M. A. Melo, Jun Kong, Erich Bremer, Joel H. Saltz, George Teodoro:
Multi-objective Parameter Auto-tuning for Tissue Image Segmentation Workflows. J. Digit. Imaging 32(3): 521-533 (2019) - [j101]Le Hou, Vu Nguyen, Ariel B. Kanevsky, Dimitris Samaras, Tahsin M. Kurç, Tianhao Zhao, Rajarsi R. Gupta, Yi Gao, Wenjin Chen, David J. Foran, Joel H. Saltz:
Sparse autoencoder for unsupervised nucleus detection and representation in histopathology images. Pattern Recognit. 86: 188-200 (2019) - [c242]Xinyu Dong, Sina Rashidian, Yu Wang, Janos G. Hajagos, Xia Zhao, Richard N. Rosenthal, Jun Kong, Mary M. Saltz, Joel H. Saltz, Fusheng Wang:
Machine Learning Based Opioid Overdose Prediction Using Electronic Health Records. AMIA 2019 - [c241]Robert M. Patton, Shahira Abousamra, Dimitris Samaras, Joel H. Saltz, J. Travis Johnston, Steven R. Young, Catherine D. Schuman, Thomas E. Potok, Derek C. Rose, Seung-Hwan Lim, Junghoon Chae, Le Hou:
Exascale Deep Learning to Accelerate Cancer Research. IEEE BigData 2019: 1488-1496 - [c240]Rafael Marconi Ramos, Célia Ghedini Ralha, Tahsin M. Kurç, Joel H. Saltz, George Teodoro:
Increasing Accuracy of Medical CNN Applying Optimization Algorithms: An Image Classification Case. BRACIS 2019: 233-238 - [c239]Tahsin M. Kurç, Ashish Sharma, Rajarsi Gupta, Le Hou, Han Le, Shahira Abousamra, Erich Bremer, Ryan Birmingham, Tammy Diprima, Nan Li, Feiqiao Wang, Joseph Balsamo, Whitney Bremer, Dimitris Samaras, Joel H. Saltz:
From Whole Slide Tissues to Knowledge: Mapping Sub-cellular Morphology of Cancer. BrainLes@MICCAI (2) 2019: 371-379 - [c238]Paola A. Buitrago, Nicholas A. Nystrom, Rajarsi Gupta, Joel H. Saltz:
Delivering Scalable Deep Learning to Research with Bridges-AI. CARLA 2019: 200-214 - [c237]Le Hou, Ayush Agarwal, Dimitris Samaras, Tahsin M. Kurç, Rajarsi R. Gupta, Joel H. Saltz:
Robust Histopathology Image Analysis: To Label or to Synthesize? CVPR 2019: 8533-8542 - [c236]Kolya Malkin, Caleb Robinson, Le Hou, Rachel Soobitsky, Jacob Czawlytko, Dimitris Samaras, Joel H. Saltz, Lucas Joppa, Nebojsa Jojic:
Label super-resolution networks. ICLR (Poster) 2019 - [c235]Han Le, Dimitris Samaras, Tahsin M. Kurç, Rajarsi Gupta, Kenneth Shroyer, Joel H. Saltz:
Pancreatic Cancer Detection in Whole Slide Images Using Noisy Label Annotations. MICCAI (1) 2019: 541-549 - [i22]Maozheng Zhao, Le Hou, Han Le, Dimitris Samaras, Nebojsa Jojic, Danielle Fassler, Tahsin M. Kurç, Rajarsi R. Gupta, Kolya Malkin, Shahira Abousamra, Kenneth Shroyer, Joel H. Saltz:
Label Super Resolution with Inter-Instance Loss. CoRR abs/1904.04429 (2019) - [i21]Han Le, Rajarsi R. Gupta, Le Hou, Shahira Abousamra, Danielle Fassler, Tahsin M. Kurç, Dimitris Samaras, Rebecca Batiste, Tianhao Zhao, Alison L. Van Dyke, Ashish Sharma, Erich Bremer, Jonas S. Almeida, Joel H. Saltz:
Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor Infiltrating Lymphocytes in Invasive Breast Cancer. CoRR abs/1905.10841 (2019) - [i20]Shahira Abousamra, Le Hou, Rajarsi R. Gupta, Chao Chen, Dimitris Samaras, Tahsin M. Kurç, Rebecca Batiste, Tianhao Zhao, Kenneth Shroyer, Joel H. Saltz:
Learning from Thresholds: Fully Automated Classification of Tumor Infiltrating Lymphocytes for Multiple Cancer Types. CoRR abs/1907.03960 (2019) - [i19]Robert M. Patton, J. Travis Johnston, Steven R. Young, Catherine D. Schuman, Thomas E. Potok, Derek C. Rose, Seung-Hwan Lim, Junghoon Chae, Le Hou, Shahira Abousamra, Dimitris Samaras, Joel H. Saltz:
Exascale Deep Learning to Accelerate Cancer Research. CoRR abs/1909.12291 (2019) - [i18]Eduardo Scartezini, Willian Barreiros Jr., Tahsin M. Kurç, Jun Kong, Alba C. M. A. Melo, Joel H. Saltz, George Teodoro:
Run-time Parameter Sensitivity Analysis Optimizations. CoRR abs/1910.14548 (2019) - 2018
- [j100]Jeremias M. Gomes, Alba Cristina Magalhaes Alves de Melo, Jun Kong, Tahsin M. Kurç, Joel H. Saltz, George Teodoro:
Cooperative and out-of-core execution of the irregular wavefront propagation pattern on hybrid machines with Intel® Xeon Phi™. Concurr. Comput. Pract. Exp. 30(14) (2018) - [j99]Mark Asch, Terry Moore, Rosa M. Badia, Micah Beck, Peter H. Beckman, T. Bidot, François Bodin, Franck Cappello, Alok N. Choudhary, Bronis R. de Supinski, Ewa Deelman, Jack J. Dongarra, Anshu Dubey, Geoffrey C. Fox, H. Fu, Sergi Girona, William Gropp, Michael A. Heroux, Yutaka Ishikawa, Katarzyna Keahey, David E. Keyes, Bill Kramer, J.-F. Lavignon, Y. Lu, Satoshi Matsuoka, Bernd Mohr, Daniel A. Reed, S. Requena, Joel H. Saltz, Thomas C. Schulthess, Rick L. Stevens, D. Martin Swany, Alexander S. Szalay, William M. Tang, G. Varoquaux, Jean-Pierre Vilotte, Robert W. Wisniewski, Z. Xu, Igor Zacharov:
Big data and extreme-scale computing. Int. J. High Perform. Comput. Appl. 32(4): 435-479 (2018) - [c234]Tahsin M. Kurç, Joel H. Saltz, Fred W. Prior, Ashish Sharma:
Systems Demonstration: Towards a Services Oriented Platform for Combined Radiology-Pathology Image Analysis and Interpretation. AMIA 2018 - [c233]Sheetal Pandrekar Mangesh, Xin Chen, Gaurav Gopalkrishna, Avi Srivastava, Mary M. Saltz, Joel H. Saltz, Fusheng Wang:
Social Media Based Analysis of Opioid Epidemic Using Reddit. AMIA 2018 - [i17]Luis F. R. Taveira, Tahsin M. Kurç, Alba C. M. A. Melo, Jun Kong, Erich Bremer, Joel H. Saltz, George Teodoro:
Tuning for Tissue Image Segmentation Workflows for Accuracy and Performance. CoRR abs/1810.02911 (2018) - [i16]Quoc Dang Vu, Simon Graham, Minh Nguyen Nhat To, Muhammad Shaban, Talha Qaiser, Navid Alemi Koohbanani, Syed Ali Khurram, Tahsin M. Kurç, Keyvan Farahani, Tianhao Zhao, Rajarsi R. Gupta, Jin Tae Kwak, Nasir M. Rajpoot, Joel H. Saltz:
Methods for Segmentation and Classification of Digital Microscopy Tissue Images. CoRR abs/1810.13230 (2018) - [i15]Sina Rashidian, Janos G. Hajagos, Richard A. Moffitt, Fusheng Wang, Xinyu Dong, Kayley Abell-Hart, Kimberly Noel, Rajarsi R. Gupta, Mathew Tharakan, Veena Lingam, Joel H. Saltz, Mary M. Saltz:
Disease phenotyping using deep learning: A diabetes case study. CoRR abs/1811.11818 (2018) - 2017
- [j98]George Teodoro, Tahsin M. Kurç, Guilherme Andrade, Jun Kong, Renato Ferreira, Joel H. Saltz:
Application performance analysis and efficient execution on systems with multi-core CPUs, GPUs and MICs: a case study with microscopy image analysis. Int. J. High Perform. Comput. Appl. 31(1): 32-51 (2017) - [c232]Le Hou, Dimitris Samaras, Tahsin M. Kurç, Yi Gao, Joel H. Saltz:
ConvNets with Smooth Adaptive Activation Functions for Regression. AISTATS 2017: 430-439 - [c231]Xin Chen, Yu Wang, Xiaxia Yu, Elinor Schoenfeld, Mary M. Saltz, Joel H. Saltz, Fusheng Wang:
Large-scale Analysis of Opioid Poisoning Related Hospital Visits in New York State. AMIA 2017 - [c230]Joel H. Saltz, Ashish Sharma, Alexis B. Carter, Liron Pantanowitz, Tahsin M. Kurç:
20 Years of Digital Pathology - An Overview of the Road Travelled and What is on the Horizon. AMIA 2017 - [c229]Willian Barreiros, George Teodoro, Tahsin M. Kurç, Jun Kong, Alba C. M. A. Melo, Joel H. Saltz:
Parallel and Efficient Sensitivity Analysis of Microscopy Image Segmentation Workflows in Hybrid Systems. CLUSTER 2017: 25-35 - [c228]Xin Chen, Yu Wang, Elinor Schoenfeld, Mary M. Saltz, Joel H. Saltz, Fusheng Wang:
Spatio-temporal Analysis for New York State SPARCS Data. CRI 2017 - [c227]Furqan Baig, Hoang Vo, Tahsin M. Kurç, Joel H. Saltz, Fusheng Wang:
SparkGIS: Resource Aware Efficient In-Memory Spatial Query Processing. SIGSPATIAL/GIS 2017: 28:1-28:10 - [c226]Konstantin Dmitriev, Arie E. Kaufman, Ammar A. Javed, Ralph H. Hruban, Elliot K. Fishman, Anne Marie Lennon, Joel H. Saltz:
Classification of Pancreatic Cysts in Computed Tomography Images Using a Random Forest and Convolutional Neural Network Ensemble. MICCAI (3) 2017: 150-158 - [c225]Naiyun Zhou, Xiaxia Yu, Tianhao Zhao, Si Wen, Fusheng Wang, Wei Zhu, Tahsin M. Kurç, Allen R. Tannenbaum, Joel H. Saltz, Yi Gao:
Evaluation of nucleus segmentation in digital pathology images through large scale image synthesis. Digital Pathology 2017: 101400K - [c224]Veda Murthy, Le Hou, Dimitris Samaras, Tahsin M. Kurç, Joel H. Saltz:
Center-Focusing Multi-task CNN with Injected Features for Classification of Glioma Nuclear Images. WACV 2017: 834-841 - [i14]Le Hou, Vu Nguyen, Dimitris Samaras, Tahsin M. Kurç, Yi Gao, Tianhao Zhao, Joel H. Saltz:
Sparse Autoencoder for Unsupervised Nucleus Detection and Representation in Histopathology Images. CoRR abs/1704.00406 (2017) - [i13]Le Hou, Ayush Agarwal, Dimitris Samaras, Tahsin M. Kurç, Rajarsi R. Gupta, Joel H. Saltz:
Unsupervised Histopathology Image Synthesis. CoRR abs/1712.05021 (2017) - 2016
- [c223]Erich Bremer, Tahsin M. Kurç, Yi Gao, Joel H. Saltz, Jonas S. Almeida:
Safe "cloudification" of large images through picker APIs. AMIA 2016 - [c222]Veronica E. Lynn, Niranjan Balasubramanian, Tahsin M. Kurç, Joel H. Saltz, Rebecca Jacobson:
POE: A Pathology Extraction Tool for Finding Attribute-Value Pairs in Glioma Pathology Reports. AMIA 2016 - [c221]Sarah B. Putney, Andrew White, Janos G. Hajagos, Joel H. Saltz, Jonas S. Almeida, Mary M. Saltz:
S2CR3UM: A Solution to the In Silico Relevance, Reliability & Reproducibility Conundrum. AMIA 2016 - [c220]Le Hou, Dimitris Samaras, Tahsin M. Kurç, Yi Gao, James E. Davis, Joel H. Saltz:
Patch-Based Convolutional Neural Network for Whole Slide Tissue Image Classification. CVPR 2016: 2424-2433 - [c219]Yi Gao, William Liu, Shipra Arjun, Liangjia Zhu, Vadim Ratner, Tahsin M. Kurç, Joel H. Saltz, Allen R. Tannenbaum:
Multi-scale learning based segmentation of glands in digital colonrectal pathology images. Digital Pathology 2016: 97910M - [c218]Yi Gao, Vadim Ratner, Liangjia Zhu, Tammy Diprima, Tahsin M. Kurç, Allen R. Tannenbaum, Joel H. Saltz:
Hierarchical nucleus segmentation in digital pathology images. Digital Pathology 2016: 979117 - [i12]Le Hou, Dimitris Samaras, Tahsin M. Kurç, Yi Gao, Joel H. Saltz:
Neural Networks with Smooth Adaptive Activation Functions for Regression. CoRR abs/1608.06557 (2016) - [i11]George Teodoro, Tahsin M. Kurç, Luis F. R. Taveira, Alba C. M. A. Melo, Jun Kong, Joel H. Saltz:
Efficient Methods and Parallel Execution for Algorithm Sensitivity Analysis with Parameter Tuning on Microscopy Imaging Datasets. CoRR abs/1612.03413 (2016) - [i10]Veda Murthy, Le Hou, Dimitris Samaras, Tahsin M. Kurç, Joel H. Saltz:
Center-Focusing Multi-task CNN with Injected Features for Classification of Glioma Nuclear Images. CoRR abs/1612.06825 (2016) - 2015
- [j97]Tahsin M. Kurç, Xin Qi, Daihou Wang, Fusheng Wang, George Teodoro, Lee Cooper, Michael Nalisnik, Lin Yang, Joel H. Saltz, David J. Foran:
Scalable analysis of Big pathology image data cohorts using efficient methods and high-performance computing strategies. BMC Bioinform. 16: 399:1-399:21 (2015) - [c217]Jonas S. Almeida, Janos G. Hajagos, Ivan Crnosija, Tahsin M. Kurç, Mary M. Saltz, Joel H. Saltz:
OpenHealth Platform for Interactive Contextualization of Population Health Open Data. AMIA 2015 - [c216]Mary M. Saltz, Joel H. Saltz, Janos G. Hajagos, Andrew White, Charles Boicey, Jim Murry, Ivan Crnosija, Tahsin M. Kurç, Erich Bremer, Jonas S. Almeida:
Integrative Informatics and Predictive Modeling Support for Population Health. AMIA 2015 - [c215]Jeremias M. Gomes, George Teodoro, Alba de Melo, Jun Kong, Tahsin M. Kurç, Joel H. Saltz:
Efficient Irregular Wavefront Propagation Algorithms on Intel(R) Xeon Phi(TM). SBAC-PAD 2015: 25-32 - [c214]Naiyun Zhou, Joel H. Saltz, Klaus Mueller:
Maps of Human Disease: A Web-Based Framework for the Visualization of Human Disease Comorbidity and Clinical Profile Overlay. Big-O(Q)/DMAH@VLDB 2015: 47-60 - [c213]Furqan Baig, Mudit Mehrotra, Hoang Vo, Fusheng Wang, Joel H. Saltz, Tahsin M. Kurç:
SparkGIS: Efficient Comparison and Evaluation of Algorithm Results in Tissue Image Analysis Studies. Big-O(Q)/DMAH@VLDB 2015: 134-146 - [i9]Le Hou, Dimitris Samaras, Tahsin M. Kurç, Yi Gao, James E. Davis, Joel H. Saltz:
Efficient Multiple Instance Convolutional Neural Networks for Gigapixel Resolution Image Classification. CoRR abs/1504.07947 (2015) - [i8]George Teodoro, Tahsin M. Kurç, Guilherme Andrade, Jun Kong, Renato Ferreira, Joel H. Saltz:
Performance Analysis and Efficient Execution on Systems with multi-core CPUs, GPUs and MICs. CoRR abs/1505.03819 (2015) - 2014
- [j96]Lin Yang, Xin Qi, Fuyong Xing, Tahsin M. Kurç, Joel H. Saltz, David J. Foran:
Parallel content-based sub-image retrieval using hierarchical searching. Bioinform. 30(7): 996-1002 (2014) - [j95]Sanjay Agravat, Joel H. Saltz, Richard D. Cummings, David F. Smith:
GlycoPattern: a web platform for glycan array mining. Bioinform. 30(23): 3417-3418 (2014) - [j94]George Teodoro, Tony Pan, Tahsin M. Kurç, Jun Kong, Lee Cooper, Scott Klasky, Joel H. Saltz:
Region templates: Data representation and management for high-throughput image analysis. Parallel Comput. 40(10): 589-610 (2014) - [j93]George Teodoro, Eduardo Valle, Nathan Mariano, Ricardo da Silva Torres, Wagner Meira Jr., Joel H. Saltz:
Approximate similarity search for online multimedia services on distributed CPU-GPU platforms. VLDB J. 23(3): 427-448 (2014) - [c212]George Teodoro, Tahsin M. Kurç, Jun Kong, Lee Cooper, Joel H. Saltz:
Comparative Performance Analysis of Intel (R) Xeon Phi (TM), GPU, and CPU: A Case Study from Microscopy Image Analysis. IPDPS 2014: 1063-1072 - [c211]Guilherme Andrade, Renato Ferreira, George Teodoro, Leonardo Rocha, Joel H. Saltz, Tahsin M. Kurç:
Efficient Execution of Microscopy Image Analysis on CPU, GPU, and MIC Equipped Cluster Systems. SBAC-PAD 2014: 89-96 - [i7]George Teodoro, Tony Pan, Tahsin M. Kurç, Jun Kong, Lee Cooper, Scott Klasky, Joel H. Saltz:
Region Templates: Data Representation and Management for Large-Scale Image Analysis. CoRR abs/1405.7958 (2014) - 2013
- [j92]Joel H. Saltz, George Teodoro, Tony Pan, Lee A. D. Cooper, Jun Kong, Scott Klasky, Tahsin M. Kurç:
Feature-based analysis of large-scale spatio-temporal sensor data on hybrid architectures. Int. J. High Perform. Comput. Appl. 27(3): 263-272 (2013) - [j91]Cristobal Vergara-Niedermayr, Fusheng Wang, Tony Pan, Tahsin M. Kurç, Joel H. Saltz:
Semantically Interoperable XML Data. Int. J. Semantic Comput. 7(3): 237-256 (2013) - [j90]David A. Gutman, Jake Cobb, Dhananjaya Somanna, Yuna Park, Fusheng Wang, Tahsin M. Kurç, Joel H. Saltz, Daniel J. Brat, Lee A. D. Cooper:
Research and applications: Cancer Digital Slide Archive: an informatics resource to support integrated in silico analysis of TCGA pathology data. J. Am. Medical Informatics Assoc. 20(6): 1091-1098 (2013) - [j89]Andrew R. Post, Tahsin M. Kurç, Sharath R. Cholleti, Jingjing Gao, Xia Lin, William Bornstein, Dedra Cantrell, David Levine, Sam Hohmann, Joel H. Saltz:
The Analytic Information Warehouse (AIW): A platform for analytics using electronic health record data. J. Biomed. Informatics 46(3): 410-424 (2013) - [j88]George Teodoro, Tony Pan, Tahsin M. Kurç, Jun Kong, Lee A. D. Cooper, Joel H. Saltz:
Efficient irregular wavefront propagation algorithms on hybrid CPU-GPU machines. Parallel Comput. 39(4-5): 189-211 (2013) - [j87]Ablimit Aji, Fusheng Wang, Hoang Vo, Rubao Lee, Qiaoling Liu, Xiaodong Zhang, Joel H. Saltz:
Hadoop-GIS: A High Performance Spatial Data Warehousing System over MapReduce. Proc. VLDB Endow. 6(11): 1009-1020 (2013) - [c210]Andrew R. Post, Tahsin M. Kurç, Richie Willard, Himanshu Rathod, Michel Mansour, Akshatha Kalsanka Pai, William M. Torian, Sanjay Agravat, Suzanne Sturm, Joel H. Saltz:
Temporal Abstraction-based Clinical Phenotyping with Eureka! AMIA 2013 - [c209]Andrew R. Post, Tahsin M. Kurç, Richie Willard, Himanshu Rathod, Michel Mansour, Akshatha Kalsanka Pai, William M. Torian, Sanjay Agravat, Suzanne Sturm, Joel H. Saltz:
Clinical Phenotyping with the Analytic Information Warehouse. AMIA 2013 - [c208]Jun Kong, Fusheng Wang, George Teodoro, Lee Cooper, Carlos Sanchez Moreno, Tahsin M. Kurç, Tony Pan, Joel H. Saltz, Daniel J. Brat:
High-performance computational analysis of glioblastoma pathology images with database support identifies molecular and survival correlates. BIBM 2013: 229-236 - [c207]Ablimit Aji, Xiling Sun, Hoang Vo, Qiaoling Liu, Rubao Lee, Xiaodong Zhang, Joel H. Saltz, Fusheng Wang:
Demonstration of Hadoop-GIS: a spatial data warehousing system over MapReduce. SIGSPATIAL/GIS 2013: 518-521 - [c206]George Teodoro, Tony Pan, Tahsin M. Kurç, Jun Kong, Lee A. D. Cooper, Norbert Podhorszki, Scott Klasky, Joel H. Saltz:
High-throughput Analysis of Large Microscopy Image Datasets on CPU-GPU Cluster Platforms. IPDPS 2013: 103-114 - [i6]Thiago S. F. X. Teixeira, George Teodoro, Eduardo Valle, Joel H. Saltz:
Scalable Locality-Sensitive Hashing for Similarity Search in High-Dimensional, Large-Scale Multimedia Datasets. CoRR abs/1310.4136 (2013) - [i5]George Teodoro, Tahsin M. Kurç, Jun Kong, Lee Cooper, Joel H. Saltz:
Comparative Performance Analysis of Intel Xeon Phi, GPU, and CPU. CoRR abs/1311.0378 (2013) - 2012
- [j86]Lee A. D. Cooper, Jun Kong, David A. Gutman, Fusheng Wang, Jingjing Gao, Christina Appin, Sharath R. Cholleti, Tony Pan, Ashish Sharma, Lisa Scarpace, Tom Mikkelsen, Tahsin M. Kurç, Carlos Sanchez Moreno, Daniel J. Brat, Joel H. Saltz:
Integrated morphologic analysis for the identification and characterization of disease subtypes. J. Am. Medical Informatics Assoc. 19(2): 317-323 (2012) - [j85]Lee A. D. Cooper, Alexis B. Carter, Alton B. Farris, Fusheng Wang, Jun Kong, David A. Gutman, Patrick M. Widener, Tony C. Pan, Sharath R. Cholleti, Ashish Sharma, Tahsin M. Kurç, Daniel J. Brat, Joel H. Saltz:
Digital Pathology: Data-Intensive Frontier in Medical Imaging. Proc. IEEE 100(4): 991-1003 (2012) - [j84]Kaibo Wang, Yin Huai, Rubao Lee, Fusheng Wang, Xiaodong Zhang, Joel H. Saltz:
Accelerating Pathology Image Data Cross-Comparison on CPU-GPU Hybrid Systems. Proc. VLDB Endow. 5(11): 1543-1554 (2012) - [c205]Sharath R. Cholleti, Andrew R. Post, Jingjing Gao, Xia Lin, William Bornstein, Dedra Cantrell, Joel H. Saltz:
Leveraging Derived Data Elements in Data Analytic Models for Understanding and Predicting Hospital Readmissions. AMIA 2012 - [c204]Jingjing Gao, Andrew R. Post, Sharath R. Cholleti, Himanshu Rathod, William Bornstein, Dedra Cantrell, Joel H. Saltz:
A Pipeline Supporting Efficient and Flexible Analytics Using Longitudinal and High-dimensional Extracts from Clinical Databases. AMIA 2012 - [c203]Mijung Kim, Jake Cobb, Tahsin M. Kurç, Alessandro Orso, Mary Jean Harrold, Andrew R. Post, Shamkant B. Navathe, Joel H. Saltz:
Systematic Modeling, Testing, and Monitoring of Information Integrity in Federated Ontology-driven Data Sources. AMIA 2012 - [c202]Tahsin M. Kurç, Joel H. Saltz, George Teodoro, Tony Pan, Lee A. D. Cooper, Jun Kong, David A. Gutman, Daniel J. Brat, Fusheng Wang:
High Performance Computing for Integrative Analysis of Large Pathology Image Datasets. AMIA 2012 - [c201]Shuai Zheng, Fusheng Wang, James J. Lu, Joel H. Saltz:
Enabling ontology based semantic queries in biomedical database systems. CIKM 2012: 2651-2654 - [c200]Sourabh Khire, Lee Cooper, Yuna Park, Alexis B. Carter, Nikil Jayant, Joel H. Saltz:
ZPEG: A hybrid DPCM-DCT based approach for compression of Z-stack images. EMBC 2012: 5424-5427 - [c199]Ablimit Aji, Fusheng Wang, Joel H. Saltz:
Towards building a high performance spatial query system for large scale medical imaging data. SIGSPATIAL/GIS 2012: 309-318 - [c198]George Teodoro, Tahsin M. Kurç, Tony Pan, Lee A. D. Cooper, Jun Kong, Patrick M. Widener, Joel H. Saltz:
Accelerating Large Scale Image Analyses on Parallel, CPU-GPU Equipped Systems. IPDPS 2012: 1093-1104 - [c197]Mijung Kim, Jake Cobb, Mary Jean Harrold, Tahsin M. Kurç, Alessandro Orso, Joel H. Saltz, Andrew R. Post, Kunal Malhotra, Shamkant B. Navathe:
Efficient regression testing of ontology-driven systems. ISSTA 2012: 320-330 - [i4]Kaibo Wang, Yin Huai, Rubao Lee, Fusheng Wang, Xiaodong Zhang, Joel H. Saltz:
Accelerating Pathology Image Data Cross-Comparison on CPU-GPU Hybrid Systems. CoRR abs/1208.0277 (2012) - [i3]George Teodoro, Eduardo Valle, Nathan Mariano, Ricardo da Silva Torres, Wagner Meira Jr., Joel H. Saltz:
Approximate Similarity Search for Online Multimedia Services on Distributed CPU-GPU Platforms. CoRR abs/1209.0410 (2012) - [i2]George Teodoro, Tony Pan, Tahsin M. Kurç, Jun Kong, Lee Cooper, Joel H. Saltz:
Efficient Irregular Wavefront Propagation Algorithms on Hybrid CPU-GPU Machines. CoRR abs/1209.3314 (2012) - [i1]George Teodoro, Tony Pan, Tahsin M. Kurç, Jun Kong, Lee A. D. Cooper, Joel H. Saltz:
High-throughput Execution of Hierarchical Analysis Pipelines on Hybrid Cluster Platforms. CoRR abs/1209.3332 (2012) - 2011
- [j83]David J. Foran, Lin Yang, Wenjin Chen, Jun Hu, Lauri A. Goodell, Michael Reiss, Fusheng Wang, Tahsin M. Kurç, Tony Pan, Ashish Sharma, Joel H. Saltz:
ImageMiner: a software system for comparative analysis of tissue microarrays using content-based image retrieval, high-performance computing, and grid technology. J. Am. Medical Informatics Assoc. 18(4): 403-415 (2011) - [j82]Naga Vydyanathan, Ümit V. Çatalyürek, Tahsin M. Kurç, Ponnuswamy Sadayappan, Joel H. Saltz:
Optimizing latency and throughput of application workflows on clusters. Parallel Comput. 37(10-11): 694-712 (2011) - [j81]Jun Kong, Lee A. D. Cooper, Fusheng Wang, David A. Gutman, Jingjing Gao, Candace Chisolm, Ashish Sharma, Tony Pan, Erwin G. Van Meir, Tahsin M. Kurç, Carlos Sanchez Moreno, Joel H. Saltz, Daniel J. Brat:
Integrative, Multimodal Analysis of Glioblastoma Using TCGA Molecular Data, Pathology Images, and Clinical Outcomes. IEEE Trans. Biomed. Eng. 58(12): 3469-3474 (2011) - [c196]Jun Kong, Michael J. Lee, Pelin Bagci, Puneet Sharma, Diego R. Martín, N. Volkan Adsay, Joel H. Saltz, Alton B. Farris:
Computer-Based Image Analysis of Liver Steatosis with Large-Scale Microscopy Imagery and Correlation with Magnetic Resonance Imaging Lipid Analysis. BIBM 2011: 333-338 - [c195]Apurva Mohan, Douglas M. Blough, Tahsin M. Kurç, Andrew R. Post, Joel H. Saltz:
Detection of Conflicts and Inconsistencies in Taxonomy-Based Authorization Policies. BIBM 2011: 590-594 - [c194]Jun Kong, Lee Cooper, Carlos Sanchez Moreno, Fusheng Wang, Tahsin M. Kurç, Joel H. Saltz, Daniel J. Brat:
In silico analysis of nuclei in glioblastoma using large-scale microscopy images improves prediction of treatment response. EMBC 2011: 87-90 - [c193]Jun Kong, Lee Cooper, Tahsin M. Kurç, Daniel J. Brat, Joel H. Saltz:
Towards building computerized image analysis framework for nucleus discrimination in microscopy images of diffuse glioma. EMBC 2011: 6605-6608 - [c192]Lee A. D. Cooper, Joel H. Saltz, Ümit V. Çatalyürek, Kun Huang:
Acceleration of Two Point Correlation Function Calculation for Pathology Image Segmentation. HISB 2011: 174-181 - [c191]Lee A. D. Cooper, Jun Kong, Fusheng Wang, Tahsin M. Kurç, Carlos Sanchez Moreno, Daniel J. Brat, Joel H. Saltz:
Morphological signatures and genomic correlates in glioblastoma. ISBI 2011: 1624-1627 - [c190]Jun Kong, Lee Cooper, Fusheng Wang, Candace Chisolm, Carlos Sanchez Moreno, Tahsin M. Kurç, Patrick M. Widener, Daniel J. Brat, Joel H. Saltz:
A comprehensive framework for classification of nuclei in digital microscopy imaging: An application to diffuse gliomas. ISBI 2011: 2128-2131 - [c189]Jun Kong, Lee Cooper, Ashish Sharma, Tahsin M. Kurç, Daniel J. Brat, Joel H. Saltz:
A new steerable pressure force for parametric deformable models. Image Processing 2011: 79623N - [r1]Joel H. Saltz, Raja Das:
Run Time Parallelization. Encyclopedia of Parallel Computing 2011: 1765-1771 - 2010
- [j80]Vijay S. Kumar, Tahsin M. Kurç, Varun Ratnakar, Jihie Kim, Gaurang Mehta, Karan Vahi, Yoon-Ju Lee Nelson, P. Sadayappan, Ewa Deelman, Yolanda Gil, Mary W. Hall, Joel H. Saltz:
Parameterized specification, configuration and execution of data-intensive scientific workflows. Clust. Comput. 13(3): 315-333 (2010) - [j79]Shahid H. Bokhari, Joel H. Saltz:
Exploring the performance of massively multithreaded architectures. Concurr. Comput. Pract. Exp. 22(5): 588-616 (2010) - [j78]Jeffrey W. Prescott, Dongqing Zhang, Jian Z. Wang, Nina A. Mayr, William T. C. Yuh, Joel H. Saltz, Metin N. Gurcan:
Temporal Analysis of Tumor Heterogeneity and Volume for Cervical Cancer Treatment Outcome Prediction: Preliminary Evaluation. J. Digit. Imaging 23(3): 342-357 (2010) - [j77]Lee A. D. Cooper, Jun Kong, David A. Gutman, Fusheng Wang, Sharath R. Cholleti, Tony C. Pan, Patrick M. Widener, Ashish Sharma, Tom Mikkelsen, Adam E. Flanders, Daniel L. Rubin, Erwin G. Van Meir, Tahsin M. Kurç, Carlos Sanchez Moreno, Daniel J. Brat, Joel H. Saltz:
An Integrative Approach for In Silico Glioma Research. IEEE Trans. Biomed. Eng. 57(10): 2617-2621 (2010) - [c188]Lee Cooper, Joel H. Saltz, Raghu Machiraju, Kun Huang:
Two-point correlation as a feature for histology images: Feature space structure and correlation updating. CVPR Workshops 2010: 79-86 - [c187]Alfredo Tirado-Ramos, Joel H. Saltz, Mary Jo Lechowicz:
HIV-K: an Integrative Knowledge Base for Semantic Integration of AIDS-related Malignancy Data and Treatment Outcomes. HealthGrid 2010: 239-243 - [c186]Jun Kong, Lee Cooper, Ashish Sharma, Tahsin M. Kurç, Daniel J. Brat, Joel H. Saltz:
Texture based image recognition in microscopy images of diffuse gliomas with multi-class gentle boosting mechanism. ICASSP 2010: 457-460 - [c185]James J. Gardner, Li Xiong, Fusheng Wang, Andrew R. Post, Joel H. Saltz, Tyrone Grandison:
An evaluation of feature sets and sampling techniques for de-identification of medical records. IHI 2010: 183-190 - [c184]Patrick M. Widener, Tahsin M. Kurç, Wenjin Chen, Fusheng Wang, Lin Yang, Jun Hu, Vijay Kumar, Vicky Chu, Lee Cooper, Jun Kong, Ashish Sharma, Tony Pan, Joel H. Saltz, David J. Foran:
High Performance Computing Techniques for Scaling Image Analysis Workflows. PARA (2) 2010: 67-77
2000 – 2009
- 2009
- [j76]Huaxia Qin, Michael W. Y. Chan, Sandya Liyanarachchi, Curtis Balch, Dustin P. Potter, Irene J. Souriraj, Alfred S. L. Cheng, Francisco J. Agosto-Perez, Elena Nikonova, Pearlly Yan, Huey-Jen Lin, Kenneth P. Nephew, Joel H. Saltz, Louise C. Showe, Tim Hui-Ming Huang, Ramana V. Davuluri:
An integrative ChIP-chip and gene expression profiling to model SMAD regulatory modules. BMC Syst. Biol. 3: 73 (2009) - [j75]Antonio Ruiz, Olcay Sertel, Manuel Ujaldon, Ümit V. Çatalyürek, Joel H. Saltz, Metin N. Gurcan:
Stroma classification for neuroblastoma on graphics processors. Int. J. Data Min. Bioinform. 3(3): 280-298 (2009) - [j74]Tahsin M. Kurç, Shannon Hastings, Vijay S. Kumar, Stephen Langella, Ashish Sharma, Tony Pan, Scott Oster, David Ervin, Justin Permar, Sivaramakrishnan Narayanan, Yolanda Gil, Ewa Deelman, Mary W. Hall, Joel H. Saltz:
HPC and Grid Computing for Integrative Biomedical Research. Int. J. High Perform. Comput. Appl. 23(3): 252-264 (2009) - [j73]Ashish Sharma, Tony Pan, Berkant Barla Cambazoglu, Metin N. Gurcan, Tahsin M. Kurç, Joel H. Saltz:
VirtualPACS - A Federating Gateway to Access Remote Image Data Resources over the Grid. J. Digit. Imaging 22(1): 1-10 (2009) - [j72]Selnur Erdal, Ümit V. Çatalyürek, Philip R. O. Payne, Joel H. Saltz, Jyoti Kamal, Metin N. Gurcan:
A Knowledge-Anchored Integrative Image Search and Retrieval System. J. Digit. Imaging 22(2): 166-182 (2009) - [j71]Kishore Mosaliganti, Firdaus Janoos, M. Okan Irfanoglu, Randall Ridgway, Raghu Machiraju, Kun Huang, Joel H. Saltz, Gustavo Leone, Michael C. Ostrowski:
Tensor classification of N-point correlation function features for histology tissue segmentation. Medical Image Anal. 13(1): 156-166 (2009) - [j70]Jun Kong, Olcay Sertel, Hiroyuki Shimada, Kim L. Boyer, Joel H. Saltz, Metin N. Gurcan:
Computer-aided evaluation of neuroblastoma on whole-slide histology images: Classifying grade of neuroblastic differentiation. Pattern Recognit. 42(6): 1080-1092 (2009) - [j69]Olcay Sertel, Jun Kong, Hiroyuki Shimada, Ümit V. Çatalyürek, Joel H. Saltz, Metin N. Gurcan:
Computer-aided prognosis of neuroblastoma on whole-slide images: Classification of stromal development. Pattern Recognit. 42(6): 1093-1103 (2009) - [j68]Nagavijayalakshmi Vydyanathan, Sriram Krishnamoorthy, Gerald M. Sabin, Ümit V. Çatalyürek, Tahsin M. Kurç, P. Sadayappan, Joel H. Saltz:
An Integrated Approach to Locality-Conscious Processor Allocation and Scheduling of Mixed-Parallel Applications. IEEE Trans. Parallel Distributed Syst. 20(8): 1158-1172 (2009) - [j67]Olcay Sertel, Jun Kong, Ümit V. Çatalyürek, Gerard Lozanski, Joel H. Saltz, Metin N. Gurcan:
Histopathological Image Analysis Using Model-Based Intermediate Representations and Color Texture: Follicular Lymphoma Grading. J. Signal Process. Syst. 55(1-3): 169-183 (2009) - [c183]Vijay S. Kumar, P. Sadayappan, Gaurang Mehta, Karan Vahi, Ewa Deelman, Varun Ratnakar, Jihie Kim, Yolanda Gil, Mary W. Hall, Tahsin M. Kurç, Joel H. Saltz:
An integrated framework for performance-based optimization of scientific workflows. HPDC 2009: 177-186 - [c182]Vijay S. Kumar, Tahsin M. Kurç, Joel H. Saltz, Ghaleb Abdulla, Scott R. Kohn, Celeste Matarazzo:
Architectural implications for spatial object association algorithms. IPDPS 2009: 1-12 - [c181]David J. Foran, Lin Yang, Oncel Tuzel, Wenjin Chen, Jun Hu, Tahsin M. Kurç, Renato Ferreira, Joel H. Saltz:
A caGrid-Enabled, Learning Based Image Segmentation Method for Histopathology Specimens. ISBI 2009: 1306-1309 - [c180]Sivaramakrishnan Narayanan, Ümit V. Çatalyürek, Tahsin M. Kurç, Joel H. Saltz:
Parallel materialization of large ABoxes. SAC 2009: 1257-1261 - 2008
- [j66]Vijay S. Kumar, Sivaramakrishnan Narayanan, Tahsin M. Kurç, Jun Kong, Metin N. Gurcan, Joel H. Saltz:
Analysis and Semantic Querying in Large Biomedical Image Datasets. Computer 41(4): 52-59 (2008) - [j65]Joel H. Saltz, Tahsin M. Kurç, Shannon Hastings, Stephen Langella, Scott Oster, David Ervin, Ashish Sharma, Tony Pan, Metin N. Gurcan, Justin Permar, Renato Ferreira, Philip R. O. Payne, Ümit V. Çatalyürek, Enrico Caserta, Gustavo Leone, Michael C. Ostrowski, Ravi K. Madduri, Ian T. Foster, Subhasree Madhavan, Kenneth H. Buetow, Krishnakant Shanbhag, Eliot L. Siegel:
e-Science, caGrid, and Translational Biomedical Research. Computer 41(11): 58-66 (2008) - [j64]George Teodoro, Tulio Tavares, Renato Ferreira, Tahsin M. Kurç, Wagner Meira Jr., Dorgival Olavo Guedes Neto, Tony Pan, Joel H. Saltz:
A Run-time System for Efficient Execution of Scientific Workflows on Distributed Environments. Int. J. Parallel Program. 36(2): 250-266 (2008) - [j63]Scott Oster, Stephen Langella, Shannon Hastings, David Ervin, Ravi K. Madduri, Joshua Phillips, Tahsin M. Kurç, Frank Siebenlist, Peter A. Covitz, Krishnakant Shanbhag, Ian T. Foster, Joel H. Saltz:
Model Formulation: caGrid 1.0: An Enterprise Grid Infrastructure for Biomedical Research. J. Am. Medical Informatics Assoc. 15(2): 138-149 (2008) - [j62]Stephen Langella, Shannon Hastings, Scott Oster, Tony Pan, Ashish Sharma, Justin Permar, David Ervin, Berkant Barla Cambazoglu, Tahsin M. Kurç, Joel H. Saltz:
Model Formulation: Sharing Data and Analytical Resources Securely in a Biomedical Research Grid Environment. J. Am. Medical Informatics Assoc. 15(3): 363-373 (2008) - [j61]Kishore Mosaliganti, Tony Pan, Randall Ridgway, Richard Sharp, Lee Cooper, Alex Gulacy, Ashish Sharma, M. Okan Irfanoglu, Raghu Machiraju, Tahsin M. Kurç, Alain de Bruin, Pamela Wenzel, Gustavo Leone, Joel H. Saltz, Kun Huang:
An imaging workflow for characterizing phenotypical change in large histological mouse model datasets. J. Biomed. Informatics 41(6): 863-873 (2008) - [j60]Vijay S. Kumar, Benjamin Rutt, Tahsin M. Kurç, Ümit V. Çatalyürek, Tony C. Pan, Sunny K. Chow, Stephan Lamont, Maryann E. Martone, Joel H. Saltz:
Large-Scale Biomedical Image Analysis in Grid Environments. IEEE Trans. Inf. Technol. Biomed. 12(2): 154-161 (2008) - [j59]Kishore Mosaliganti, Lee Cooper, Richard Sharp, Raghu Machiraju, Gustavo Leone, Kun Huang, Joel H. Saltz:
Reconstruction of Cellular Biological Structures from Optical Microscopy Data. IEEE Trans. Vis. Comput. Graph. 14(4): 863-876 (2008) - [c179]Joel H. Saltz, Shannon Hastings, Stephen Langella, Scott Oster, Tahsin M. Kurç, Philip R. O. Payne, Renato Ferreira, Beth Plale, Carole A. Goble, David Ervin, Ashish Sharma, Tony Pan, Justin Permar, Peter Brezany, Frank Siebenlist, Ravi K. Madduri, Ian T. Foster, Krishnakant Shanbhag, Charlie Mead, Neil P. Chue Hong:
A Roadmap for caGrid, an Enterprise Grid Architecture for Biomedical Research. HealthGrid 2008: 224-237 - [c178]Ümit V. Çatalyürek, Timothy D. R. Hartley, Olcay Sertel, Manuel Ujaldon, Antonio Ruiz, Joel H. Saltz, Metin N. Gurcan:
Processing of Large-Scale Biomedical Images on a Cluster of Multicore CPUs and GPUs. High Performance Computing Workshop 2008: 341-364 - [c177]Gaurav Khanna, Ümit V. Çatalyürek, Tahsin M. Kurç, P. Sadayappan, Joel H. Saltz, Rajkumar Kettimuthu, Ian T. Foster:
Multi-hop path splitting and multi-pathing optimizations for data transfers over shared wide-area networks using gridFTP. HPDC 2008: 225-226 - [c176]Olcay Sertel, Jun Kong, Gerard Lozanski, Arwa Shanaah, Ümit V. Çatalyürek, Joel H. Saltz, Metin N. Gurcan:
Texture classification using nonlinear color quantization: Application to histopathological image analysis. ICASSP 2008: 597-600 - [c175]Nagavijayalakshmi Vydyanathan, Ümit V. Çatalyürek, Tahsin M. Kurç, P. Sadayappan, Joel H. Saltz:
A Duplication Based Algorithm for Optimizing Latency Under Throughput Constraints for Streaming Workflows. ICPP 2008: 254-261 - [c174]Gaurav Khanna, Ümit V. Çatalyürek, Tahsin M. Kurç, Rajkumar Kettimuthu, P. Sadayappan, Joel H. Saltz:
A dynamic scheduling approach for coordinated wide-area data transfers using GridFTP. IPDPS 2008: 1-12 - [c173]Vijay S. Kumar, Mary W. Hall, Jihie Kim, Yolanda Gil, Tahsin M. Kurç, Ewa Deelman, Varun Ratnakar, Joel H. Saltz:
Designing and parameterizing a workflow for optimization: A case study in biomedical imaging. IPDPS 2008: 1-5 - [c172]Joel H. Saltz, Scott Oster, Shannon Hastings, Stephen Langella, Renato Ferreira, Justin Permar, Ashish Sharma, David Ervin, Tony Pan, Ümit V. Çatalyürek, Tahsin M. Kurç:
Translational research design templates, Grid computing, and HPC. IPDPS 2008: 1-15 - [c171]Antonio Ruiz, Jun Kong, Manuel Ujaldon, Kim L. Boyer, Joel H. Saltz, Metin N. Gurcan:
Pathological image segmentation for neuroblastoma using the GPU. ISBI 2008: 296-299 - [c170]Olcay Sertel, Jun Kong, Hiroyuki Shimada, Ümit V. Çatalyürek, Joel H. Saltz, Metin N. Gurcan:
Computer-aided prognosis of neuroblastoma: classification of stromal development on whole-slide images. Computer-Aided Diagnosis 2008: 69150P - [c169]Jun Kong, Olcay Sertel, Hiroyuki Shimada, Kim L. Boyer, Joel H. Saltz, Metin N. Gurcan:
A multi-resolution image analysis system for computer-assisted grading of neuroblastoma differentiation. Computer-Aided Diagnosis 2008: 69151T - [c168]Jeffrey W. Prescott, Dongqing Zhang, Jian Z. Wang, Nina A. Mayr, William T. C. Yuh, Joel H. Saltz, Metin N. Gurcan:
Cancer treatment outcome prediction by assessing temporal change: application to cervical cancer. Computer-Aided Diagnosis 2008: 69152X - [c167]Olcay Sertel, Jun Kong, Gerard Lozanski, Ümit V. Çatalyürek, Joel H. Saltz, Metin N. Gurcan:
Computerized microscopic image analysis of follicular lymphoma. Computer-Aided Diagnosis 2008: 691535 - [c166]Gaurav Khanna, Ümit V. Çatalyürek, Tahsin M. Kurç, Rajkumar Kettimuthu, P. Sadayappan, Ian T. Foster, Joel H. Saltz:
Using overlays for efficient data transfer over shared wide-area networks. SC 2008: 47 - [e1]Tony Solomonides, Jonathan C. Silverstein, Joel H. Saltz, Yannick Legré, Mary Kratz, Ian T. Foster, Vincent Breton, J. Robert Beck:
Global Healthgrid: e-Science Meets Biomedical Informatics - Proceedings of HealthGrid 2008, Chicago, IL, USA, 2-4 June, 2008. Studies in Health Technology and Informatics 138, IOS Press 2008, ISBN 978-1-58603-874-8 [contents] - 2007
- [j58]Brent Woods, Bradley D. Clymer, Johannes T. Heverhagen, Michael V. Knopp, Joel H. Saltz, Tahsin M. Kurç:
Parallel four-dimensional Haralick texture analysis for disk-resident image datasets. Concurr. Comput. Pract. Exp. 19(1): 65-87 (2007) - [j57]Richard Sharp, Randall Ridgway, Kishore Mosaliganti, Pamela Wenzel, Tony Pan, Alain de Bruin, Raghu Machiraju, Kun Huang, Gustavo Leone, Joel H. Saltz:
Volume Rendering Phenotype Differences in Mouse Placenta Microscopy Data. Comput. Sci. Eng. 9(1): 38-47 (2007) - [j56]Shannon Hastings, Scott Oster, Stephen Langella, David Ervin, Tahsin M. Kurç, Joel H. Saltz:
Introduce: An Open Source Toolkit for Rapid Development of Strongly Typed Grid Services. J. Grid Comput. 5(4): 407-427 (2007) - [j55]Metin N. Gurcan, Tony Pan, Ashish Sharma, Tahsin M. Kurç, Scott Oster, Stephen Langella, Shannon Hastings, Khan M. Siddiqui, Eliot L. Siegel, Joel H. Saltz:
GridIMAGE: A Novel Use of Grid Computing to Support Interactive Human and Computer-Assisted Detection Decision Support. J. Digit. Imaging 20(2): 160-171 (2007) - [j54]Henrique Andrade, Tahsin M. Kurç, Alan Sussman, Joel H. Saltz:
Active semantic caching to optimize multidimensional data analysis in parallel and distributed environments. Parallel Comput. 33(7-8): 497-520 (2007) - [j53]Kishore Mosaliganti, Firdaus Janoos, Richard Sharp, Randall Ridgway, Raghu Machiraju, Kun Huang, Pamela Wenzel, Alain de Bruin, Gustavo Leone, Joel H. Saltz:
Detection and Visualization of Surface-Pockets to Enable Phenotyping Studies. IEEE Trans. Medical Imaging 26(9): 1283-1290 (2007) - [c165]Metin N. Gurcan, Jun Kong, Olcay Sertel, Berkant Barla Cambazoglu, Joel H. Saltz, Ümit V. Çatalyürek:
Computerized Pathological Image Analysis For Neuroblastoma Prognosis. AMIA 2007 - [c164]Stephen Langella, Scott Oster, Shannon Hastings, Frank Siebenlist, Joshua Phillips, David Ervin, Justin Permar, Tahsin M. Kurç, Joel H. Saltz:
The Cancer Biomedical Informatics Grid (caBIG™) Security Infrastructure. AMIA 2007 - [c163]Scott Oster, Stephen Langella, Shannon Hastings, David Ervin, Ravi K. Madduri, Tahsin M. Kurç, Frank Siebenlist, Peter A. Covitz, Krishnakant Shanbhag, Ian T. Foster, Joel H. Saltz:
caGrid 1.0: A Grid Enterprise Architecture for Cancer Research. AMIA 2007 - [c162]Antonio Ruiz, Manuel Ujaldon, Jose Antonio Andrades, Jose Becerra, Kun Huang, Tony Pan, Joel H. Saltz:
The GPU on biomedical image processing for color and phenotype analysis. BIBE 2007: 1124-1128 - [c161]Antonio Ruiz, Olcay Sertel, Manuel Ujaldon, Ümit V. Çatalyürek, Joel H. Saltz, Metin N. Gurcan:
Pathological Image Analysis Using the GPU: Stroma Classification for Neuroblastoma. BIBM 2007: 78-88 - [c160]Tulio Tavares, George Teodoro, Tahsin M. Kurç, Renato Ferreira, Dorgival Olavo Guedes Neto, Wagner Meira Jr., Ümit V. Çatalyürek, Shannon Hastings, Scott Oster, Stephen Langella, Joel H. Saltz:
An Efficient and Reliable Scientific Workflow System. CCGRID 2007: 445-452 - [c159]Berkant Barla Cambazoglu, Olcay Sertel, Jun Kong, Joel H. Saltz, Metin N. Gurcan, Ümit V. Çatalyürek:
Efficient processing of pathological images using the grid: computer-aided prognosis of neuroblastoma. CLADE@HPDC 2007: 35-41 - [c158]Vijay S. Kumar, Tahsin M. Kurç, Jun Kong, Ümit V. Çatalyürek, Metin N. Gurcan, Joel H. Saltz:
Performance vs. accuracy trade-offs for large-scale image analysis applications. CLUSTER 2007: 100-109 - [c157]Nagavijayalakshmi Vydyanathan, Ümit V. Çatalyürek, Tahsin M. Kurç, P. Sadayappan, Joel H. Saltz:
Toward Optimizing Latency Under Throughput Constraints for Application Workflows on Clusters. Euro-Par 2007: 173-183 - [c156]Gaurav Khanna, Ümit V. Çatalyürek, Tahsin M. Kurç, P. Sadayappan, Joel H. Saltz:
Scheduling File Transfers for Data-Intensive Jobs on Heterogeneous Clusters. Euro-Par 2007: 214-223 - [c155]Li Weng, Ümit V. Çatalyürek, Tahsin M. Kurç, Gagan Agrawal, Joel H. Saltz:
Optimizing multiple queries on scientific datasets with partial replicas. GRID 2007: 259-266 - [c154]Tahsin M. Kurç, Xi Zhang, Manish Parashar, Hector Klie, Mary F. Wheeler, Ümit V. Çatalyürek, Joel H. Saltz:
Dynamic Data-Driven Systems Approach for Simulation Based Optimizations. International Conference on Computational Science (1) 2007: 1213-1221 - [c153]Jun Kong, Olcay Sertel, Hiroyuki Shimada, Kim L. Boyer, Joel H. Saltz, Metin N. Gurcan:
Computer-Aided Grading of Neuroblastic Differentiation: Multi-Resolution and Multi-Classifier Approach. ICIP (5) 2007: 525-528 - [c152]Bhupesh Bansal, Ümit V. Çatalyürek, Jacqueline Chame, Chun Chen, Ewa Deelman, Yolanda Gil, Mary W. Hall, Vijay S. Kumar, Tahsin M. Kurç, Kristina Lerman, Aiichiro Nakano, Yoon-Ju Lee Nelson, Joel H. Saltz, Ashish Sharma, Priya Vashishta:
Intelligent Optimization of Parallel and Distributed Applications. IPDPS 2007: 1-6 - [c151]Amol Ghoting, Gregory Buehrer, Matthew Goyder, Shirish Tatikonda, Xi Zhang, Srinivasan Parthasarathy, Tahsin M. Kurç, Joel H. Saltz:
Knowledge and Cache Conscious Algorithm Design and Systems Support for Data Mining Algorithms. IPDPS 2007: 1-6 - [c150]Jun Kong, Hiroyuki Shimada, Kim L. Boyer, Joel H. Saltz, Metin N. Gurcan:
Image Analysis for Automated Assessment of Grade of Neuroblastic Differentiation. ISBI 2007: 61-64 - [c149]Gregory Buehrer, Srinivasan Parthasarathy, Shirish Tatikonda, Tahsin M. Kurç, Joel H. Saltz:
Toward terabyte pattern mining: an architecture-conscious solution. PPoPP 2007: 2-12 - 2006
- [j52]Joel H. Saltz, Scott Oster, Shannon Hastings, Stephen Langella, Tahsin M. Kurç, William Sanchez, Manav Kher, Arumani Manisundaram, Krishnakant Shanbhag, Peter A. Covitz:
caGrid: design and implementation of the core architecture of the cancer biomedical informatics grid. Bioinform. 22(15): 1910-1916 (2006) - [j51]Hector Klie, Wolfgang Bangerth, X. Gai, Mary F. Wheeler, Paul L. Stoffa, Mrinal K. Sen, Manish Parashar, Ümit V. Çatalyürek, Joel H. Saltz, Tahsin M. Kurç:
Models, methods and middleware for grid-enabled multiphysics oil reservoir management. Eng. Comput. 22(3-4): 349-370 (2006) - [j50]Xi Zhang, Benjamin Rutt, Ümit V. Çatalyürek, Tahsin M. Kurç, Paul L. Stoffa, Mrinal K. Sen, Joel H. Saltz:
Supporting Scalable and Distributed Data Subsetting and Aggregation in Large-Scale Seismic Data Analysis. Int. J. High Perform. Comput. Appl. 20(3): 423-438 (2006) - [j49]Tahsin M. Kurç, Daniel Janies, Andrew D. Johnson, Stephen Langella, Scott Oster, Shannon Hastings, Farhat Habib, Terry Camerlengo, David Ervin, Ümit V. Çatalyürek, Joel H. Saltz:
Application of Information Technology: An XML-based System for Synthesis of Data from Disparate Databases. J. Am. Medical Informatics Assoc. 13(3): 289-301 (2006) - [c148]Jianhua Liu, Scott A. Silvey, Michael G. Bissell, Joel H. Saltz, Jyoti Kamal:
Prototype Integration of Protein Electrophoresis Laboratory Results In an Information Warehouse to Improve Workflow and Data Analysis. AMIA 2006 - [c147]Stephen Langella, Scott Oster, Shannon Hastings, Frank Siebenlist, Tahsin M. Kurç, Joel H. Saltz:
Dorian: Grid Service Infrastructure for Identity Management and Federation. CBMS 2006: 756-761 - [c146]Nagavijayalakshmi Vydyanathan, Sriram Krishnamoorthy, Gerald Sabin, Ümit V. Çatalyürek, Tahsin M. Kurç, P. Sadayappan, Joel H. Saltz:
Locality Conscious Processor Allocation and Scheduling for Mixed Parallel Applications. CLUSTER 2006 - [c145]Paulo F. U. Gotardo, Kim L. Boyer, Joel H. Saltz, Subha V. Raman:
A New Deformable Model for Boundary Tracking in Cardiac MRI and Its Application to the Detection of Intra-Ventricular Dyssynchrony. CVPR (1) 2006: 736-743 - [c144]Metin N. Gurcan, Tony Pan, Hiroyuki Shimada, Joel H. Saltz:
Image Analysis for Neuroblastoma Classification: Segmentation of Cell Nuclei. EMBC 2006: 4844-4847 - [c143]Ümit V. Çatalyürek, Sivaramakrishnan Narayanan, Olcay Sertel, Jun Kong, Berkant Barla Cambazoglu, Tony Pan, Ashish Sharma, Shannon Hastings, Stephen Langella, Scott Oster, Tahsin M. Kurç, Metin Nafi Gürcan, Joel H. Saltz:
Service-Based Access to and Processing of Large Scientific Datasets. High Performance Computing Workshop 2006: 345-362 - [c142]Gaurav Khanna, Nagavijayalakshmi Vydyanathan, Ümit V. Çatalyürek, Tahsin M. Kurç, Sriram Krishnamoorthy, P. Sadayappan, Joel H. Saltz:
Task Scheduling and File Replication for Data-Intensive Jobs with Batch-shared I/O. HPDC 2006: 241-252 - [c141]Manish Parashar, Vincent Matossian, Hector Klie, Sunil G. Thomas, Mary F. Wheeler, Tahsin M. Kurç, Joel H. Saltz, Roelof Versteeg:
Towards Dynamic Data-Driven Management of the Ruby Gulch Waste Repository. International Conference on Computational Science (3) 2006: 384-392 - [c140]Li Weng, Ümit V. Çatalyürek, Tahsin M. Kurç, Gagan Agrawal, Joel H. Saltz:
Using Space and Attribute Partitioned Partial Replicas for Data Subsetting and Aggregation Queries. ICPP 2006: 271-280 - [c139]Nagavijayalakshmi Vydyanathan, Sriram Krishnamoorthy, Gerald Sabin, Ümit V. Çatalyürek, Tahsin M. Kurç, P. Sadayappan, Joel H. Saltz:
An Integrated Approach for Processor Allocation and Scheduling of Mixed-Parallel Applications. ICPP 2006: 443-450 - [c138]Sivaramakrishnan Narayanan, Tahsin M. Kurç, Ümit V. Çatalyürek, Joel H. Saltz:
On Creating Efficient Object-relational Views of Scientific Datasets. ICPP 2006: 551-558 - [c137]Gregory Buehrer, Amol Ghoting, Xi Zhang, Shirish Tatikonda, Srinivasan Parthasarathy, Tahsin M. Kurç, Joel H. Saltz:
I/O conscious algorithm design and systems support for data analysis on emerging architectures. IPDPS 2006 - [c136]Xi Zhang, Tahsin M. Kurç, Joel H. Saltz, Srinivasan Parthasarathy:
Design and analysis of a multi-dimensional data sampling service for large scale data analysis applications. IPDPS 2006 - [c135]Kim L. Boyer, Paulo F. U. Gotardo, Joel H. Saltz, Subha V. Raman:
On the detection of intra-ventricular dyssynchrony in the left ventricle from routine cardiac MRI. ISBI 2006: 169-172 - [c134]Gaurav Khanna, Ümit V. Çatalyürek, Tahsin M. Kurç, P. Sadayappan, Joel H. Saltz:
A Data Locality Aware Online Scheduling Approach for I/O-Intensive Jobs with File Sharing. JSSPP 2006: 141-160 - [c133]Kishore Mosaliganti, Guang Jia, Johannes T. Heverhagen, Raghu Machiraju, Joel H. Saltz, Michael V. Knopp:
Preventing Signal Degradation During Elastic Matching of Noisy DCE-MR Eye Images. MICCAI (1) 2006: 832-839 - [c132]Kishore Mosaliganti, Tony Pan, Richard Sharp, Randall Ridgway, Srivathsan Iyengar, Alexandra Gulacy, Pamela Wenzel, Alain de Bruin, Raghu Machiraju, Kun Huang, Gustavo Leone, Joel H. Saltz:
Registration and 3D visualization of large microscopy images. Image Processing 2006: 61442V - [c131]George Teodoro, Tulio Tavares, Renato Ferreira, Tahsin M. Kurç, Wagner Meira Jr., Dorgival Olavo Guedes Neto, Tony Pan, Joel H. Saltz:
A Run-time System for Efficient Execution of Scientific Workflows on Distributed Environments. SBAC-PAD 2006: 81-90 - [c130]Vijay S. Kumar, Benjamin Rutt, Tahsin M. Kurç, Ümit V. Çatalyürek, Joel H. Saltz, Sunny K. Chow, Stephan Lamont, Maryann E. Martone:
Imaging and visual analysis - Large image correction and warping in a cluster environment. SC 2006: 79 - 2005
- [j48]Tahsin M. Kurç, Ümit V. Çatalyürek, Xi Zhang, Joel H. Saltz, Ryan Martino, Mary F. Wheeler, Malgorzata Peszynska, Alan Sussman, Christian Hansen, Mrinal K. Sen, Roustam Seifoullaev, Paul L. Stoffa, Carlos Torres-Verdín, Manish Parashar:
A simulation and data analysis system for large-scale, data-driven oil reservoir simulation studies. Concurr. Pract. Exp. 17(11): 1441-1467 (2005) - [j47]Manish Parashar, Hector Klie, Ümit V. Çatalyürek, Tahsin M. Kurç, Wolfgang Bangerth, Vincent Matossian, Joel H. Saltz, Mary F. Wheeler:
Application of Grid-enabled technologies for solving optimization problems in data-driven reservoir studies. Future Gener. Comput. Syst. 21(1): 19-26 (2005) - [j46]Manuel Ujaldon, Joel H. Saltz:
The GPU as an indirection engine for a fast information retrieval. Int. J. Electron. Bus. 3(3/4): 316-327 (2005) - [j45]Shannon Hastings, Scott Oster, Stephen Langella, Tahsin M. Kurç, Tony Pan, Ümit V. Çatalyürek, Joel H. Saltz:
Application of Information Technology: A Grid-Based Image Archival and Analysis System. J. Am. Medical Informatics Assoc. 12(3): 286-295 (2005) - [j44]Shannon Hastings, Matheus Ribeiro, Stephen Langella, Scott Oster, Ümit V. Çatalyürek, Tony Pan, Kun Huang, Renato Ferreira, Joel H. Saltz, Tahsin M. Kurç:
XML database support for distributed execution of data-intensive scientific workflows. SIGMOD Rec. 34(3): 50-55 (2005) - [c129]Manuel Ujaldon, Joel H. Saltz:
The GPU on irregular computing: performance issues and contributions. CAD/Graphics 2005: 7 - [c128]Li Weng, Ümit V. Çatalyürek, Tahsin M. Kurç, Gagan Agrawal, Joel H. Saltz:
Servicing range queries on multidimensional datasets with partial replicas. CCGRID 2005: 726-733 - [c127]Gaurav Khanna, Nagavijayalakshmi Vydyanathan, Tahsin M. Kurç, Ümit V. Çatalyürek, Pete Wyckoff, Joel H. Saltz, P. Sadayappan:
A hypergraph partitioning based approach for scheduling of tasks with batch-shared I/O. CCGRID 2005: 792-799 - [c126]Benjamin Rutt, Vijay S. Kumar, Tony Pan, Tahsin M. Kurç, Ümit V. Çatalyürek, Joel H. Saltz, Yujun Wang:
Distributed Out-of-Core Preprocessing of Very Large Microscopy Images for Efficient Querying. CLUSTER 2005: 1-10 - [c125]Sivaramakrishnan Narayanan, Tahsin M. Kurç, Ümit V. Çatalyürek, Joel H. Saltz:
Servicing Seismic and Oil Reservoir Simulation Data Through Grid Data Services. DMG 2005: 129-142 - [c124]Manish Parashar, Vincent Matossian, Wolfgang Bangerth, Hector Klie, Benjamin Rutt, Tahsin M. Kurç, Ümit V. Çatalyürek, Joel H. Saltz, Mary F. Wheeler:
Towards Dynamic Data-Driven Optimization of Oil Well Placement. International Conference on Computational Science (2) 2005: 656-663 - [c123]Huai Wang, Srinivasan Parthasarathy, Amol Ghoting, Shirish Tatikonda, Gregory Buehrer, Tahsin M. Kurç, Joel H. Saltz:
Design of a next generation sampling service for large scale data analysis applications. ICS 2005: 91-100 - [c122]Huai Wang, Amol Ghoting, Gregory Buehrer, Shirish Tatikonda, Srinivasan Parthasarathy, Tahsin M. Kurç, Joel H. Saltz:
A Services Oriented Framework for Next Generation Data Analysis Centers. IPDPS 2005 - [c121]Ümit V. Çatalyürek, Shannon Hastings, Kun Huang, Vijay S. Kumar, Tahsin M. Kurç, Stephen Langella, Sivaramakrishnan Narayanan, Scott Oster, Tony Pan, Benjamin Rutt, Xi Zhang, Joel H. Saltz:
Supporting Large Scale Medical and Scientific Datasets. PARCO 2005: 3-14 - [c120]Manuel Ujaldon, Joel H. Saltz:
Exploiting Parallelism on Irregular Applications Using the GPU. PARCO 2005: 639-646 - [c119]Shannon Hastings, Stephen Langella, Scott Oster, Tahsin M. Kurç, Tony Pan, Ümit V. Çatalyürek, Daniel Janies, Joel H. Saltz:
Grid-based management of biomedical data using an XML-based distributed data management system. SAC 2005: 105-109 - 2004
- [j43]Henrique Andrade, Tahsin M. Kurç, Alan Sussman, Joel H. Saltz:
Optimizing the Execution of Multiple Data Analysis Queries on Parallel and Distributed Environments. IEEE Trans. Parallel Distributed Syst. 15(6): 520-532 (2004) - [c118]Xi Zhang, Tony Pan, Ümit V. Çatalyürek, Tahsin M. Kurç, Joel H. Saltz:
Serving queries to multi-resolution datasets on disk-based storage clusters. CCGRID 2004: 490-498 - [c117]Stephen Langella, Shannon Hastings, Scott Oster, Tahsin M. Kurç, Ümit V. Çatalyürek, Joel H. Saltz:
A distributed data management middleware for data-driven application systems. CLUSTER 2004: 267-276 - [c116]Catalin C. Barbacioru, Daniel J. Cowden, Joel H. Saltz:
An Algorithm for Reconstruction of Markov Blankets in Bayesian Networks of Gene Expression Datasets. CSB 2004: 628-629 - [c115]Nagavijayalakshmi Vydyanathan, Gaurav Khanna, Tahsin M. Kurç, Ümit V. Çatalyürek, Pete Wyckoff, Joel H. Saltz, P. Sadayappan:
Use of PVFS for Efficient Execution of Jobs with Pipeline-Shared I/O. GRID 2004: 235-242 - [c114]Matheus Ribeiro, Tahsin M. Kurç, Tony Pan, Kun Huang, Ümit V. Çatalyürek, Xi Zhang, Stephen Langella, Shannon Hastings, Scott Oster, Renato Ferreira, Joel H. Saltz:
Tools for efficient subsetting and pipelined processing of large scale, distributed biomedical image data. High Performance Computing Workshop 2004: 403-422 - [c113]Xi Zhang, Tahsin M. Kurç, Tony Pan, Ümit V. Çatalyürek, Sivaramakrishnan Narayanan, Pete Wyckoff, Joel H. Saltz:
Strategies for Using Additional Resources in Parallel Hash-Based Join Algorithms. HPDC 2004: 4-13 - [c112]Li Weng, Gagan Agrawal, Ümit V. Çatalyürek, Tahsin M. Kurç, Sivaramakrishnan Narayanan, Joel H. Saltz:
An Approach for Automatic Data Virtualization. HPDC 2004: 24-33 - [c111]Manish Parashar, Hector Klie, Ümit V. Çatalyürek, Tahsin M. Kurç, Vincent Matossian, Joel H. Saltz, Mary F. Wheeler:
Application of Grid-Enabled Technologies for Solving Optimization Problems in Data-Driven Reservoir Studies. International Conference on Computational Science 2004: 805-812 - [c110]Li Weng, Gagan Agrawal, Ümit V. Çatalyürek, Joel H. Saltz:
Supporting SQL-3 Aggregations on Grid-Based Data Repositories. LCPC 2004: 283-298 - [c109]Brent Woods, Bradley D. Clymer, Joel H. Saltz, Tahsin M. Kurç:
A Parallel Implementation of 4-Dimensional Haralick Texture Analysis for Disk-Resident Image Datasets. SC 2004: 48 - 2003
- [j42]Yuan-Shin Hwang, Joel H. Saltz:
Identifying parallelism in programs with cyclic graphs. J. Parallel Distributed Comput. 63(3): 337-355 (2003) - [j41]Sivaramakrishnan Narayanan, Tahsin M. Kurç, Ümit V. Çatalyürek, Joel H. Saltz:
Database Support for Data-Driven Scientific Applications in the Grid. Parallel Process. Lett. 13(2): 245-271 (2003) - [j40]Yuan-Shin Hwang, Joel H. Saltz:
Interprocedural definition-use chains of dynamic pointer-linked data structures. Sci. Program. 11(1): 3-37 (2003) - [j39]Ümit V. Çatalyürek, Michael D. Beynon, Chialin Chang, Tahsin M. Kurç, Alan Sussman, Joel H. Saltz:
The virtual microscope. IEEE Trans. Inf. Technol. Biomed. 7(4): 230-248 (2003) - [c108]Catalin C. Barbacioru, Anand Arunachalam, Daniel J. Cowden, Eiad B. Kahwash, Joel H. Saltz:
Pharmacokinetic Mapping of Breast Tumors: a New Statistical Analysis Technique for Dynamic magnetic resonance Imaging. AMIA 2003 - [c107]Daniel J. Cowden, Catalin C. Barbacioru, Eiad B. Kahwash, Joel H. Saltz:
Order Sets Utilization in a Clinical Order Entry System. AMIA 2003 - [c106]Eiad B. Kahwash, Catalin C. Barbacioru, Daniel J. Cowden, Joel H. Saltz:
Proteomic Pattern Analysis, a New Era of Screening Cancers. AMIA 2003 - [c105]Jyoti Kamal, Patrick Rogers, Joel H. Saltz, Hagop S. Mekhjian:
Information Warehouse as a Tool to Analyze Computerized Physician Order Entry Order Set Utilization: Opportunities for Improvement. AMIA 2003 - [c104]Hagop S. Mekhjian, Joel H. Saltz, Patrick Rogers, Jyoti Kamal:
Impact of CPOE Order Sets on Lab Orders. AMIA 2003 - [c103]Shannon Hastings, Tahsin M. Kurç, Stephen Langella, Ümit V. Çatalyürek, Tony Pan, Joel H. Saltz:
Image Processing or the Grid: A Toolkit or Building Grid-enabled Image Processing Applications. CCGRID 2003: 36-43 - [c102]Radhakrishnan Sundaresan, Tahsin M. Kurç, Mario Lauria, Srinivasan Parthasarathy, Joel H. Saltz:
A Slacker Coherence rotocol for Pull-based Monitoring of On-line Data Source. CCGRID 2003: 250-257 - [c101]Sivaramakrishnan Narayanan, Ümit V. Çatalyürek, Tahsin M. Kurç, Xi Zhang, Joel H. Saltz:
Applying Database Support for Large Scale Data Driven Science in Distributed Environments. GRID 2003: 141-148 - [c100]Pavan Balaji, Jiesheng Wu, Tahsin M. Kurç, Ümit V. Çatalyürek, Dhabaleswar K. Panda, Joel H. Saltz:
Impact of High Performance Sockets on Data Intensive Applications. HPDC 2003: 24-33 - [c99]Radhakrishnan Sundaresan, Mario Lauria, Tahsin M. Kurç, Srinivasan Parthasarathy, Joel H. Saltz:
Adaptive Polling of Grid Resource Monitors Using a Slacker Coherence Model. HPDC 2003: 260-269 - [c98]Joel H. Saltz, Ümit V. Çatalyürek, Tahsin M. Kurç, Mike Gray, Shannon Hastings, Stephen Langella, Sivaramakrishnan Narayanan, Ryan Martino, Steven Bryant, Malgorzata Peszynska, Mary F. Wheeler, Alan Sussman, Michael D. Beynon, Christian Hansen, Don Stredney, Dennis Sessanna:
Driving Scientific Applications by Data in Distributed Environments. International Conference on Computational Science 2003: 355-364 - [c97]Henrique Andrade, Tahsin M. Kurç, Alan Sussman, Joel H. Saltz:
Exploiting Functional Decomposition for Efficient Parallel Processing of Multiple Data Analysis Queries. IPDPS 2003: 81 - [c96]Henrique Andrade, Suresh Aryangat, Tahsin M. Kurç, Joel H. Saltz, Alan Sussman:
Efficient Execution of Multi-query Data Analysis Batches Using Compiler Optimization Strategies. LCPC 2003: 509-524 - [c95]Joel H. Saltz:
Middleware Infrastructure for Large-Scale Data Management. IEEE Symposium on Parallel and Large-Data Visualization and Graphics 2003 - [c94]Ümit V. Çatalyürek, Mike Gray, Tahsin M. Kurç, Joel H. Saltz, Eric Stahlberg, Renato Ferreira:
A Component-based Implementation of Multiple Sequence Alignment. SAC 2003: 122-126 - [c93]Tahsin M. Kurç, Feng Lee, Gagan Agrawal, Ümit V. Çatalyürek, Renato Ferreira, Joel H. Saltz:
Optimizing Reduction Computations In a Distributed Environment. SC 2003: 9 - 2002
- [j38]Michael D. Beynon, Tahsin M. Kurç, Alan Sussman, Joel H. Saltz:
Optimizing execution of component-based applications using group instances. Future Gener. Comput. Syst. 18(4): 435-448 (2002) - [j37]Renato Ferreira, Gagan Agrawal, Joel H. Saltz:
Data parallel language and compiler support for data intensive applications. Parallel Comput. 28(5): 725-748 (2002) - [j36]Michael D. Beynon, Chialin Chang, Ümit V. Çatalyürek, Tahsin M. Kurç, Alan Sussman, Henrique Andrade, Renato Ferreira, Joel H. Saltz:
Processing large-scale multi-dimensional data in parallel and distributed environments. Parallel Comput. 28(5): 827-859 (2002) - [c92]Henrique Andrade, Tahsin M. Kurç, Alan Sussman, Joel H. Saltz:
Multiple Query Optimization for Data Analysis Applications on Clusters of SMPs. CCGRID 2002: 154-162 - [c91]Michael D. Beynon, Henrique Andrade, Joel H. Saltz:
Low-Cost Non-Intrusive Debugging Strategies for Distributed Parallel Programs. CLUSTER 2002: 439-442 - [c90]Renato Ferreira, Gagan Agrawal, Joel H. Saltz:
Compiler supported high-level abstractions for sparse disk-resident datasets. ICS 2002: 241-251 - [c89]Henrique Andrade, Tahsin M. Kurç, Alan Sussman, Joel H. Saltz:
Scheduling Multiple Data Visualization Query Workloads on a Shared Memory Machine. IPDPS 2002 - [c88]Michael D. Beynon, Tahsin M. Kurç, Ümit V. Çatalyürek, Alan Sussman, Joel H. Saltz:
Efficient Manipulation of Large Datasets on Heterogeneous Storage Systems. IPDPS 2002 - [c87]Ümit V. Çatalyürek, Eric Stahlberg, Renato Ferreira, Tahsin M. Kurç, Joel H. Saltz:
Improving Performance of Multiple Sequence Alignment Analysis in Multi-Client Environments. IPDPS 2002 - [c86]Henrique Andrade, Tahsin M. Kurç, Alan Sussman, Joel H. Saltz:
Active Proxy-G: optimizing the query execution process in the grid. SC 2002: 46:1-46:15 - [c85]Matthew Spencer, Renato Ferreira, Michael D. Beynon, Tahsin M. Kurç, Ümit V. Çatalyürek, Alan Sussman, Joel H. Saltz:
Executing multiple pipelined data analysis operations in the grid. SC 2002: 66:1-66:18 - 2001
- [j35]Tahsin M. Kurç, Ümit V. Çatalyürek, Chialin Chang, Alan Sussman, Joel H. Saltz:
Visualization of Large Data Sets with the Active Data Repository. IEEE Computer Graphics and Applications 21(4): 24-33 (2001) - [j34]Michael D. Beynon, Tahsin M. Kurç, Ümit V. Çatalyürek, Chialin Chang, Alan Sussman, Joel H. Saltz:
Distributed processing of very large datasets with DataCutter. Parallel Comput. 27(11): 1457-1478 (2001) - [j33]Bongki Moon, H. V. Jagadish, Christos Faloutsos, Joel H. Saltz:
Analysis of the Clustering Properties of the Hilbert Space-Filling Curve. IEEE Trans. Knowl. Data Eng. 13(1): 124-141 (2001) - [c84]Renato Ferreira, Joel H. Saltz, Gagan Agrawal:
Compiler and Runtime Analysis for Efficient Communication in Data Intensive Applications. IEEE PACT 2001: 231-242 - [c83]Michael D. Beynon, Alan Sussman, Tahsin M. Kurç, Joel H. Saltz:
Optimizing Execution of Component-based Applications using Group Instances. CCGRID 2001: 56-65 - [c82]Raja Das, Yuan-Shin Hwang, Joel H. Saltz, Alan Sussman:
Runtime and Compiler Support for Irregular Computations. Compiler Optimizations for Scalable Parallel Systems Languages 2001: 751-778 - [c81]Michael D. Beynon, Alan Sussman, Ümit V. Çatalyürek, Tahsin M. Kurç, Joel H. Saltz:
Performance Optimization for Data Intensive Grid Applications. Active Middleware Services 2001: 97-105 - [c80]Chialin Chang, Tahsin M. Kurç, Alan Sussman, Ümit V. Çatalyürek, Joel H. Saltz:
A Hypergraph-Based Workload Partitioning Strategy for Parallel Data Aggregation. PP 2001 - [c79]Henrique Andrade, Tahsin M. Kurç, Alan Sussman, Joel H. Saltz:
Efficient execution of multiple query workloads in data analysis applications. SC 2001: 53 - 2000
- [j32]Tahsin M. Kurç, Mustafa Uysal, Hyeonsang Eom, Jeffrey K. Hollingsworth, Joel H. Saltz, Alan Sussman:
Efficient Performance Prediction for Large-Scale, Data-Intensive Applications. Int. J. High Perform. Comput. Appl. 14(3): 216-227 (2000) - [c78]Michael D. Beynon, Tahsin M. Kurç, Alan Sussman, Joel H. Saltz:
Design of a Framework for Data-Intensive Wide-Area Applications. Heterogeneous Computing Workshop 2000: 116-130 - [c77]Mustafa Uysal, Anurag Acharya, Joel H. Saltz:
Evaluation of Active Disks for Decision Support Databases. HPCA 2000: 337-348 - [c76]Yuan-Shin Hwang, Joel H. Saltz:
Identifying Parallelism in Programs with Cyclic Graphs. ICPP 2000: 201-208 - [c75]Renato Ferreira, Gagan Agrawal, Joel H. Saltz:
Compiling object-oriented data intensive applications. ICS 2000: 11-21 - [c74]Chialin Chang, Tahsin M. Kurç, Alan Sussman, Joel H. Saltz:
Optimizing Retrieval and Processing of Multi-Dimensional Scientific Datasets. IPDPS 2000: 405-410 - [c73]Renato Ferreira, Gagan Agrawal, Ruoming Jin, Joel H. Saltz:
Compiling Data Intensive Applications with Spatial Coordinates. LCPC 2000: 339-354 - [c72]Gagan Agrawal, Renato Ferreira, Ruoming Jin, Joel H. Saltz:
High Level Programming Methodologies for Data Intensive Computations. LCR 2000: 32-43 - [c71]Michael D. Beynon, Renato Ferreira, Tahsin M. Kurç, Alan Sussman, Joel H. Saltz:
DataCutter: Middleware for Filtering Very Large Scientific Datasets on Archival Storage Systems. IEEE Symposium on Mass Storage Systems 2000: 119-134 - [c70]Henrique Andrade, Joel H. Saltz:
Query Optimization in KESS - An Ontology-Based KBMS. SBBD 2000: 35-48
1990 – 1999
- 1999
- [j31]Renato Ferreira, Tahsin M. Kurç, Michael D. Beynon, Chialin Chang, Alan Sussman, Joel H. Saltz:
Object-Relational Queries into Multidimensional Databases with the Active Data Repository. Parallel Process. Lett. 9(2): 173-195 (1999) - [c69]Tahsin M. Kurç, Michael D. Beynon, Chialin Chang, Renato Ferreira, Ben Bederson, Joel H. Saltz, Alan Sussman:
A High-Performance Database System for Managing Large Multi-resolution Medical Images. AMIA 1999 - [c68]Michael D. Beynon, Alan Sussman, Joel H. Saltz:
Performance impact of proxies in data intensive client-server applications. International Conference on Supercomputing 1999: 383-390 - [c67]Chialin Chang, Renato Ferreira, Alan Sussman, Joel H. Saltz:
Infrastructure for Building Parallel Database Systems for Multi-Dimensional Data. IPPS/SPDP 1999: 582-587 - [c66]Renato Ferreira, Alan Sussman, Joel H. Saltz:
Database Methods for Efficient Manipulation of Very Large Datasets. PDPTA 1999: 460-466 - [c65]Tahsin M. Kurç, Alan Sussman, Joel H. Saltz:
Coupling Multiple Simulations via a High Performance Customizable Database System. PP 1999 - [c64]Henrique Andrade, Joel H. Saltz:
Towards a Knowledge Base Management System (KBMS): An Ontology-Aware Database Management System (DBMS). SBBD 1999: 27-39 - [c63]Tahsin M. Kurç, Chialin Chang, Renato Ferreira, Alan Sussman, Joel H. Saltz:
Querying Very Large Multi-dimensional Datasets in ADR. SC 1999: 12 - [c62]Felipe Cariño, William O'Connell, John G. Burgess, Joel H. Saltz:
Active Storage Hierarchy, Database Systems and Applications - Socratic Exegesis. VLDB 1999: 611-614 - 1998
- [j30]Joel H. Saltz, Alan Sussman, Susan L. Graham, James Demmel, Scott B. Baden, Jack J. Dongarra:
Programming Tools and Environments. Commun. ACM 41(11): 64-73 (1998) - [j29]Carter Shock, Chialin Chang, Bongki Moon, Anurag Acharya, Larry S. Davis, Joel H. Saltz, Alan Sussman:
The Design and Evaluation of a High-Performance Earth Science Database. Parallel Comput. 24(1): 65-89 (1998) - [j28]Chialin Chang, Anurag Acharya, Alan Sussman, Joel H. Saltz:
T2: A Customizable Parallel Database for Multi-Dimensional Data. SIGMOD Rec. 27(1): 58-66 (1998) - [j27]Bongki Moon, Joel H. Saltz:
Scalability Analysis of Declustering Methods for Multidimensional Range Queries. IEEE Trans. Knowl. Data Eng. 10(2): 310-327 (1998) - [c61]Asmara Afework, Michael D. Beynon, Fabian E. Bustamante, Soon Cho, Angelo Demarzo, Renato Ferreira, Robert Miller, Mark Silberman, Joel H. Saltz, Alan Sussman, Hubert Tsang:
Digital dynamic telepathology-the Virtual Microscope. AMIA 1998 - [c60]Kilian Stoffel, John D. Davis, Gerald Rottman, Joel H. Saltz, James Dick, William Merz, Robert Miller:
A graphical tool for ad hoc query generation. AMIA 1998 - [c59]Anurag Acharya, Mustafa Uysal, Joel H. Saltz:
Active Disks: Programming Model, Algorithms and Evaluation. ASPLOS 1998: 81-91 - [c58]M. Ranganathan, Anurag Acharya, Joel H. Saltz:
Adapting to Bandwidth Variations in Wide-Area Data Combination. ICDCS 1998: 498-515 - [c57]Mustafa Uysal, Tahsin M. Kurç, Alan Sussman, Joel H. Saltz:
A Performance Prediction Framework for Data Intensive Applications on Large Scale Parallel Machines. LCR 1998: 243-258 - 1997
- [j26]Joel H. Saltz, Gagan Agrawal, Chialin Chang, Raja Das, Guy Edjlali, Paul Havlak, Yuan-Shin Hwang, Bongki Moon, Ravi Ponnusamy, Shamik D. Sharma, Alan Sussman, Mustafa Uysal:
Programming Irregular Applications: Runtime Support, Compilation and Tools. Adv. Comput. 45: 105-153 (1997) - [j25]Anurag Acharya, M. Ranganathan, Joel H. Saltz:
Resource-aware metacomputing. Concurr. Pract. Exp. 9(6): 649-674 (1997) - [j24]Gagan Agrawal, Joel H. Saltz:
Interprocedural Data Flow Based Optimizations for Distributed Memory Compilation. Softw. Pract. Exp. 27(5): 519-545 (1997) - [c56]Renato Ferreira, Bongki Moon, Jim Humphries, Alan Sussman, Joel H. Saltz, Robert Miller, Angelo Demarzo:
The Virtual Microscope. AMIA 1997 - [c55]Kilian Stoffel, Joel H. Saltz, Jim Hendler, James Dick, William Merz, Robert Miller:
Semantic Indexing for Complex Patient Grouping. AMIA 1997 - [c54]Chialin Chang, Bongki Moon, Anurag Acharya, Carter Shock, Alan Sussman, Joel H. Saltz:
Titan: A High-Performance Remote Sensing Database. ICDE 1997: 375-384 - [c53]Mustafa Uysal, Anurag Acharya, Robert Bennett, Joel H. Saltz:
A Customizable Simulator for Workstation Networks. IPPS 1997: 249- - [c52]Guy Edjlali, Alan Sussman, Joel H. Saltz:
Interoperability of Data Parallel Runtime Libraries. IPPS 1997: 451-459 - [c51]Yuan-Shin Hwang, Joel H. Saltz:
Identifying DEF/USE Information of Statements that Construct and Traverse Dynamic Recursive Data Structures. LCPC 1997: 131-145 - [c50]Chialin Chang, Alan Sussman, Joel H. Saltz:
Scheduling in a High Performance Remote-Sensing Data Server. PP 1997 - [c49]Manuel Ujaldon, Shamik D. Sharma, Joel H. Saltz:
Page Replacement Using Marginal Loss Functions. SC 1997: 50 - [c48]Anurag Acharya, Guy Edjlali, Joel H. Saltz:
The Utility of Exploiting Idle Workstations for Parallel Computation. SIGMETRICS 1997: 225-236 - [p1]Kilian Stoffel, James A. Hendler, Joel H. Saltz:
Parka on MIMD-supercomputers. Parallel Processing for Artificial Intelligence 3 1997: 95-118 - 1996
- [j23]Manuel Ujaldon, Emilio L. Zapata, Shamik D. Sharma, Joel H. Saltz:
Parallelization Techniques for Sparse Matrix Applications. J. Parallel Distributed Comput. 38(2): 256-266 (1996) - [c47]Carter Shock, Chialin Chang, Larry S. Davis, Samuel Goward, Joel H. Saltz, Alan Sussman:
A High Performance Image Database System for Remotely Sensed Imagery. Euro-Par, Vol. II 1996: 109-122 - [c46]Manuel Ujaldon, Shamik D. Sharma, Emilio L. Zapata, Joel H. Saltz:
Experimental Evaluation of Efficient Sparse Matrix Distributions. International Conference on Supercomputing 1996: 78-85 - [c45]M. Ranganathan, Anurag Acharya, Guy Edjlali, Alan Sussman, Joel H. Saltz:
Runtime Coupling of Data-Parallel Programs. International Conference on Supercomputing 1996: 229-236 - [c44]Gagan Agrawal, Anurag Acharya, Joel H. Saltz:
An Interprocedural Framework for Placement of Asynchronous I/O Operations. International Conference on Supercomputing 1996: 358-365 - [c43]Anurag Acharya, Mustafa Uysal, Robert Bennett, Assaf Mendelson, Michael D. Beynon, Jeffrey K. Hollingsworth, Joel H. Saltz, Alan Sussman:
Tuning the Performance of I/O-Intensive Parallel Applications. IOPADS 1996: 15-27 - [c42]Bongki Moon, Anurag Acharya, Joel H. Saltz:
Study of Scalable Declustering Algorithms for Parallel Grid Files. IPPS 1996: 434-440 - [c41]Yuan-Shin Hwang, Joel H. Saltz:
Side Effect Analysis on User-Defined Reduction Functions with Dynamic Pointer-Linked Data Structures. LCPC 1996: 594-596 - [c40]Anurag Acharya, M. Ranganathan, Joel H. Saltz:
Sumatra: A Language for Resource-Aware Mobile Programs. Mobile Object Systems 1996: 111-130 - [c39]Anurag Acharya, Joel H. Saltz:
Dynamic Linking for Mobile Programs. Mobile Object Systems 1996: 245-262 - 1995
- [j22]Ravi Ponnusamy, Yuan-Shin Hwang, Raja Das, Joel H. Saltz, Alok N. Choudhary, Geoffrey C. Fox:
Supporting irregular distributions using data-parallel languages. IEEE Parallel Distributed Technol. Syst. Appl. 3(1): 12-24 (1995) - [j21]Frederic T. Chong, Shamik D. Sharma, Eric A. Brewer, Joel H. Saltz:
Multiprocessor Runtime Support for Fine-Grained, Irregular Dags. Parallel Process. Lett. 5: 671-683 (1995) - [j20]Matthew Rosing, Joel H. Saltz:
Low Latency Messages on Distributed Memory Multiprocessors. Sci. Program. 4(1): 35-43 (1995) - [j19]Yuan-Shin Hwang, Bongki Moon, Shamik D. Sharma, Ravi Ponnusamy, Raja Das, Joel H. Saltz:
Runtime and Language Support for Compiling Adaptive Irregular Programs on Distributed-memory Machines. Softw. Pract. Exp. 25(6): 597-621 (1995) - [j18]Janet Wu, Raja Das, Joel H. Saltz, Harry Berryman, Seema Hiranandani:
Distributed Memory Compiler Design for Sparse Problems. IEEE Trans. Computers 44(6): 737-754 (1995) - [j17]Dimitri J. Mavriplis, Raja Das, Joel H. Saltz, R. E. Vermeland:
Implementation of a parallel unstructured Euler solver on shared- and distributed-memory architectures. J. Supercomput. 8(4): 329-344 (1995) - [j16]Gagan Agrawal, Alan Sussman, Joel H. Saltz:
An Integrated Runtime and Compile-Time Approach for Parallelizing Structured and Block Structured Applications. IEEE Trans. Parallel Distributed Syst. 6(7): 747-754 (1995) - [j15]Ravi Ponnusamy, Joel H. Saltz, Alok N. Choudhary, Yuan-Shin Hwang, Geoffrey C. Fox:
Runtime Support and Compilation Methods for User-Specified Irregular Data Distributions. IEEE Trans. Parallel Distributed Syst. 6(8): 815-831 (1995) - [c38]Bongki Moon, Mustafa Uysal, Joel H. Saltz:
Index translation schemes for adaptive computations on distributed memory multicomputers. IPPS 1995: 812-819 - [c37]Guy Edjlali, Gagan Agrawal, Alan Sussman, Joel H. Saltz:
Data parallel programming in an adaptive environment. IPPS 1995: 827-832 - [c36]Manuel Ujaldon, Shamik D. Sharma, Joel H. Saltz, Emilio L. Zapata:
Run-Time Techniques for Parallelizing Sparse Matrix Problems. IRREGULAR 1995: 43-57 - [c35]Gagan Agrawal, Joel H. Saltz:
Interprocedural Data Flow Based Optimizations for Compilation of Irregular Problems. LCPC 1995: 465-479 - [c34]Gagan Agrawal, Guy Edjlali, Alan Sussman, Jim Humphries, Joel H. Saltz:
Runtime Support for Programming in Adaptive Parallel Environments. LCR 1995: 241-252 - [c33]Gagan Agrawal, Joel H. Saltz, Raja Das:
Interprocedural Partial Redundancy Elimination and its Application to Distributed Memory Compilation. PLDI 1995: 258-269 - [c32]Shubhendu S. Mukherjee, Shamik D. Sharma, Mark D. Hill, James R. Larus, Anne Rogers, Joel H. Saltz:
Efficient Support for Irregular Applications on Distributed-Memory Machines. PPoPP 1995: 68-79 - [c31]Bongki Moon, Gopal Patnaik, Robert Bennett, David Fyfe, Alan Sussman, Craig Douglas, Joel H. Saltz, K. Kailasanath:
Runtime Support Dynamic Load Balancing Strategies for Structured Adaptive Applications. PP 1995: 575-580 - [c30]Gagan Agrawal, Joel H. Saltz:
Interprocedural Compilation of Irregular Applications for Distributed Memory Machines. SC 1995: 48 - [c29]Raja Das, Paul Havlak, Joel H. Saltz, Ken Kennedy:
Index Array Flattening Through Program Transformation. SC 1995: 70 - 1994
- [j14]Raja Das, Mustafa Uysal, Joel H. Saltz, Yuan-Shin Hwang:
Communication Optimizations for Irregular Scientific Computations on Distributed Memory Architectures. J. Parallel Distributed Comput. 22(3): 462-478 (1994) - [c28]Reinhard von Hanxleden, Ken Kennedy, Joel H. Saltz:
Value-Based Distributions in Fortran D. HPCN 1994: 434-440 - [c27]Rahul Parulekar, Larry S. Davis, Rama Chellappa, Joel H. Saltz, Alan Sussman, John Townshend:
High performance computing for land cover dynamics. ICPR (3) 1994: 234-238 - [c26]Gagan Agrawal, Joel H. Saltz:
Interprocedural Communication Optimizations for Distributed Memory Compilation. LCPC 1994: 283-299 - [c25]Shamik D. Sharma, Ravi Ponnusamy, Bongki Moon, Yuan-Shin Hwang, Raja Das, Joel H. Saltz:
Run-time and compile-time support for adaptive irregular problems. SC 1994: 97-106 - 1993
- [c24]Raja Das, Joel H. Saltz, Reinhard von Hanxleden:
Slicing Analysis and Indirect Accesses to Distributed Arrays. LCPC 1993: 152-168 - [c23]Raja Das, Joel H. Saltz:
Parallelizing Molecular Dynamics Codes using the Parti Software Primitives. PPSC 1993: 187-192 - [c22]Ravi Ponnusamy, Joel H. Saltz, Alok N. Choudhary:
Runtime compilation techniques for data partitioning and communication schedule reuse. SC 1993: 361-370 - [c21]Gagan Agrawal, Alan Sussman, Joel H. Saltz:
Compiler and runtime support for structured and block structured applications. SC 1993: 578-587 - [c20]Geoffrey C. Fox, Sanjay Ranka, Michael L. Scott, Allen D. Malony, James C. Browne, Marina C. Chen, Alok N. Choudhary, Thomas E. Cheatham, Janice E. Cuny, Rudolf Eigenmann, Amr F. Fahmy, Ian T. Foster, Dennis Gannon, Tomasz Haupt, Carl Kesselman, Charles Koelbel, Wei Li, Monica S. Lam, Thomas J. LeBlanc, Jim Openshaw, David A. Padua, Constantine D. Polychronopoulos, Joel H. Saltz, Alan Sussman, Gil Weigand, Katherine A. Yelick:
Common runtime support for high-performance parallel languages. SC 1993: 752-757 - 1992
- [c19]Craig M. Chase, Kay Crowley, Joel H. Saltz, Anthony P. Reeves:
Compiler and runtime support for irregularly coupled regular meshes. ICS 1992: 438-446 - [c18]Reinhard von Hanxleden, Ken Kennedy, Charles Koelbel, Raja Das, Joel H. Saltz:
Compiler Analysis for Irregular Problems in Fortran D. LCPC 1992: 97-111 - [c17]Sesh Venugopal, Vijay K. Naik, Joel H. Saltz:
Performance of Distributed Sparse Cholesky Factorization with Pre-Scheduling. SC 1992: 52-61 - [c16]Dimitri J. Mavriplis, Raja Das, R. E. Vermeland, Joel H. Saltz:
Implementation of a Parallel Unstructured Euler Solver on Shared and Distributed Memory Architectures. SC 1992: 132-141 - [c15]Ravi Ponnusamy, Joel H. Saltz, Raja Das, Charles Koelbel, Alok N. Choudhary:
Embedding Data Mappers with Distributed Memory Machine Compilers. SIGPLAN Workshop 1992: 52-55 - 1991
- [j13]Harry Berryman, Joel H. Saltz, Jeffrey S. Scroggs:
Execution time support for adaptive scientific algorithms on distributed memory machines. Concurr. Pract. Exp. 3(3): 159-178 (1991) - [j12]Joel H. Saltz, Harry Berryman, Janet Wu:
Multiprocessors and run-time compilation. Concurr. Pract. Exp. 3(6): 573-592 (1991) - [j11]Seema Hiranandani, Joel H. Saltz, Piyush Mehrotra, Harry Berryman:
Performance of Hashed Cache Data Migration Schemes on Multicomputers. J. Parallel Distributed Comput. 12(4): 415-422 (1991) - [j10]Joel H. Saltz, Serge G. Petition, Harry Berryman, Adam Rifkin:
Performance Effects of Irregular Communication Patterns on Massively Parallel Multiprocessors. J. Parallel Distributed Comput. 13(2): 202-212 (1991) - [j9]Joel H. Saltz, Ravi Mirchandaney, Kay Crowley:
Run-Time Parallelization and Scheduling of Loops. IEEE Trans. Computers 40(5): 603-612 (1991) - [c14]Janet Wu, Joel H. Saltz, Seema Hiranandani, Harry Berryman:
Runtime Compilation Methods for Multicomputers. ICPP (2) 1991: 26-30 - [c13]Joel H. Saltz, Ravi Mirchandaney:
The Preprocessed Doacross Loop. ICPP (2) 1991: 174-179 - [c12]V. Venkatakrishnan, Joel H. Saltz, Dimitri J. Mavriplis:
Solving Unstructured Mesh Problems with Domain Decomposed GMRES/ILU. PP 1991: 257-262 - [c11]Raja Das, Joel H. Saltz, Dimitri J. Mavriplis, Janet Wu, Harry Berryman:
Unstructured Mesh Problems, PARTI Primitives, and the ARF Compiler. PP 1991: 570-572 - 1990
- [j8]Harry Berryman, Joel H. Saltz, William Gropp, Ravi Mirchandaney:
Krylov Methods Preconditioned with Incompletely Factored Matrices on the CM-2. J. Parallel Distributed Comput. 8(2): 186-190 (1990) - [j7]Joel H. Saltz, Kathleen Crowley, Ravi Mirchandaney, Harry Berryman:
Run-Time Scheduling and Execution of Loops on Message Passing Machines. J. Parallel Distributed Comput. 8(4): 303-312 (1990) - [j6]Joel H. Saltz:
Aggregation Methods for Solving Sparse Triangular Systems on Multiprocessors. SIAM J. Sci. Comput. 11(1): 123-144 (1990) - [j5]David M. Nicol, Joel H. Saltz:
An Anlysis of Scatter Decomposition. IEEE Trans. Computers 39(11): 1337-1345 (1990)
1980 – 1989
- 1989
- [j4]David M. Nicol, Joel H. Saltz, James C. Townsend:
Delay point schedules for irregular parallel computations. Int. J. Parallel Program. 18(1): 69-90 (1989) - [c10]Joel H. Saltz, Ravi Mirchandaney, Kathleen Crowley:
The doconsider loop. ICS 1989: 29-40 - [c9]V. Venkatakrishnan, Joel H. Saltz:
Domain Decomposition Methods in Aerodynamics. PP 1989: 278-284 - [c8]Harry Berryman, Joel H. Saltz, Jeffrey S. Scroggs:
Execution Time Support for Scientific Programs on Distributed Memory Machines. PP 1989: 393-399 - [c7]Doug Baxter, Ravi Mirchandaney, Joel H. Saltz:
Run-Time Parallelization and Scheduling of Loops. SPAA 1989: 303-312 - 1988
- [j3]Elizabeth W. Edmiston, Nolan G. Core, Joel H. Saltz, Roger M. Smith:
Parallel processing of biological sequence comparison algorithms. Int. J. Parallel Program. 17(3): 259-275 (1988) - [j2]Joel H. Saltz, Vijay K. Naik:
Towards developing robust algorithms for solving partial differential equations on MIMD machines. Parallel Comput. 6(1): 19-44 (1988) - [j1]David M. Nicol, Joel H. Saltz:
Dynamic Remapping of Parallel Computations with Varying Resource Demands. IEEE Trans. Computers 37(9): 1073-1087 (1988) - [c6]Doug Baxter, Joel H. Saltz, Martin H. Schultz, Stanley C. Eisenstat, Kay Crowley:
An experimental study of methods for parallel preconditioned Krylov methods. C³P 1988: 1698-1711 - [c5]Ravi Mirchandaney, Joel H. Saltz, Roger M. Smith, David M. Nicol, Kay Crowley:
Principles of runtime support for parallel processors. ICS 1988: 140-152 - 1987
- [c4]Joel H. Saltz, Ravi Mirchandaney, Roger M. Smith, David M. Nicol, Kay Crowley:
The PARTY Parallel Runtime System - Invited Talk. PP 1987: 335-345 - 1986
- [c3]Mohammad Ashraf Iqbal, Joel H. Saltz, Shahid H. Bokhari:
A Comparative Analysis of Static and Dynamic Load Balancing Strategies. ICPP 1986: 1040-1047 - 1985
- [c2]Joel H. Saltz, Vijay K. Naik, David M. Nicol:
Reduction of the effects of the communication delays in scientific algorithms on message passing MIMD architectures. PP 1985: 118-134 - 1984
- [c1]R. Smith, Joel H. Saltz:
Performance Analysis of Strategies for Moving Mesh Control. Int. CMG Conference 1984: 301-308
Coauthor Index
[j82] [c192] [j75] [j72] [j69] [j68] [j67] [c180] [j65] [j60] [c178] [c177] [c176] [c175] [c174] [c172] [c170] [c167] [c166] [c165] [c161] [c160] [c159] [c158] [c157] [c156] [c155] [c154] [c152] [j51] [j50] [j49] [c146] [c143] [c142] [c140] [c139] [c138] [c134] [c130] [j48] [j47] [j45] [j44] [c128] [c127] [c126] [c125] [c124] [c121] [c119] [c118] [c117] [c115] [c114] [c113] [c112] [c111] [c110] [j41] [j39] [c103] [c101] [c100] [c98] [c94] [c93] [j36] [c88] [c87] [c85] [j35] [j34] [c81] [c80]
Rajarsi Gupta 0001
aka: Rajarsi R. Gupta
aka: Rajarsi R. Gupta
Metin Nafi Gürcan
aka: Metin N. Gurcan
aka: Metin N. Gurcan
[j116] [j110] [j109] [j105] [j103] [j102] [c242] [i18] [j100] [i17] [j98] [c229] [i11] [c215] [i8] [j94] [c212] [i7] [j92] [j88] [c208] [c206] [i5] [j86] [j85] [c202] [c198] [i2] [i1] [j81] [c196] [c194] [c193] [c191] [c190] [c189] [j77] [c186] [c184] [j70] [j69] [j67] [j66] [c176] [c171] [c170] [c169] [c167] [c165] [c159] [c158] [c153] [c150] [c143]
[c269] [c263] [j116] [j115] [c262] [c258] [i43] [i40] [i39] [j113] [j110] [c256] [i34] [i33] [i32] [i31] [i28] [j109] [c252] [c251] [c249] [c248] [c246] [i26] [j105] [j104] [c244] [c243] [i25] [j103] [j102] [j101] [c240] [c239] [c237] [c235] [i22] [i21] [i20] [i18] [j100] [c234] [i17] [i16] [j98] [c232] [c230] [c229] [c227] [c225] [c224] [i14] [i13] [c223] [c222] [c220] [c219] [c218] [i12] [i11] [i10] [j97] [c217] [c216] [c215] [c213] [i9] [i8] [j96] [j94] [c212] [c211] [i7] [j92] [j91] [j90] [j89] [j88] [c210] [c209] [c208] [c206] [i5] [j86] [j85] [c203] [c202] [c198] [c197] [i2] [i1] [j83] [j82] [j81] [c195] [c194] [c193] [c191] [c190] [c189] [j80] [j77] [c186] [c184] [j74] [j73] [j68] [c183] [c182] [c181] [c180] [j66] [j65] [j64] [j63] [j62] [j61] [j60] [c179] [c177] [c175] [c174] [c173] [c172] [c166] [j58] [j56] [j55] [j54] [c164] [c163] [c160] [c158] [c157] [c156] [c155] [c154] [c152] [c151] [c149] [j52] [j51] [j50] [j49] [c147] [c146] [c143] [c142] [c141] [c140] [c139] [c138] [c137] [c136] [c134] [c131] [c130] [j48] [j47] [j45] [j44] [c128] [c127] [c126] [c125] [c124] [c123] [c122] [c121] [c119] [j43] [c118] [c117] [c115] [c114] [c113] [c112] [c111] [c109] [j41] [j39] [c103] [c102] [c101] [c100] [c99] [c98] [c97] [c96] [c94] [c93] [j38] [j36] [c92] [c89] [c88] [c87] [c86] [c85] [j35] [j34] [c83] [c81] [c80] [c79] [j32] [c78] [c74] [c71] [j31] [c69] [c65] [c63] [c57]
Tony Pan
aka: Tony C. Pan
aka: Tony C. Pan
P. Sadayappan
aka: Ponnuswamy Sadayappan
aka: Ponnuswamy Sadayappan
[j118] [c269] [c268] [c267] [c266] [c265] [c263] [i47] [i46] [c262] [c261] [c260] [c259] [c258] [c257] [i44] [i43] [i41] [i40] [i38] [i37] [i36] [c255] [c254] [c253] [i35] [i33] [i29] [i27] [c250] [c248] [i26] [c244] [c243] [i25] [j101] [c241] [c239] [c237] [c236] [c235] [i22] [i21] [i20] [i19] [c232] [c224] [i14] [i13] [c220] [i12] [i10] [i9]
[j54] [j48] [j43] [j39] [c98] [c97] [c96] [j38] [j36] [c92] [c89] [c88] [c86] [c85] [j35] [j34] [c83] [c82] [c81] [c80] [c79] [j32] [c78] [c74] [c71] [j31] [c69] [c68] [c67] [c66] [c65] [c63] [j30] [j29] [j28] [c61] [c57] [j26] [c56] [c54] [c52] [c50] [c47] [c45] [c43] [j16] [c37] [c34] [c31] [c27] [c21] [c20]
Nagavijayalakshmi Vydyanathan
aka: Naga Vydyanathan
aka: Naga Vydyanathan
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