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2020 – today
- 2024
- [c94]Runzhou Han, Chao Shi, Tabassum Mahmud, Zeren Yang, Vladislav Esaulov, Lipeng Wan, Yong Chen, Jim Wayda, Matthew Wolf, Mai Zheng:
Revisiting Erasure Codes: A Configuration Perspective. HotStorage 2024 - [i11]Greg Eisenhauer, Norbert Podhorszki, Ana Gainaru, Scott Klasky, Philip E. Davis, Manish Parashar, Matthew Wolf, Eric Suchtya, Erick Fredj, Vicente Bolea, Franz Pöschel, Klaus Steiniger, Michael Bussmann, Richard Pausch, Sunita Chandrasekaran:
Streaming Data in HPC Workflows Using ADIOS. CoRR abs/2410.00178 (2024) - 2023
- [i10]Runzhou Han, Mai Zheng, Suren Byna, Houjun Tang, Bin Dong, Dong Dai, Yong Chen, Dongkyun Kim, Joseph Hassoun, David Thorsley, Matthew Wolf:
PROV-IO+: A Cross-Platform Provenance Framework for Scientific Data on HPC Systems. CoRR abs/2308.00891 (2023) - 2022
- [j17]Kshitij Mehta, Bryce Allen, Matthew Wolf, Jeremy Logan, Eric Suchyta, Swati Singhal, Jong Youl Choi, Keichi Takahashi, Kevin A. Huck, Igor Yakushin, Alan Sussman, Todd S. Munson, Ian T. Foster, Scott Klasky:
A codesign framework for online data analysis and reduction. Concurr. Comput. Pract. Exp. 34(14) (2022) - [j16]Eric Suchyta, Scott Klasky, Norbert Podhorszki, Matthew Wolf, Abolaji D. Adesoji, Choong-Seock Chang, Jong Choi, Philip E. Davis, Julien Dominski, Stéphane Ethier, Ian T. Foster, Kai Germaschewski, Berk Geveci, Chris Harris, Kevin A. Huck, Qing Liu, Jeremy Logan, Kshitij Mehta, Gabriele Merlo, Shirley V. Moore, Todd S. Munson, Manish Parashar, David Pugmire, Mark S. Shephard, Cameron W. Smith, Pradeep Subedi, Lipeng Wan, Ruonan Wang, Shuangxi Zhang:
The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science. Int. J. High Perform. Comput. Appl. 36(1): 106-128 (2022) - [j15]Xin Liang, Ben Whitney, Jieyang Chen, Lipeng Wan, Qing Liu, Dingwen Tao, James Kress, David Pugmire, Matthew Wolf, Norbert Podhorszki, Scott Klasky:
MGARD+: Optimizing Multilevel Methods for Error-Bounded Scientific Data Reduction. IEEE Trans. Computers 71(7): 1522-1536 (2022) - [c93]Kshitij Mehta, Ashley Cliff, Frédéric Suter, Angelica M. Walker, Matthew Wolf, Daniel A. Jacobson, Scott Klasky:
Running Ensemble Workflows at Extreme Scale: Lessons Learned and Path Forward. e-Science 2022: 284-294 - [c92]Sean R. Wilkinson, Greg Eisenhauer, Anuj J. Kapadia, Kathryn Knight, Jeremy Logan, Patrick M. Widener, Matthew Wolf:
F*** workflows: when parts of FAIR are missing. e-Science 2022: 507-512 - [c91]Subhendu Behera, Lipeng Wan, Frank Mueller, Matthew Wolf, Scott Klasky:
P-ckpt: Coordinated Prioritized Checkpointing. IPDPS 2022: 436-446 - [c90]Addi Malviya-Thakur, Seth Hitefield, Marshall T. McDonnell, Matthew Wolf, Richard Archibald, Lance Drane, Kevin Roccapriore, Maxim A. Ziatdinov, Jesse McGaha, Robert Smith, John Hetrick, Mark Abraham, Sergey Yakubov, Gregory R. Watson, Ben Chance, Clara Nguyen, Matthew Baker, J. Robert Michael, Elke Arenholz, Ben Mintz:
Towards a Software Development Framework for Interconnected Science Ecosystems. SMC 2022: 206-224 - [i9]Ryan Baker, John Garvey, Mitchell Kraft, Manoj Mathews, Kieran O. Connor, Matthew Wolf:
Vehicle Guidance and Tracking Systems. CoRR abs/2205.12470 (2022) - [i8]Sean R. Wilkinson, Greg Eisenhauer, Anuj J. Kapadia, Kathryn Knight, Jeremy Logan, Patrick M. Widener, Matthew Wolf:
F*** workflows: when parts of FAIR are missing. CoRR abs/2209.09022 (2022) - 2021
- [j14]Ian T. Foster, Mark Ainsworth, Julie Bessac, Franck Cappello, Jong Choi, Sheng Di, Zichao Wendy Di, Ali Murat Gok, Hanqi Guo, Kevin A. Huck, Christopher Kelly, Scott Klasky, Kerstin Kleese van Dam, Xin Liang, Kshitij Mehta, Manish Parashar, Tom Peterka, Line Pouchard, Tong Shu, Ozan Tugluk, Hubertus Van Dam, Lipeng Wan, Matthew Wolf, Justin M. Wozniak, Wei Xu, Igor Yakushin, Shinjae Yoo, Todd S. Munson:
Online data analysis and reduction: An important Co-design motif for extreme-scale computers. Int. J. High Perform. Comput. Appl. 35(6): 617-635 (2021) - [c89]Jeremy Logan, Greeshma A. Agasthya, Heidi A. Hanson, Matthew Wolf, Heechan Lee, Shaheen Dewji, Hong-Jun Yoon, Anuj J. Kapadia:
Creating a Tools Ecosystem for Cross-Discipline Environmental Data Reuse. IEEE BigData 2021: 3705-3708 - [c88]Matthew Wolf, Jeremy Logan, Kshitij Mehta, Daniel A. Jacobson, Mikaela Cashman, Angelica M. Walker, Greg Eisenhauer, Patrick M. Widener, Ashley Cliff:
Reusability First: Toward FAIR Workflows. CLUSTER 2021: 444-455 - [c87]Sachith Withana, Kshitij Mehta, Matthew Wolf, Beth Plale:
Towards System for Knowledge Representation of Campaign Experimentation. e-Science 2021: 257-258 - [c86]Swati Singhal, Alan Sussman, Matthew Wolf, Kshitij Mehta, Jong Youl Choi:
DYFLOW: A flexible framework for orchestrating scientific workflows on supercomputers. ICPP Workshops 2021: 31:1-31:11 - [c85]Jieyang Chen, Lipeng Wan, Xin Liang, Ben Whitney, Qing Liu, David Pugmire, Nicholas Thompson, Jong Youl Choi, Matthew Wolf, Todd S. Munson, Ian T. Foster, Scott Klasky:
Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. IPDPS 2021: 859-868 - [c84]Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Ilkay Altintas, Rosa M. Badia, Bartosz Balis, Tainã Coleman, Frederik Coppens, Frank Di Natale, Bjoern Enders, Thomas Fahringer, Rosa Filgueira, Grigori Fursin, Daniel Garijo, Carole A. Goble, Dorran Howell, Shantenu Jha, Daniel S. Katz, Daniel E. Laney, Ulf Leser, Maciej Malawski, Kshitij Mehta, Loïc Pottier, Jonathan Ozik, J. Luc Peterson, Lavanya Ramakrishnan, Stian Soiland-Reyes, Douglas Thain, Matthew Wolf:
A Community Roadmap for Scientific Workflows Research and Development. WORKS 2021: 81-90 - [i7]Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Dan Laney, Dong H. Ahn, Shantenu Jha, Carole A. Goble, Lavanya Ramakrishnan, J. Luc Peterson, Bjoern Enders, Douglas Thain, Ilkay Altintas, Yadu N. Babuji, Rosa M. Badia, Vivien Bonazzi, Tainã Coleman, Michael R. Crusoe, Ewa Deelman, Frank Di Natale, Paolo Di Tommaso, Thomas Fahringer, Rosa Filgueira, Grigori Fursin, Alex Ganose, Björn A. Grüning, Daniel S. Katz, Olga A. Kuchar, Ana Kupresanin, Bertram Ludäscher, Ketan Maheshwari, Marta Mattoso, Kshitij Mehta, Todd S. Munson, Jonathan Ozik, Tom Peterka, Loic Pottier, Tim Randles, Stian Soiland-Reyes, Benjamín Tovar, Matteo Turilli, Thomas D. Uram, Karan Vahi, Michael Wilde, Matthew Wolf, Justin M. Wozniak:
Workflows Community Summit: Bringing the Scientific Workflows Community Together. CoRR abs/2103.09181 (2021) - [i6]Jieyang Chen, Lipeng Wan, Xin Liang, Ben Whitney, Qing Liu, Qian Gong, David Pugmire, Nicholas Thompson, Jong Youl Choi, Matthew Wolf, Todd S. Munson, Ian T. Foster, Scott Klasky:
Scalable Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. CoRR abs/2105.12764 (2021) - [i5]Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Tainã Coleman, Dan Laney, Dong H. Ahn, Shantenu Jha, Dorran Howell, Stian Soiland-Reyes, Ilkay Altintas, Douglas Thain, Rosa Filgueira, Yadu N. Babuji, Rosa M. Badia, Bartosz Balis, Silvina Caíno-Lores, Scott Callaghan, Frederik Coppens, Michael R. Crusoe, Kaushik De, Frank Di Natale, Tu Mai Anh Do, Bjoern Enders, Thomas Fahringer, Anne Fouilloux, Grigori Fursin, Alban Gaignard, Alex Ganose, Daniel Garijo, Sandra Gesing, Carole A. Goble, Adil Hasan, Sebastiaan Huber, Daniel S. Katz, Ulf Leser, Douglas Lowe, Bertram Ludäscher, Ketan Maheshwari, Maciej Malawski, Rajiv Mayani, Kshitij Mehta, André Merzky, Todd S. Munson, Jonathan Ozik, Loïc Pottier, Sashko Ristov, Mehdi Roozmeh, Renan Souza, Frédéric Suter, Benjamín Tovar, Matteo Turilli, Karan Vahi, Alvaro Vidal-Torreira, Wendy R. Whitcup, Michael Wilde, Alan R. Williams, Matthew Wolf, Justin M. Wozniak:
Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development. CoRR abs/2106.05177 (2021) - [i4]Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Ilkay Altintas, Rosa M. Badia, Bartosz Balis, Tainã Coleman, Frederik Coppens, Frank Di Natale, Bjoern Enders, Thomas Fahringer, Rosa Filgueira, Grigori Fursin, Daniel Garijo, Carole A. Goble, Dorran Howell, Shantenu Jha, Daniel S. Katz, Daniel E. Laney, Ulf Leser, Maciej Malawski, Kshitij Mehta, Loïc Pottier, Jonathan Ozik, J. Luc Peterson, Lavanya Ramakrishnan, Stian Soiland-Reyes, Douglas Thain, Matthew Wolf:
A Community Roadmap for Scientific Workflows Research and Development. CoRR abs/2110.02168 (2021) - [i3]Sachith Withana, Kshitij Mehta, Matthew Wolf, Beth Plale:
Campaign Knowledge Network: Building Knowledge for Campaign Efficiency. CoRR abs/2112.03435 (2021) - 2020
- [j13]Jeremy Logan, Mark Ainsworth, Chuck Atkins, Jieyang Chen, Jong Choi, Junmin Gu, James Kress, Greg Eisenhauer, Berk Geveci, William F. Godoy, Mark Kim, Tahsin M. Kurç, Qing Liu, Kshitij Mehta, George Ostrouchov, Norbert Podhorszki, David Pugmire, Eric Suchyta, Nicholas Thompson, Ozan Tugluk, Lipeng Wan, Ruonan Wang, Ben Whitney, Matthew Wolf, Kesheng Wu, Scott Klasky:
Extending the Publish/Subscribe Abstraction for High-Performance I/O and Data Management at Extreme Scale. IEEE Data Eng. Bull. 43(1): 35-46 (2020) - [j12]Tom Peterka, Deborah Bard, Janine C. Bennett, E. Wes Bethel, Ron A. Oldfield, Line Pouchard, Christine Sweeney, Matthew Wolf:
Priority research directions for in situ data management: Enabling scientific discovery from diverse data sources. Int. J. High Perform. Comput. Appl. 34(4) (2020) - [j11]Hank Childs, Sean Ahern, James P. Ahrens, Andrew C. Bauer, Janine Bennett, E. Wes Bethel, Peer-Timo Bremer, Eric Brugger, Joseph Cottam, Matthieu Dorier, Soumya Dutta, Jean M. Favre, Thomas Fogal, Steffen Frey, Christoph Garth, Berk Geveci, William F. Godoy, Charles D. Hansen, Cyrus Harrison, Bernd Hentschel, Joseph A. Insley, Christopher R. Johnson, Scott Klasky, Aaron Knoll, James Kress, Matthew Larsen, Jay F. Lofstead, Kwan-Liu Ma, Preeti Malakar, Jeremy S. Meredith, Kenneth Moreland, Paul A. Navrátil, Patrick O'Leary, Manish Parashar, Valerio Pascucci, John Patchett, Tom Peterka, Steve Petruzza, Norbert Podhorszki, David Pugmire, Michel E. Rasquin, Silvio Rizzi, David H. Rogers, Sudhanshu Sane, Franz Sauer, Robert Sisneros, Han-Wei Shen, Will Usher, Rhonda Vickery, Venkatram Vishwanath, Ingo Wald, Ruonan Wang, Gunther H. Weber, Brad Whitlock, Matthew Wolf, Hongfeng Yu, Sean B. Ziegeler:
A terminology for in situ visualization and analysis systems. Int. J. High Perform. Comput. Appl. 34(6) (2020) - [j10]William F. Godoy, Norbert Podhorszki, Ruonan Wang, Chuck Atkins, Greg Eisenhauer, Junmin Gu, Philip E. Davis, Jong Choi, Kai Germaschewski, Kevin A. Huck, Axel Huebl, Mark Kim, James Kress, Tahsin M. Kurç, Qing Liu, Jeremy Logan, Kshitij Mehta, George Ostrouchov, Manish Parashar, Franz Poeschel, David Pugmire, Eric Suchyta, Keichi Takahashi, Nick Thompson, Seiji Tsutsumi, Lipeng Wan, Matthew Wolf, Kesheng Wu, Scott Klasky:
ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management. SoftwareX 12: 100561 (2020) - [c83]Burlen Loring, Matthew Wolf, James Kress, Sergei Shudler, Junmin Gu, Silvio Rizzi, Jeremy Logan, Nicola J. Ferrier, E. Wes Bethel:
Improving Performance of M-to-N Processing and Data Redistribution in In Transit Analysis and Visualization. EGPGV@Eurographics/EuroVis 2020: 35-45 - [c82]Subhendu Behera, Lipeng Wan, Frank Mueller, Matthew Wolf, Scott Klasky:
Orchestrating Fault Prediction with Live Migration and Checkpointing. HPDC 2020: 167-171 - [c81]Igor Yakushin, Kshitij Mehta, Jieyang Chen, Matthew Wolf, Ian T. Foster, Scott Klasky, Todd S. Munson:
Feature-preserving Lossy Compression for In Situ Data Analysis. ICPP Workshops 2020: 10:1-10:9 - [c80]James Kress, Matthew Larsen, Jong Choi, Mark Kim, Matthew Wolf, Norbert Podhorszki, Scott Klasky, Hank Childs, David Pugmire:
Comparing Time-to-Solution for In Situ Visualization Paradigms at Scale. LDAV 2020: 22-26 - [c79]David Pugmire, James Kress, Jieyang Chen, Hank Childs, Jong Choi, Dmitry Ganyushin, Berk Geveci, Mark Kim, Scott Klasky, Xin Liang, Jeremy Logan, Nicole Marsaglia, Kshitij Mehta, Norbert Podhorszki, Caitlin Ross, Eric Suchyta, Nick Thompson, Steven Walton, Lipeng Wan, Matthew Wolf:
Visualization as a Service for Scientific Data. SMC 2020: 157-174 - [c78]Jong Choi, Ruonan Wang, Randy Michael Churchill, Ralph Kube, Minjun Choi, Jinseop Park, Jeremy Logan, Kshitij Mehta, Greg Eisenhauer, Norbert Podhorszki, Matthew Wolf, Choong-Seock Chang, Scott Klasky:
Data Federation Challenges in Remote Near-Real-Time Fusion Experiment Data Processing. SMC 2020: 285-299 - [c77]James Kress, Matthew Larsen, Jong Choi, Mark Kim, Matthew Wolf, Norbert Podhorszki, Scott Klasky, Hank Childs, David Pugmire:
Opportunities for Cost Savings with In-Transit Visualization. ISC 2020: 146-165 - [i2]Jieyang Chen, Lipeng Wan, Xin Liang, Ben Whitney, Qing Liu, Dave Pugmire, Nicholas Thompson, Matthew Wolf, Todd S. Munson, Ian T. Foster, Scott Klasky:
Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. CoRR abs/2007.04457 (2020) - [i1]Xin Liang, Ben Whitney, Jieyang Chen, Lipeng Wan, Qing Liu, Dingwen Tao, James Kress, David Pugmire, Matthew Wolf, Norbert Podhorszki, Scott Klasky:
MGARD+: Optimizing Multi-grid Based Reduction for Efficient Scientific Data Management. CoRR abs/2010.05872 (2020)
2010 – 2019
- 2019
- [j9]Justin M. Wozniak, Matthieu Dorier, Robert B. Ross, Tong Shu, Tahsin M. Kurç, Li Tang, Norbert Podhorszki, Matthew Wolf:
MPI jobs within MPI jobs: A practical way of enabling task-level fault-tolerance in HPC workflows. Future Gener. Comput. Syst. 101: 576-589 (2019) - [j8]Thomas Marrinan, Greg Eisenhauer, Matthew Wolf, Joseph A. Insley, Silvio Rizzi, Michael E. Papka:
Parallel streaming between heterogeneous HPC resources for real-time analysis. J. Comput. Sci. 31: 163-171 (2019) - [j7]Dan Huang, Qing Liu, Jong Choi, Norbert Podhorszki, Scott Klasky, Jeremy Logan, George Ostrouchov, Xubin He, Matthew Wolf:
Can I/O Variability Be Reduced on QoS-Less HPC Storage Systems? IEEE Trans. Computers 68(5): 631-645 (2019) - [c76]Matthew Wolf, Julien Dominski, Gabriele Merlo, Jong Choi, Greg Eisenhauer, Stéphane Ethier, Kevin A. Huck, Scott Klasky, Jeremy Logan, Allen D. Malony, Chad Wood:
Scalable Performance Awareness for In Situ Scientific Applications. eScience 2019: 266-276 - [c75]Jeremy Logan, Kshitij Mehta, Gerd Heber, Scott Klasky, Tahsin M. Kurç, Norbert Podhorszki, Patrick M. Widener, Matthew Wolf:
A Vision for Managing Extreme-Scale Data Hoards. ICDCS 2019: 1806-1817 - [c74]Kshitij Mehta, Ian T. Foster, Scott Klasky, Bryce Allen, Matthew Wolf, Jeremy Logan, Eric Suchyta, Jong Choi, Keichi Takahashi, Igor Yakushin, Todd S. Munson:
A Codesign Framework for Online Data Analysis and Reduction. WORKS@SC 2019: 11-20 - [c73]James Kress, Matthew Larsen, Jong Choi, Mark Kim, Matthew Wolf, Norbert Podhorszki, Scott Klasky, Hank Childs, David Pugmire:
Comparing the Efficiency of In Situ Visualization Paradigms at Scale. ISC 2019: 99-117 - 2018
- [c72]Jong Youl Choi, Choong-Seock Chang, Julien Dominski, Scott Klasky, Gabriele Merlo, Eric Suchyta, Mark Ainsworth, Bryce Allen, Franck Cappello, Michael Churchill, Philip E. Davis, Sheng Di, Greg Eisenhauer, Stéphane Ethier, Ian T. Foster, Berk Geveci, Hanqi Guo, Kevin A. Huck, Frank Jenko, Mark Kim, James Kress, Seung-Hoe Ku, Qing Liu, Jeremy Logan, Allen D. Malony, Kshitij Mehta, Kenneth Moreland, Todd S. Munson, Manish Parashar, Tom Peterka, Norbert Podhorszki, Dave Pugmire, Ozan Tugluk, Ruonan Wang, Ben Whitney, Matthew Wolf, Chad Wood:
Coupling Exascale Multiphysics Applications: Methods and Lessons Learned. eScience 2018: 442-452 - [c71]Chao Chen, Greg Eisenhauer, Matthew Wolf, Santosh Pande:
LADR: low-cost application-level detector for reducing silent output corruptions. HPDC 2018: 156-167 - [c70]Scott Klasky, Matthew Wolf, Mark Ainsworth, Chuck Atkins, Jong Choi, Greg Eisenhauer, Berk Geveci, William F. Godoy, Mark Kim, James Kress, Tahsin M. Kurç, Qing Liu, Jeremy Logan, Arthur B. Maccabe, Kshitij Mehta, George Ostrouchov, Manish Parashar, Norbert Podhorszki, David Pugmire, Eric Suchyta, Lipeng Wan, Ruonan Wang:
A View from ORNL: Scientific Data Research Opportunities in the Big Data Age. ICDCS 2018: 1357-1368 - [c69]Tao Lu, Qing Liu, Xubin He, Huizhang Luo, Eric Suchyta, Jong Choi, Norbert Podhorszki, Scott Klasky, Matthew Wolf, Tong Liu, Zhenbo Qiao:
Understanding and Modeling Lossy Compression Schemes on HPC Scientific Data. IPDPS 2018: 348-357 - [c68]Mark Kim, James Kress, Jong Choi, Norbert Podhorszki, Scott Klasky, Matthew Wolf, Kshitij Mehta, Kevin A. Huck, Berk Geveci, Sujin Phillip, Robert Maynard, Hanqi Guo, Tom Peterka, Kenneth Moreland, Choong-Seock Chang, Julien Dominski, Michael Churchill, David Pugmire:
In Situ Analysis and Visualization of Fusion Simulations: Lessons Learned. ISC Workshops 2018: 230-242 - [e1]Matthew Wolf, Kenneth Moreland, E. Wes Bethel:
Proceedings of the Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, ISAV@SC 2018, Dallas, TX, USA, November 11, 2018. ACM 2018, ISBN 978-1-4503-6579-6 [contents] - 2017
- [c67]Tao Lu, Eric Suchyta, David Pugmire, Jong Choi, Scott Klasky, Qing Liu, Norbert Podhorszki, Mark Ainsworth, Matthew Wolf:
Canopus: A Paradigm Shift Towards Elastic Extreme-Scale Data Analytics on HPC Storage. CLUSTER 2017: 58-69 - [c66]Jeremy Logan, Jong Youl Choi, Matthew Wolf, George Ostrouchov, Lipeng Wan, Norbert Podhorszki, William F. Godoy, Scott Klasky, Erich Lohrmann, Greg Eisenhauer, Chad Wood, Kevin A. Huck:
Extending Skel to Support the Development and Optimization of Next Generation I/O Systems. CLUSTER 2017: 563-571 - [c65]Jong Youl Choi, Jeremy Logan, Matthew Wolf, George Ostrouchov, Tahsin M. Kurç, Qing Liu, Norbert Podhorszki, Scott Klasky, Melissa Romanus, Qian Sun, Manish Parashar, Randy Michael Churchill, Choong-Seock Chang:
TGE: Machine Learning Based Task Graph Embedding for Large-Scale Topology Mapping. CLUSTER 2017: 587-591 - [c64]Erich Lohrmann, Greg Eisenhauer, Matthew Wolf:
Introducing Weirs: An Abstraction for Next Generation Streaming Workflows. CLUSTER 2017: 655-656 - [c63]Ian T. Foster, Mark Ainsworth, Bryce Allen, Julie Bessac, Franck Cappello, Jong Youl Choi, Emil M. Constantinescu, Philip E. Davis, Sheng Di, Zichao Wendy Di, Hanqi Guo, Scott Klasky, Kerstin Kleese van Dam, Tahsin M. Kurç, Qing Liu, Abid Malik, Kshitij Mehta, Klaus Mueller, Todd S. Munson, George Ostrouchov, Manish Parashar, Tom Peterka, Line Pouchard, Dingwen Tao, Ozan Tugluk, Stefan M. Wild, Matthew Wolf, Justin M. Wozniak, Wei Xu, Shinjae Yoo:
Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales. Euro-Par 2017: 3-19 - [c62]Tao Lu, Eric Suchyta, Jong Youl Choi, Norbert Podhorszki, Scott Klasky, Qing Liu, David Pugmire, Matthew Wolf, Mark Ainsworth:
Canopus: Enabling Extreme-Scale Data Analytics on Big HPC Storage via Progressive Refactoring. HotStorage 2017 - [c61]Lipeng Wan, Matthew Wolf, Feiyi Wang, Jong Youl Choi, George Ostrouchov, Scott Klasky:
Analysis and Modeling of the End-to-End I/O Performance on OLCF's Titan Supercomputer. HPCC/SmartCity/DSS 2017: 1-9 - [c60]Qing Liu, Norbert Podhorszki, Jong Youl Choi, Jeremy Logan, Matthew Wolf, Scott Klasky, Tahsin M. Kurç, Xubin He:
StoreRush: An Application-Level Approach to Harvesting Idle Storage in a Best Effort Environment. ICCS 2017: 475-484 - [c59]Lipeng Wan, Matthew Wolf, Feiyi Wang, Jong Youl Choi, George Ostrouchov, Scott Klasky:
Comprehensive Measurement and Analysis of the User-Perceived I/O Performance in a Production Leadership-Class Storage System. ICDCS 2017: 1022-1031 - [c58]Xin Chen, Liting Hu, Douglas M. Blough, Michael A. Kozuch, Matthew Wolf:
RBAY: A Scalable and Extensible Information Plane for Federating Distributed Datacenter Resources. ICDCS 2017: 1345-1355 - [c57]Scott Klasky, Eric Suchyta, Mark Ainsworth, Qing Liu, Ben Whitney, Matthew Wolf, Jong Youl Choi, Ian T. Foster, Mark Kim, Jeremy Logan, Kshitij Mehta, Todd S. Munson, George Ostrouchov, Manish Parashar, Norbert Podhorszki, David Pugmire, Lipeng Wan:
Exacution: Enhancing Scientific Data Management for Exascale. ICDCS 2017: 1927-1937 - [c56]Alexis Champsaur, Jay F. Lofstead, Jai Dayal, Matthew Wolf, Greg Eisenhauer, Patrick M. Widener, Ada Gavrilovska:
SmartBlock: An Approach to Standardizing In Situ Workflow Components. IPDPS Workshops 2017: 1301-1308 - 2016
- [j6]Matthew Wolf, Suzanne Miller, Doug DeJong, John A. House, Carl Dirks, Brent Beasley:
The process of development of a prioritization tool for a clinical decision support build within a computerized provider order entry system: Experiences from St Luke's Health System. Health Informatics J. 22(3): 579-593 (2016) - [c55]Anshuman Goswami, Yuan Tian, Karsten Schwan, Fang Zheng, Jeffrey S. Young, Matthew Wolf, Greg Eisenhauer, Scott Klasky:
Landrush: Rethinking In-Situ Analysis for GPGPU Workflows. CCGrid 2016: 32-41 - [c54]Jay F. Lofstead, Alexis Champsaur, Jai Dayal, Matthew Wolf, Greg Eisenhauer:
SuperGlue: Standardizing Glue Components for HPC Workflows. CLUSTER 2016: 170-171 - [c53]Xuechen Zhang, Fang Zheng, Karsten Schwan, Matthew Wolf:
FlashStager: Improving the Performance of SSD-Based Data Staging Systems via Write Redirection. CLUSTER 2016: 312-315 - [c52]Dipanjan Sengupta, Narayanan Sundaram, Xia Zhu, Theodore L. Willke, Jeffrey S. Young, Matthew Wolf, Karsten Schwan:
GraphIn: An Online High Performance Incremental Graph Processing Framework. Euro-Par 2016: 319-333 - [c51]David Pugmire, James Kress, Jong Youl Choi, Scott Klasky, Tahsin M. Kurç, Michael Churchill, Matthew Wolf, Greg Eisenhauer, Hank Childs, Kesheng Wu, Alexander Sim, Junmin Gu, Jonathan Low:
Visualization and Analysis for Near-Real-Time Decision Making in Distributed Workflows. IPDPS Workshops 2016: 1007-1013 - [c50]Anshuman Goswami, Jeffrey S. Young, Karsten Schwan, Naila Farooqui, Ada Gavrilovska, Matthew Wolf, Greg Eisenhauer:
GPUShare: Fair-Sharing Middleware for GPU Clouds. IPDPS Workshops 2016: 1769-1776 - [c49]Utkarsh Ayachit, Brad Whitlock, Matthew Wolf, Burlen Loring, Berk Geveci, David Lonie, E. Wes Bethel:
The SENSEI Generic In Situ Interface. ISAV@SC 2016: 40-44 - [c48]Utkarsh Ayachit, Andrew C. Bauer, Earl P. N. Duque, Greg Eisenhauer, Nicola J. Ferrier, Junmin Gu, Kenneth E. Jansen, Burlen Loring, Zarija Lukic, Suresh Menon, Dmitriy Morozov, Patrick O'Leary, Reetesh Ranjan, Michel E. Rasquin, Christopher P. Stone, Venkatram Vishwanath, Gunther H. Weber, Brad Whitlock, Matthew Wolf, K. John Wu, E. Wes Bethel:
Performance analysis, design considerations, and applications of extreme-scale in situ infrastructures. SC 2016: 921-932 - 2015
- [c47]Jai Dayal, Jay F. Lofstead, Greg Eisenhauer, Karsten Schwan, Matthew Wolf, Hasan Abbasi, Scott Klasky:
SODA: Science-Driven Orchestration of Data Analytics. e-Science 2015: 475-484 - [c46]Yanwei Zhang, Matthew Wolf, Karsten Schwan, Qing Liu, Greg Eisenhauer, Scott Klasky:
Co-sites: the autonomous distributed dataflows in collaborative scientific discovery. WORKS@SC 2015: 5:1-5:11 - 2014
- [j5]Qing Liu, Jeremy Logan, Yuan Tian, Hasan Abbasi, Norbert Podhorszki, Jong Youl Choi, Scott Klasky, Roselyne Tchoua, Jay F. Lofstead, Ron A. Oldfield, Manish Parashar, Nagiza F. Samatova, Karsten Schwan, Arie Shoshani, Matthew Wolf, Kesheng Wu, Weikuan Yu:
Hello ADIOS: the challenges and lessons of developing leadership class I/O frameworks. Concurr. Comput. Pract. Exp. 26(7): 1453-1473 (2014) - [c45]Jai Dayal, Drew Bratcher, Greg Eisenhauer, Karsten Schwan, Matthew Wolf, Xuechen Zhang, Hasan Abbasi, Scott Klasky, Norbert Podhorszki:
Flexpath: Type-Based Publish/Subscribe System for Large-Scale Science Analytics. CCGRID 2014: 246-255 - [c44]Jian Huang, Xuechen Zhang, Greg Eisenhauer, Karsten Schwan, Matthew Wolf, Stéphane Ethier, Scott Klasky:
Scibox: Online Sharing of Scientific Data via the Cloud. IPDPS 2014: 145-154 - [c43]Yanwei Zhang, Qing Liu, Scott Klasky, Matthew Wolf, Karsten Schwan, Greg Eisenhauer, Jong Youl Choi, Norbert Podhorszki:
Active workflow system for near real-time extreme-scale science. PPAA@PPoPP 2014: 53-62 - 2013
- [c42]Hongbo Zou, Karsten Schwan, Magdalena Slawiñska, Matthew Wolf, Greg Eisenhauer, Fang Zheng, Jai Dayal, Jeremy Logan, Qing Liu, Scott Klasky, Tanja Bode, Michael Clark, Matthew Kinsey:
FlexQuery: An online query system for interactive remote visual data exploration at large scale. CLUSTER 2013: 1-8 - [c41]Roselyne Tchoua, Jong Youl Choi, Scott Klasky, Qing Liu, Jeremy Logan, Kenneth Moreland, Jingqing Mu, Manish Parashar, Norbert Podhorszki, David Pugmire, Matthew Wolf:
ADIOS Visualization Schema: A First Step Towards Improving Interdisciplinary Collaboration in High Performance Computing. e-Science 2013: 27-34 - [c40]Fang Zheng, Hongbo Zou, Greg Eisenhauer, Karsten Schwan, Matthew Wolf, Jai Dayal, Tuan-Anh Nguyen, Jianting Cao, Hasan Abbasi, Scott Klasky, Norbert Podhorszki, Hongfeng Yu:
FlexIO: I/O Middleware for Location-Flexible Scientific Data Analytics. IPDPS 2013: 320-331 - [c39]Tuan-Anh Nguyen, Greg Eisenhauer, Karsten Schwan, Matthew Wolf, Hasan Abbasi, Scott Klasky, Norbert Podhorszki:
Resource Provisioning for Staging Components. IPDPS Workshops 2013: 1947-1953 - [c38]Jai Dayal, Jianting Cao, Greg Eisenhauer, Karsten Schwan, Matthew Wolf, Fang Zheng, Hasan Abbasi, Scott Klasky, Norbert Podhorszki, Jay F. Lofstead:
I/O Containers: Managing the Data Analytics and Visualization Pipelines of High End Codes. IPDPS Workshops 2013: 2015-2024 - [c37]Fang Zheng, Hongfeng Yu, Can Hantas, Matthew Wolf, Greg Eisenhauer, Karsten Schwan, Hasan Abbasi, Scott Klasky:
GoldRush: resource efficient in situ scientific data analytics using fine-grained interference aware execution. SC 2013: 78:1-78:12 - [c36]Richard A. Brown, Joel C. Adams, David P. Bunde, Jens Mache, Elizabeth Shoop, Michael A. Smith, Paul F. Steinberg, Matthew Wolf:
Multi-course approaches to curriculum 2013's parallel and distributed computing (abstract only). SIGCSE 2013: 755 - [c35]Magdalena Slawiñska, Michael Clark, Matthew Wolf, Tanja Bode, Hongbo Zou, Pablo Laguna, Jeremy Logan, Matthew Kinsey, Scott Klasky:
A Maya use case: adaptable scientific workflows with ADIOS for general relativistic astrophysics. XSEDE 2013: 54:1-54:8 - 2012
- [c34]Roselyne Tchoua, Hasan Abbasi, Scott Klasky, Qing Liu, Norbert Podhorszki, David Pugmire, Yuan Tian, Matthew Wolf:
Collaborative monitoring and visualization of HPC data. CTS 2012: 397-403 - [c33]Jong Youl Choi, Hasan Abbasi, David Pugmire, Norbert Podhorszki, Scott Klasky, Cristian Capdevila, Manish Parashar, Matthew Wolf, Judy Qiu, Geoffrey C. Fox:
Mining hidden mixture context with ADIOS-P to improve predictive pre-fetcher accuracy. eScience 2012: 1-8 - [c32]Jeremy Logan, Scott Klasky, Hasan Abbasi, Qing Liu, George Ostrouchov, Manish Parashar, Norbert Podhorszki, Yuan Tian, Matthew Wolf:
Understanding I/O Performance Using I/O Skeletal Applications. Euro-Par 2012: 77-88 - [c31]Yuan Tian, Scott Klasky, Weikuan Yu, Hasan Abbasi, Bin Wang, Norbert Podhorszki, Ray W. Grout, Matthew Wolf:
A system-aware optimized data organization for efficient scientific analytics. HPDC 2012: 125-126 - [c30]Yuan Tian, Scott Klasky, Weikuan Yu, Hasan Abbasi, Bin Wang, Norbert Podhorszki, Ray W. Grout, Matthew Wolf:
SMART-IO: SysteM-AwaRe Two-Level Data Organization for Efficient Scientific Analytics. MASCOTS 2012: 181-188 - [c29]Chengwei Wang, Infantdani Abel Rayan, Greg Eisenhauer, Karsten Schwan, Vanish Talwar, Matthew Wolf, Chad Huneycutt:
VScope: Middleware for Troubleshooting Time-Sensitive Data Center Applications. Middleware 2012: 121-141 - [c28]Hongbo Zou, Fang Zheng, Matthew Wolf, Greg Eisenhauer, Karsten Schwan, Hasan Abbasi, Qing Liu, Norbert Podhorszki, Scott Klasky:
Quality-Aware Data Management for Large Scale Scientific Applications. SC Companion 2012: 816-820 - [c27]Richard A. Brown, Elizabeth Shoop, Joel C. Adams, David P. Bunde, Jens Mache, Paul F. Steinberg, Matthew Wolf, Michael Wrinn:
Sharing incremental approaches for adding parallelism to CS curricula (abstract only). SIGCSE 2012: 747 - [p2]Hank Childs, Kwan-Liu Ma, Hongfeng Yu, Brad Whitlock, Jeremy S. Meredith, Jean M. Favre, Scott Klasky, Norbert Podhorszki, Karsten Schwan, Matthew Wolf, Manish Parashar, Fan Zhang:
In Situ Processing. High Performance Visualization 2012 - 2011
- [j4]Patrick M. Widener, Matthew Wolf, Hasan Abbasi, Scott McManus, Mary Payne, Matthew J. Barrick, Jack Pulikottil, Patrick G. Bridges, Karsten Schwan:
Exploiting Latent I/O Asynchrony in Petascale Science Applications. Int. J. High Perform. Comput. Appl. 25(2): 161-179 (2011) - [c26]Greg Eisenhauer, Matthew Wolf, Hasan Abbasi, Scott Klasky, Karsten Schwan:
A Type System for High Performance Communication and Computation. e-Science Workshops 2011: 183-190 - [c25]Jeremy Logan, Scott Klasky, Jay F. Lofstead, Hasan Abbasi, Stéphane Ethier, Ray W. Grout, Seung-Hoe Ku, Qing Liu, Xiaosong Ma, Manish Parashar, Norbert Podhorszki, Karsten Schwan, Matthew Wolf:
Skel: Generative Software for Producing Skeletal I/O Applications. e-Science Workshops 2011: 191-198 - [c24]Hasan Abbasi, Greg Eisenhauer, Matthew Wolf, Karsten Schwan, Scott Klasky:
Just in time: adding value to the IO pipelines of high performance applications with JITStaging. HPDC 2011: 27-36 - [c23]Jay F. Lofstead, Milo Polte, Garth A. Gibson, Scott Klasky, Karsten Schwan, Ron A. Oldfield, Matthew Wolf, Qing Liu:
Six degrees of scientific data: reading patterns for extreme scale science IO. HPDC 2011: 49-60 - [c22]Chengwei Wang, Karsten Schwan, Vanish Talwar, Greg Eisenhauer, Liting Hu, Matthew Wolf:
A flexible architecture integrating monitoring and analytics for managing large-scale data centers. ICAC 2011: 141-150 - 2010
- [j3]Hasan Abbasi, Matthew Wolf, Greg Eisenhauer, Scott Klasky, Karsten Schwan, Fang Zheng:
DataStager: scalable data staging services for petascale applications. Clust. Comput. 13(3): 277-290 (2010) - [c21]Mahendra Kutare, Greg Eisenhauer, Chengwei Wang, Karsten Schwan, Vanish Talwar, Matthew Wolf:
Monalytics: online monitoring and analytics for managing large scale data centers. ICAC 2010: 141-150 - [c20]Karsten Schwan, Greg Eisenhauer, Ada Gavrilovska, Matthew Wolf, Vanish Talwar:
Managing large-scale utility cloud. IPDPS Workshops 2010: 1 - [c19]Fang Zheng, Hasan Abbasi, Ciprian Docan, Jay F. Lofstead, Qing Liu, Scott Klasky, Manish Parashar, Norbert Podhorszki, Karsten Schwan, Matthew Wolf:
PreDatA - preparatory data analytics on peta-scale machines. IPDPS 2010: 1-12 - [c18]Jay F. Lofstead, Fang Zheng, Qing Liu, Scott Klasky, Ron A. Oldfield, Todd Kordenbrock, Karsten Schwan, Matthew Wolf:
Managing Variability in the IO Performance of Petascale Storage Systems. SC 2010: 1-12
2000 – 2009
- 2009
- [c17]Hasan Abbasi, Jay F. Lofstead, Fang Zheng, Karsten Schwan, Matthew Wolf, Scott Klasky:
Extending I/O through high performance data services. CLUSTER 2009: 1-10 - [c16]Greg Eisenhauer, Matthew Wolf, Hasan Abbasi, Karsten Schwan:
Event-based systems: opportunities and challenges at exascale. DEBS 2009 - [c15]Hasan Abbasi, Matthew Wolf, Greg Eisenhauer, Scott Klasky, Karsten Schwan, Fang Zheng:
DataStager: scalable data staging services for petascale applications. HPDC 2009: 39-48 - [c14]Patrick M. Widener, Mary Payne, Patrick G. Bridges, Matthew Wolf, Hasan Abbasi, Scott McManus, Karsten Schwan:
Exploiting Latent I/O Asynchrony in Petascale Science Applications. ICPP Workshops 2009: 105-112 - [c13]Norbert Podhorszki, Scott Klasky, Qing Liu, Ciprian Docan, Manish Parashar, Hasan Abbasi, Jay F. Lofstead, Karsten Schwan, Matthew Wolf, Fang Zheng, Julian Cummings:
Plasma fusion code coupling using scalable I/O services and scientific workflows. SC-WORKS 2009 - [p1]Scott Klasky, Hasan Abbasi, Viraj Bhat, Ciprian Docan, Steve Hodson, Chen Jin, Jay F. Lofstead, Manish Parashar, Karsten Schwan, Matthew Wolf:
High Throughput Data Movement. Scientific Data Management 2009 - 2008
- [c12]Mary Payne, Patrick M. Widener, Matthew Wolf, Hasan Abbasi, Scott McManus, Patrick G. Bridges, Karsten Schwan:
Exploiting Latent I/O Asynchrony in Petascale Science Applications. eScience 2008: 410-411 - 2007
- [c11]Hasan Abbasi, Matthew Wolf, Karsten Schwan:
LIVE data workspace: A flexible, dynamic and extensible platform for petascale applications. CLUSTER 2007: 341-348 - [c10]Hasan Abbasi, Matthew Wolf, Karsten Schwan:
LIVE: : a light-weight data workspace for computational science. HPDC 2007: 227-228 - 2006
- [j2]Zhongtang Cai, Greg Eisenhauer, Qi He, Vibhore Kumar, Karsten Schwan, Matthew Wolf:
IQ-Services: network-aware middleware for interactive large-data applications. Concurr. Comput. Pract. Exp. 18(6): 635-652 (2006) - 2005
- [c9]Matthew Wolf, Hasan Abbasi, Benjamin Collins, David Spain, Karsten Schwan:
Service Augmentation for High End Interactive Data Services. CLUSTER 2005: 1-11 - 2004
- [c8]Hasan Abbasi, Matthew Wolf, Karsten Schwan, Greg Eisenhauer, A. Hilton:
XChange: coupling parallel applications in a dynamic environment. CLUSTER 2004: 471-480 - [c7]Mohamed S. Mansour, Matthew Wolf, Karsten Schwan:
StreamGen: A Workload Generation Tool for Distributed Information Flow Applications. ICPP 2004: 55-62 - [c6]Zhongtang Cai, Greg Eisenhauer, Christian Poellabauer, Karsten Schwan, Matthew Wolf:
IQ-Services: Resource-Aware Middleware for Heterogeneous Applications. IPDPS 2004 - [c5]Mohamed S. Mansour, Matthew Wolf, Karsten Schwan:
Dynamic Data Access to the GT/CERCS Linux Mirror Site. IPDPS 2004 - [c4]Zhongtang Cai, Greg Eisenhauer, Qi He, Vibhore Kumar, Karsten Schwan, Matthew Wolf:
IQ-services: network-aware middleware for interactive large-data applications. Middleware for Grid Computing 2004: 11-16 - 2003
- [j1]Sandip Agarwala, Christian Poellabauer, Jiantao Kong, Karsten Schwan, Matthew Wolf:
System-Level Resource Monitoring in High-Performance Computing Environments. J. Grid Comput. 1(3): 273-289 (2003) - [c3]Sandip Agarwala, Christian Poellabauer, Jiantao Kong, Karsten Schwan, Matthew Wolf:
Resource-Aware Stream Management with the Customizable dproc Distributed Monitoring Mechanisms. HPDC 2003: 250-259 - 2002
- [c2]Jasmina Jancic, Christian Poellabauer, Karsten Schwan, Matthew Wolf, Neil Bright:
dproc - Extensible Run-Time Resource Monitoring for Cluster Applications. International Conference on Computational Science (2) 2002: 894-903 - [c1]Matthew Wolf, Zhongtang Cai, Weiyun Huang, Karsten Schwan:
SmartPointers: personalized scientific data portals in your hand. SC 2002: 32:1-32:16
Coauthor Index
aka: Jong Youl Choi
aka: Dave Pugmire
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