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2024
[c177]
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  - conf/ccgrid/CernudaLGKLKS24
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Jaime Cernuda, Luke Logan, Ana Gainaru, Scott Klasky, Jay F. Lofstead, Anthony Kougkas, Xian-He Sun:
Hades: A Context-Aware Active Storage Framework for Accelerating Large-Scale Data Analysis. CCGrid 2024: 577-586
[c176]
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Xiao Li, Qian Gong, Jaemoon Lee, Scott Klasky, Anand Rangarajan, Sanjay Ranka:
Hybrid Approaches for Data Reduction of Spatiotemporal Scientific Applications. DCC 2024: 567
[c175]
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  - conf/eScience/GongWRLCLAJRRPAK24
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Qian Gong, Zhe Wang, Viktor Reshniak, Xin Liang, Jieyang Chen, Qing Liu, Tushar M. Athawale, Yi Ju, Anand Rangarajan, Sanjay Ranka, Norbert Podhorszki, Rick Archibald, Scott Klasky:
A General Framework for Error-controlled Unstructured Scientific Data Compression. e-Science 2024: 1-10
[c174]
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  - conf/eScience/HammerHPKMH24
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James Hammer, Tanner Hobson, David Pugmire, Scott Klasky, Kenneth Moreland, Jian Huang:
A Personalized AI Assistant For Intuition-Driven Visual Explorations. e-Science 2024: 1-10
[c173]
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  - conf/eScience/SuterPK24
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Frédéric Suter, Norbert Podhorszki, Scott Klasky:
Towards Resilient Near Real-Time Analysis Workflows in Fusion Energy Science. e-Science 2024: 1-6
[c172]
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  - conf/ipps/MehtaPIYSGK24
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Kshitij Mehta, Massimiliano Lupo Pasini, Stephan Irle, Pilsun Yoo, Frédéric Suter, Dmitry Ganyushin, Scott Klasky:
Scaling Ensembles of Data-Intensive Quantum Chemical Calculations for Millions of Molecules. IPDPS (Workshops) 2024: 1047-1056
[c171]
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Ranjan Sarpangala Venkatesh, Greg Eisenhauer, Norbert Podhorszki, Dmitry Ganyushin, Scott Klasky, Ada Gavrilovska:
Optimizing Metadata Exchange: Leveraging DAOS for ADIOS Metadata I/O. ISC 2024: 1-12
[i19]
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  - journals/corr/abs-2401-03317
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Qian Gong, Chengzhu Zhang, Xin Liang, Viktor Reshniak, Jieyang Chen, Anand Rangarajan, Sanjay Ranka, Nicolas Vidal, Lipeng Wan, Paul Ullrich, Norbert Podhorszki, Robert Jacob, Scott Klasky:
Spatiotemporally adaptive compression for scientific dataset with feature preservation - a case study on simulation data with extreme climate events analysis. CoRR abs/2401.03317 (2024)
[i18]
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  - journals/corr/abs-2401-05994
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Qian Gong, Jieyang Chen, Ben Whitney, Xin Liang, Viktor Reshniak, Tania Banerjee, Jaemoon Lee, Anand Rangarajan, Lipeng Wan, Nicolas Vidal, Qing Liu, Ana Gainaru, Norbert Podhorszki, Richard Archibald, Sanjay Ranka, Scott Klasky:
MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring. CoRR abs/2401.05994 (2024)
[i17]
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  - journals/corr/abs-2404-18063
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Jaemoon Lee, Ki Sung Jung, Qian Gong, Xiao Li, Scott Klasky, Jacqueline Chen, Anand Rangarajan, Sanjay Ranka:
Machine Learning Techniques for Data Reduction of CFD Applications. CoRR abs/2404.18063 (2024)
[i16]
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  - journals/corr/abs-2405-00879
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Xiao Li, Qian Gong, Jaemoon Lee, Scott Klasky, Anand Rangarajan, Sanjay Ranka:
Machine Learning Techniques for Data Reduction of Climate Applications. CoRR abs/2405.00879 (2024)
[i15]
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  - journals/corr/abs-2407-18015
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Tushar M. Athawale, Zhe Wang, David Pugmire, Kenneth Moreland, Qian Gong, Scott Klasky, Christopher R. Johnson, Paul Rosen:
Uncertainty Visualization of Critical Points of 2D Scalar Fields for Parametric and Nonparametric Probabilistic Models. CoRR abs/2407.18015 (2024)
[i14]
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  - journals/corr/abs-2408-02869
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Jeremy J. Williams, Daniel Medeiros, Stefan Costea, David Tskhakaya, Franz Poeschel, René Widera, Axel Huebl, Scott Klasky, Norbert Podhorszki, Leon Kos, Ales Podolnik, Jakub Hromadka, Tapish Narwal, Klaus Steiniger, Michael Bussmann, Erwin Laure, Stefano Markidis:
Enabling High-Throughput Parallel I/O in Particle-in-Cell Monte Carlo Simulations with openPMD and Darshan I/O Monitoring. CoRR abs/2408.02869 (2024)
[i13]
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  - journals/corr/abs-2408-07212
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Viktor Reshniak, Evan Ferguson, Qian Gong, Nicolas Vidal, Rick Archibald, Scott Klasky:
Lifting MGARD: construction of (pre)wavelets on the interval using polynomial predictors of arbitrary order. CoRR abs/2408.07212 (2024)
[i12]
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  - journals/corr/abs-2410-00178
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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
[j45]
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  - journals/softx/GongCWLRBLRWVLGPARK23
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Qian Gong, Jieyang Chen, Ben Whitney, Xin Liang, Viktor Reshniak, Tania Banerjee, Jaemoon Lee, Anand Rangarajan, Lipeng Wan, Nicolas Vidal, Qing Liu, Ana Gainaru, Norbert Podhorszki, Richard Archibald, Sanjay Ranka, Scott Klasky:
MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring. SoftwareX 24: 101590 (2023)
[c170]
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  - conf/cluster/WangWKZY23
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Xinying Wang, Lipeng Wan, Scott Klasky, Dongfang Zhao, Feng Yan:
SciLance: Mitigate Load Imbalance for Parallel Scientific Applications in Cloud Environments. CLUSTER 2023: 49-59
[c169]
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  - conf/eScience/BanerjeeLCGCCKRR23
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Tania Banerjee, Jaemoon Lee, Jong Choi, Qian Gong, Jieyang Chen, Choong-Seock Chang, Scott Klasky, Anand Rangarajan, Sanjay Ranka:
Online and Scalable Data Compression Pipeline with Guarantees on Quantities of Interest. e-Science 2023: 1-10
[c168]
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Qian Gong, Chengzhu Zhang, Xin Liang, Viktor Reshniak, Jieyang Chen, Anand Rangarajan, Sanjay Ranka, Nicolas Vidal, Lipeng Wan, Paul Ullrich, Norbert Podhorszki, Robert Jacob, Scott Klasky:
Spatiotemporally Adaptive Compression for Scientific Dataset with Feature Preservation - A Case Study on Simulation Data with Extreme Climate Events Analysis. e-Science 2023: 1-10
[c167]
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  - conf/eScience/SuterSGK23
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Frédéric Suter, Rafael Ferreira da Silva, Ana Gainaru, Scott Klasky:
Driving Next-Generation Workflows from the Data Plane. e-Science 2023: 1-10
[c166]
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  - conf/hipc/BanerjeeLCGCKRR23
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Tania Banerjee, Jaemoon Lee, Jong Choi, Qian Gong, Jieyang Chen, Scott Klasky, Anand Rangarajan, Sanjay Ranka:
Fast Algorithms for Scientific Data Compression. HiPC 2023: 143-152
[c165]
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  - conf/hpcc/TrinhSGDCWPK0W23
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Andy Trinh, Shivam Sheth, Anil Gaihre, Caiwen Ding, Jieyang Chen, Feiyi Wang, David Pugmire, Scott Klasky, Hang Liu, Lipeng Wan:
Understanding Node Allocation on Leadership-Class Supercomputers with Graph Analytics. HPCC/DSS/SmartCity/DependSys 2023: 780-787
[c164]
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Lipeng Wan, Jieyang Chen, Xin Liang, Ana Gainaru, Qian Gong, Qing Liu, Ben Whitney, Joy Arulraj, Zhengchun Liu, Ian T. Foster, Scott Klasky:
RAPIDS: Reconciling Availability, Accuracy, and Performance in Managing Geo-Distributed Scientific Data. HPDC 2023: 87-100
[c163]
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  - conf/icde/Wang0WCGHWKPL23
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Jinzhen Wang, Xin Liang, Ben Whitney, Jieyang Chen, Qian Gong, Xubin He, Lipeng Wan, Scott Klasky, Norbert Podhorszki, Qing Liu:
Improving Progressive Retrieval for HPC Scientific Data using Deep Neural Network. ICDE 2023: 2727-2739
[c162]
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  - conf/sc/VenkateshEKG23
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Ranjan Sarpangala Venkatesh, Greg Eisenhauer, Scott Klasky, Ada Gavrilovska:
Enhancing Metadata Transfer Efficiency: Unlocking the Potential of DAOS in the ADIOS context. SC Workshops 2023: 1223-1228
[i11]
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  - journals/corr/abs-2311-01288
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Junmin Gu, Paul Lin, Kesheng Wu, Seung-Hoe Ku, Choong-Seock Chang, Randy Michael Churchill, Jong Choi, Norbert Podhorszki, Scott Klasky:
Unraveling Diffusion in Fusion Plasma: A Case Study of In Situ Processing and Particle Sorting. CoRR abs/2311.01288 (2023)
2022
[j44]
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  - journals/concurrency/MehtaAWLSSCTHYS22
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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)
[j43]
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  - journals/ijhpca/SuchytaKPWACCDD22
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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)
[j42]
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  - journals/jpdc/HuangQLPK22
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Dan Huang, Zhenlu Qin, Qing Liu, Norbert Podhorszki, Scott Klasky:
Identifying challenges and opportunities of in-memory computing on large HPC systems. J. Parallel Distributed Comput. 164: 106-122 (2022)
[j41]
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  - journals/tc/LiangWCWLTKPWPK22
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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)
[j40]
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  - journals/tpds/WanHGPGWCLGMFVP22
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Lipeng Wan, Axel Huebl, Junmin Gu, Franz Poeschel, Ana Gainaru, Ruonan Wang, Jieyang Chen, Xin Liang, Dmitry Ganyushin, Todd S. Munson, Ian T. Foster, Jean-Luc Vay, Norbert Podhorszki, Kesheng Wu, Scott Klasky:
Improving I/O Performance for Exascale Applications Through Online Data Layout Reorganization. IEEE Trans. Parallel Distributed Syst. 33(4): 878-890 (2022)
[j39]
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Ana Gainaru, Lipeng Wan, Ruonan Wang, Eric Suchyta, Jieyang Chen, Norbert Podhorszki, James Kress, David Pugmire, Scott Klasky:
Understanding the Impact of Data Staging for Coupled Scientific Workflows. IEEE Trans. Parallel Distributed Syst. 33(10): 4134-4147 (2022)
[j38]
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  - journals/tpds/LuoWLCKP22
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Huizhang Luo, Junqi Wang, Qing Liu, Jieyang Chen, Scott Klasky, Norbert Podhorszki:
zMesh: Theories and Methods to Exploring Application Characteristics to Improve Lossy Compression Ratio for Adaptive Mesh Refinement. IEEE Trans. Parallel Distributed Syst. 33(12): 3702-3717 (2022)
[c161]
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  - conf/cluster/SuchytaCKPGHKSS22
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Eric Suchyta, Jong Youl Choi, Seung-Hoe Ku, David Pugmire, Ana Gainaru, Kevin A. Huck, Ralph Kube, Aaron Scheinberg, Frédéric Suter, Choong-Seock Chang, Todd S. Munson, Norbert Podhorszki, Scott Klasky:
Hybrid Analysis of Fusion Data for Online Understanding of Complex Science on Extreme Scale Computers. CLUSTER 2022: 218-229
[c160]
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  - conf/eScience/MehtaCSWWJK22
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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
[c159]
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  - conf/hipc/BanerjeeCLGWKRR22
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Tania Banerjee, Jong Choi, Jaemoon Lee, Qian Gong, Ruonan Wang, Scott Klasky, Anand Rangarajan, Sanjay Ranka:
An Algorithmic and Software Pipeline for Very Large Scale Scientific Data Compression with Error Guarantees. HIPC 2022: 226-235
[c158]
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  - conf/ipps/BeheraW0WK22
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Subhendu Behera, Lipeng Wan, Frank Mueller, Matthew Wolf, Scott Klasky:
P-ckpt: Coordinated Prioritized Checkpointing. IPDPS 2022: 436-446
[c157]
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  - conf/ssdbm/GongWZ00CWULJRK22
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Qian Gong, Ben Whitney, Chengzhu Zhang, Xin Liang, Anand Rangarajan, Jieyang Chen, Lipeng Wan, Paul Ullrich, Qing Liu, Robert Jacob, Sanjay Ranka, Scott Klasky:
Region-adaptive, Error-controlled Scientific Data Compression using Multilevel Decomposition. SSDBM 2022: 5:1-5:12
[c156]
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  - conf/ssdbm/GuEKPWW22
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Junmin Gu, Greg Eisenhauer, Scott Klasky, Norbert Podhorszki, Ruonan Wang, Kesheng Wu:
Exploring Large All-Flash Storage System with Scientific Simulation. SSDBM 2022: 23:1-23:4
[c155]
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  - conf/supercomputer/PugmireHMK22
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David Pugmire, Jian Huang, Kenneth Moreland, Scott Klasky:
The Need for Pervasive In Situ Analysis and Visualization (P-ISAV). ISC Workshops 2022: 306-316
[i10]
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  - journals/corr/abs-2212-10733
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Tania Banerjee, Jong Choi, Jaemoon Lee, Qian Gong, Jieyang Chen, Scott Klasky, Anand Rangarajan, Sanjay Ranka:
Scalable Hybrid Learning Techniques for Scientific Data Compression. CoRR abs/2212.10733 (2022)
2021
[j37]
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  - journals/ijhpca/FosterABCCDDGGH21
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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)
[c154]
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  - conf/ipps/LuoW0CKP21
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Huizhang Luo, Junqi Wang, Qing Liu, Jieyang Chen, Scott Klasky, Norbert Podhorszki:
zMesh: Exploring Application Characteristics to Improve Lossy Compression Ratio for Adaptive Mesh Refinement. IPDPS 2021: 402-411
[c153]
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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
[c152]
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Xinying Wang, Lipeng Wan, Jieyang Chen, Qian Gong, Ben Whitney, Jinzhen Wang, Ana Gainaru, Qing Liu, Norbert Podhorszki, Dongfang Zhao, Feng Yan, Scott Klasky:
Unbalanced Parallel I/O: An Often-Neglected Side Effect of Lossy Scientific Data Compression. DRBSD@SC 2021: 26-32
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  - conf/sc/0001GCWW0PAPK21
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Xin Liang, Qian Gong, Jieyang Chen, Ben Whitney, Lipeng Wan, Qing Liu, David Pugmire, Rick Archibald, Norbert Podhorszki, Scott Klasky:
Error-controlled, progressive, and adaptable retrieval of scientific data with multilevel decomposition. SC 2021: 88
[c150]
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  - conf/smc2/Gong0WCCWEKCCAT21
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Qian Gong, Xin Liang, Ben Whitney, Jong Youl Choi, Jieyang Chen, Lipeng Wan, Stéphane Ethier, Seung-Hoe Ku, Randy Michael Churchill, Choong-Seock Chang, Mark Ainsworth, Ozan Tugluk, Todd S. Munson, David Pugmire, Richard Archibald, Scott Klasky:
Maintaining Trust in Reduction: Preserving the Accuracy of Quantities of Interest for Lossy Compression. SMC 2021: 22-39
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  - conf/smc2/PoeschelEGPKEDW21
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Franz Poeschel, Juncheng E, William F. Godoy, Norbert Podhorszki, Scott Klasky, Greg Eisenhauer, Philip E. Davis, Lipeng Wan, Ana Gainaru, Junmin Gu, Fabian Koller, René Widera, Michael Bussmann, Axel Huebl:
Transitioning from File-Based HPC Workflows to Streaming Data Pipelines with openPMD and ADIOS2. SMC 2021: 99-118
[c148]
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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
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David Pugmire, Caitlin Ross, Nicholas Thompson, James Kress, Chuck Atkins, Scott Klasky, Berk Geveci:
Fides: A General Purpose Data Model Library for Streaming Data. ISC Workshops 2021: 495-507
[i9]
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  - journals/corr/abs-2105-12764
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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)
[i8]
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  - journals/corr/abs-2107-06108
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Franz Poeschel, Juncheng E, William F. Godoy, Norbert Podhorszki, Scott Klasky, Greg Eisenhauer, Philip E. Davis, Lipeng Wan, Ana Gainaru, Junmin Gu, Fabian Koller, René Widera, Michael Bussmann, Axel Huebl:
Transitioning from file-based HPC workflows to streaming data pipelines with openPMD and ADIOS2. CoRR abs/2107.06108 (2021)
[i7]
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Lipeng Wan, Axel Huebl, Junmin Gu, Franz Poeschel, Ana Gainaru, Ruonan Wang, Jieyang Chen, Xin Liang, Dmitry Ganyushin, Todd S. Munson, Ian T. Foster, Jean-Luc Vay, Norbert Podhorszki, Kesheng Wu, Scott Klasky:
Improving I/O Performance for Exascale Applications through Online Data Layout Reorganization. CoRR abs/2107.07108 (2021)
2020
[j36]
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  - journals/debu/LoganAACCGKEGGK20
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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)
[j35]
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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)
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André Brinkmann, Kathryn M. Mohror, Weikuan Yu, Philip H. Carns, Toni Cortes, Scott Klasky, Alberto Miranda, Franz-Josef Pfreundt, Robert B. Ross, Marc-Andre Vef:
Ad Hoc File Systems for High-Performance Computing. J. Comput. Sci. Technol. 35(1): 4-26 (2020)
[j33]
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Mark Ainsworth, Ozan Tugluk, Ben Whitney, Scott Klasky:
Multilevel Techniques for Compression and Reduction of Scientific Data - The Unstructured Case. SIAM J. Sci. Comput. 42(2): A1402-A1427 (2020)
[j32]
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  - journals/softx/GodoyPWAEGDCGHH20
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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)
[j31]
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Bing Xie, Sarp Oral, Christopher Zimmer, Jong Youl Choi, David Dillow, Scott Klasky, Jay F. Lofstead, Norbert Podhorszki, Jeffrey S. Chase:
Characterizing Output Bottlenecks of a Production Supercomputer: Analysis and Implications. ACM Trans. Storage 15(4): 26:1-26:39 (2020)
[c146]
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Subhendu Behera, Lipeng Wan, Frank Mueller, Matthew Wolf, Scott Klasky:
Orchestrating Fault Prediction with Live Migration and Checkpointing. HPDC 2020: 167-171
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  - conf/icdcs/HuangQLPK20
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Dan Huang, Zhenlu Qin, Qing Liu, Norbert Podhorszki, Scott Klasky:
A Comprehensive Study of In-Memory Computing on Large HPC Systems. ICDCS 2020: 987-997
[c144]
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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
[c143]
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  - conf/ldav/KressLCKWPKCP20
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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
[c142]
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Ruonan Wang, Rodrigo Tobar, Markus Dolensky, Tao An, Andreas Wicenec, Chen Wu, Fred Dulwich, Norbert Podhorszki, Valentine Anantharaj, Eric Suchyta, Bao-qiang Lao, Scott Klasky:
Processing full-scale square kilometre array data on the summit supercomputer. SC 2020: 2
[c141]
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  - conf/sc/Qiao0PKC20
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Zhenbo Qiao, Qing Liu, Norbert Podhorszki, Scott Klasky, Jieyang Chen:
Taming I/O variation on QoS-less HPC storage: what can applications do? SC 2020: 11
[c140]
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  - conf/sc/KubeCCWCKC20
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Ralph Kube, Randy Michael Churchill, Jong Choi, Ruonan Wang, Minjun Choi, Scott Klasky, Choong-Seock Chang:
Near real-time analysis of big fusion data on HPC systems. UrgentHPC@SC 2020: 55-63
[c139]
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Ralph Kube, Randy Michael Churchill, Jong Youl Choi, Ruonan Wang, Scott Klasky, CS Chang, Minjun J. Choi, Jinseop Park:
Leading magnetic fusion energy science into the big-and-fast data lane. SciPy 2020: 140-147
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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
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  - conf/smc2/ChurchillCKCK20
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Randy Michael Churchill, Jong Choi, Ralph Kube, Choong-Seock Chang, Scott Klasky:
Machine Learning for the Complex, Multi-scale Datasets in Fusion Energy. SMC 2020: 269-284
[c136]
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  - conf/smc2/ChoiWCKCPLMEPWC20
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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
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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
[i6]
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  - journals/corr/abs-2005-05424
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Nicholas Thompson, John Maddock, George Ostrouchov, Jeremy Logan, David Pugmire, Scott Klasky:
Towards 1ULP evaluation of Daubechies Wavelets. CoRR abs/2005.05424 (2020)
[i5]
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  - journals/corr/abs-2007-04457
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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)
[i4]
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  - journals/corr/abs-2010-05872
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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

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2019
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Mark Ainsworth, Ozan Tugluk, Ben Whitney, Scott Klasky:
Multilevel Techniques for Compression and Reduction of Scientific Data - The Multivariate Case. SIAM J. Sci. Comput. 41(2): A1278-A1303 (2019)
[j29]
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Mark Ainsworth, Ozan Tugluk, Ben Whitney, Scott Klasky:
Multilevel Techniques for Compression and Reduction of Scientific Data-Quantitative Control of Accuracy in Derived Quantities. SIAM J. Sci. Comput. 41(4): A2146-A2171 (2019)
[j28]
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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)
[j27]
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Dan Huang, Qing Liu, Scott Klasky, Jun Wang, Jong Youl Choi, Jeremy Logan, Norbert Podhorszki:
Harnessing Data Movement in Virtual Clusters for In-Situ Execution. IEEE Trans. Parallel Distributed Syst. 30(3): 615-629 (2019)
[c134]
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  - conf/eScience/WolfDMCEEHKLMW19
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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
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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
[c132]
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  - conf/sc/MehtaFKAWLSCTYM19
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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
[c131]
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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
[j26]
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Mark Ainsworth, Ozan Tugluk, Ben Whitney, Scott Klasky:
Multilevel techniques for compression and reduction of scientific data - the univariate case. Comput. Vis. Sci. 19(5-6): 65-76 (2018)
[j25]
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  - journals/tmscs/QiaoLLLKPW18
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Zhenbo Qiao, Tao Lu, Huizhang Luo, Qing Liu, Scott Klasky, Norbert Podhorszki, Jinzhen Wang:
SIRIUS: Enabling Progressive Data Exploration for Extreme-Scale Scientific Data. IEEE Trans. Multi Scale Comput. Syst. 4(4): 900-913 (2018)
[c130]
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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
[c129]
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  - conf/egpgv/KimKP18
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Mark Kim, Scott Klasky, David Pugmire:
Dense Texture Flow Visualization using Data-Parallel Primitives. EGPGV@EuroVis 2018: 57-61
[c128]
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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
[c127]
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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
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Pradeep Subedi, Philip E. Davis, Shaohua Duan, Scott Klasky, Hemanth Kolla, Manish Parashar:
Stacker: an autonomic data movement engine for extreme-scale data staging-based in-situ workflows. SC 2018: 73:1-73:11
[c125]
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Junmin Gu, Scott Klasky, Norbert Podhorszki, Ji Qiang, Kesheng Wu:
Querying Large Scientific Data Sets with Adaptable IO System ADIOS. SCFA 2018: 51-69
[c124]
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James Kress, Jong Choi, Scott Klasky, Michael Churchill, Hank Childs, David Pugmire:
Binning Based Data Reduction for Vector Field Data of a Particle-In-Cell Fusion Simulation. ISC Workshops 2018: 215-229
[c123]
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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
2017
[j24]
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Fan Zhang, Tong Jin, Qian Sun, Melissa Romanus, Hoang Bui, Scott Klasky, Manish Parashar:
In-memory staging and data-centric task placement for coupled scientific simulation workflows. Concurr. Comput. Pract. Exp. 29(12) (2017)
[j23]
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Mark Ainsworth, Scott Klasky, Ben Whitney:
Compression Using Lossless Decimation: Analysis and Application. SIAM J. Sci. Comput. 39(4) (2017)
[j22]
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Yang Chen, Xiaoyan Sun, Dunwei Gong, Yong Zhang, Jong Choi, Scott Klasky:
Personalized Search Inspired Fast Interactive Estimation of Distribution Algorithm and Its Application. IEEE Trans. Evol. Comput. 21(4): 588-600 (2017)
[c122]
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Tzu-Hsien Wu, Jerry Chi-Yuan Chou, Norbert Podhorszki, Junmin Gu, Yuan Tian, Scott Klasky, Kesheng Wu:
Apply Block Index Technique to Scientific Data Analysis and I/O Systems. CCGrid 2017: 865-871
[c121]
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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
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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
[c119]
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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
[c118]
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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
[c117]
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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
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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
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Bing Xie, Yezhou Huang, Jeffrey S. Chase, Jong Youl Choi, Scott Klasky, Jay F. Lofstead, Sarp Oral:
Predicting Output Performance of a Petascale Supercomputer. HPDC 2017: 181-192
[c114]
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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
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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
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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
[c111]
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Yuhua Guo, Qing Liu, Weijun Xiao, Ping Huang, Norbert Podhorszki, Scott Klasky, Xubin He:
SELF: A High Performance and Bandwidth Efficient Approach to Exploiting Die-Stacked DRAM as Part of Memory. MASCOTS 2017: 187-197
[c110]
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Mark Kim, Tom Evans, Scott Klasky, David Pugmire:
In Situ Visualization of Radiation Transport Geometry. ISAV@SC 2017: 7-11
[c109]
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Tzu-Hsien Wu, Jerry Chi-Yuan Chou, Shyng Hao, Bin Dong, Scott Klasky, Kesheng Wu:
Optimizing the query performance of block index through data analysis and I/O modeling. SC 2017: 12
[c108]
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Axel Huebl, René Widera, Felix Schmitt, Alexander Matthes, Norbert Podhorszki, Jong Youl Choi, Scott Klasky, Michael Bussmann:
On the Scalability of Data Reduction Techniques in Current and Upcoming HPC Systems from an Application Perspective. ISC Workshops 2017: 15-29
[c107]
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Bing Xie, Jeffrey S. Chase, David Dillow, Scott Klasky, Jay F. Lofstead, Sarp Oral, Norbert Podhorszki:
Output Performance Study on a Production Petascale Filesystem. ISC Workshops 2017: 187-200
[i3]
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Axel Huebl, René Widera, Felix Schmitt, Alexander Matthes, Norbert Podhorszki, Jong Youl Choi, Scott Klasky, Michael Bussmann:
On the Scalability of Data Reduction Techniques in Current and Upcoming HPC Systems from an Application Perspective. CoRR abs/1706.00522 (2017)
2016
[j21]
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Andrew C. Bauer, Hasan Abbasi, James P. Ahrens, Hank Childs, Berk Geveci, Scott Klasky, Kenneth Moreland, Patrick O'Leary, Venkatram Vishwanath, Brad Whitlock, E. Wes Bethel:
In Situ Methods, Infrastructures, and Applications on High Performance Computing Platforms. Comput. Graph. Forum 35(3): 577-597 (2016)
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Stephen Herbein, Sean McDaniel, Norbert Podhorszki, Jeremy Logan, Scott Klasky, Michela Taufer:
Performance characterization of irregular I/O at the extreme scale. Parallel Comput. 51: 17-36 (2016)
[j19]
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James Kress, Randy Michael Churchill, Scott Klasky, Mark Kim, Hank Childs, David Pugmire:
Preparing for In Situ Processing on Upcoming Leading-edge Supercomputers. Supercomput. Front. Innov. 3(4): 49-65 (2016)
[j18]
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Lingfei Wu, K. John Wu, Alex Sim, Michael Churchill, Jong Youl Choi, Andreas Stathopoulos, Choong-Seock Chang, Scott Klasky:
Towards Real-Time Detection and Tracking of Spatio-Temporal Features: Blob-Filaments in Fusion Plasma. IEEE Trans. Big Data 2(3): 262-275 (2016)
[c106]
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Wenzhao Zhang, Houjun Tang, Stephen Ranshous, Surendra Byna, Daniel F. Martin, Kesheng Wu, Bin Dong, Scott Klasky, Nagiza F. Samatova:
Exploring memory hierarchy and network topology for runtime AMR data sharing across scientific applications. IEEE BigData 2016: 1359-1366
[c105]
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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
[c104]
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Wenzhao Zhang, Houjun Tang, Steve Harenberg, Surendra Byna, Xiaocheng Zou, Dharshi Devendran, Daniel F. Martin, Kesheng Wu, Bin Dong, Scott Klasky, Nagiza F. Samatova:
AMRZone: A Runtime AMR Data Sharing Framework for Scientific Applications. CCGrid 2016: 116-125
[c103]
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Houjun Tang, Surendra Byna, Steve Harenberg, Xiaocheng Zou, Wenzhao Zhang, Kesheng Wu, Bin Dong, Oliver Rübel, Kristofer E. Bouchard, Scott Klasky, Nagiza F. Samatova:
Usage Pattern-Driven Dynamic Data Layout Reorganization. CCGrid 2016: 356-365
[c102]
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Melissa Romanus, Fan Zhang, Tong Jin, Qian Sun, Hoang Bui, Manish Parashar, Jong Youl Choi, Saloman Janhunen, Robert Hager, Scott Klasky, Choong-Seock Chang, Ivan Rodero:
Persistent Data Staging Services for Data Intensive In-situ Scientific Workflows. DIDC@HPDC 2016: 37-44
[c101]
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Houjun Tang, Suren Byna, Steve Harenberg, Wenzhao Zhang, Xiaocheng Zou, Daniel F. Martin, Bin Dong, Dharshi Devendran, Kesheng Wu, David Trebotich, Scott Klasky, Nagiza F. Samatova:
In Situ Storage Layout Optimization for AMR Spatio-temporal Read Accesses. ICPP 2016: 406-415
[c100]
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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
[c99]
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Qian Sun, Melissa Romanus, Tong Jin, Hongfeng Yu, Peer-Timo Bremer, Steve Petruzza, Scott Klasky, Manish Parashar:
In-Staging Data Placement for Asynchronous Coupling of Task-Based Scientific Workflows. ESPM2@SC 2016: 2-9
[c98]
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James Kress, David Pugmire, Scott Klasky, Hank Childs:
Visualization and Analysis Requirements for In Situ Processing for a Large-Scale Fusion Simulation Code. ISAV@SC 2016: 45-50
2015
[j17]
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Ciprian Docan, Fan Zhang, Tong Jin, Hoang Bui, Qian Sun, Julian C. Cummings, Norbert Podhorszki, Scott Klasky, Manish Parashar:
ActiveSpaces: Exploring dynamic code deployment for extreme scale data processing. Concurr. Comput. Pract. Exp. 27(14): 3724-3745 (2015)
[c97]
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Wenzhao Zhang, Houjun Tang, Xiaocheng Zou, Steve Harenberg, Qing Liu, Scott Klasky, Nagiza F. Samatova:
Exploring Memory Hierarchy to Improve Scientific Data Read Performance. CLUSTER 2015: 66-69
[c96]
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  - conf/eScience/DayalLESWAK15
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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
[c95]
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Tong Jin, Fan Zhang, Qian Sun, Hoang Bui, Melissa Romanus, Norbert Podhorszki, Scott Klasky, Hemanth Kolla, Jacqueline Chen, Robert Hager, Choong-Seock Chang, Manish Parashar:
Exploring Data Staging Across Deep Memory Hierarchies for Coupled Data Intensive Simulation Workflows. IPDPS 2015: 1033-1042
[c94]
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  - conf/nas/Klasky15
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Scott Klasky:
Creating a software ecosystem for Data Intensive Science. NAS 2015: 1
[c93]
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  - conf/ppopp/JinLMLLPCK15
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Ye Jin, Mingliang Liu, Xiaosong Ma, Qing Liu, Jeremy Logan, Norbert Podhorszki, Jong Youl Choi, Scott Klasky:
Combining phase identification and statistic modeling for automated parallel benchmark generation. PPoPP 2015: 269-270
[c92]
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James Kress, Scott Klasky, Norbert Podhorszki, Jong Youl Choi, Hank Childs, David Pugmire:
Loosely Coupled In Situ Visualization: A Perspective on Why It's Here to Stay. ISAV@SC 2015: 1-6
[c91]
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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
[c90]
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  - conf/sc/SunJRBZYKKCP15
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Qian Sun, Tong Jin, Melissa Romanus, Hoang Bui, Fan Zhang, Hongfeng Yu, Hemanth Kolla, Scott Klasky, Jacqueline Chen, Manish Parashar:
Adaptive data placement for staging-based coupled scientific workflows. SC 2015: 65:1-65:12
[c89]
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  - conf/sigmetrics/JinMLLLPCK15
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Ye Jin, Xiaosong Ma, Mingliang Liu, Qing Liu, Jeremy Logan, Norbert Podhorszki, Jong Youl Choi, Scott Klasky:
Combining Phase Identification and Statistic Modeling for Automated Parallel Benchmark Generation. SIGMETRICS 2015: 309-320
[c88]
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  - conf/ssdbm/BoyukaTBZKS15
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David A. Boyuka II, Houjun Tang, Kushal Bansal, Xiaocheng Zou, Scott Klasky, Nagiza F. Samatova:
The hyperdyadic index and generalized indexing and query with PIQUE. SSDBM 2015: 20:1-20:12
[i2]
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Lingfei Wu, Kesheng Wu, Alex Sim, Michael Churchill, Jong Youl Choi, Andreas Stathopoulos, Choong-Seock Chang, Scott Klasky:
Towards Real-Time Detection and Tracking of Blob-Filaments in Fusion Plasma Big Data. CoRR abs/1505.03532 (2015)
2014
[j16]
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Yuan Tian, Cong Xu, Weikuan Yu, Jeffrey S. Vetter, Scott Klasky, Honggao Liu, Saad Biaz:
neCODEC: nearline data compression for scientific applications. Clust. Comput. 17(2): 475-486 (2014)
[j15]
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Sriram Lakshminarasimhan, Xiaocheng Zou, David A. Boyuka II, Saurabh V. Pendse, John Jenkins, Venkatram Vishwanath, Michael E. Papka, Scott Klasky, Nagiza F. Samatova:
DIRAQ: scalable in situ data- and resource-aware indexing for optimized query performance. Clust. Comput. 17(4): 1101-1119 (2014)
[j14]
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Fan Zhang, Ciprian Docan, Hoang Bui, Manish Parashar, Scott Klasky:
XpressSpace: a programming framework for coupling partitioned global address space simulation codes. Concurr. Comput. Pract. Exp. 26(3): 644-661 (2014)
[j13]
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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)
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George Teodoro, Tony Pan, Tahsin M. Kurç, Jun Kong, Lee A. D. Cooper, Scott Klasky, Joel H. Saltz:
Region templates: Data representation and management for high-throughput image analysis. Parallel Comput. 40(10): 589-610 (2014)
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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
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David A. Boyuka II, Sriram Lakshminarasimhan, Xiaocheng Zou, Zhenhuan Gong, John Jenkins, Eric R. Schendel, Norbert Podhorszki, Qing Liu, Scott Klasky, Nagiza F. Samatova:
Transparent in Situ Data Transformations in ADIOS. CCGRID 2014: 256-266
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Tong Jin, Fan Zhang, Qian Sun, Hoang Bui, Norbert Podhorszki, Scott Klasky, Hemanth Kolla, Jacqueline Chen, Robert Hager, Choong-Seock Chang, Manish Parashar:
Leveraging deep memory hierarchies for data staging in coupled data-intensive simulation workflows. CLUSTER 2014: 268-269
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Houjun Tang, Xiaocheng Zou, John Jenkins, David A. Boyuka II, Stephen Ranshous, Dries Kimpe, Scott Klasky, Nagiza F. Samatova:
Improving Read Performance with Online Access Pattern Analysis and Prefetching. Euro-Par 2014: 246-257
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Xiaocheng Zou, Sriram Lakshminarasimhan, David A. Boyuka II, Stephen Ranshous, Houjun Tang, Scott Klasky, Nagiza F. Samatova:
Fast Set Intersection through Run-Time Bitmap Construction over PForDelta-Compressed Indexes. Euro-Par 2014: 668-679
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Michael Matheny, Stephen Herbein, Norbert Podhorszki, Scott Klasky, Michela Taufer:
Using surrogate-based modeling to predict optimal I/O parameters of applications at the extreme scale. ICPADS 2014: 568-575
[c81]
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Stephen Herbein, Scott Klasky, Michela Taufer:
Benchmarking the Performance of Scientific Applications with Irregular I/O at the Extreme Scale. ICPP Workshops 2014: 292-301
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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
[c79]
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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
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Marc Gamell, Daniel S. Katz, Hemanth Kolla, Jacqueline Chen, Scott Klasky, Manish Parashar:
Exploring Automatic, Online Failure Recovery for Scientific Applications at Extreme Scales. SC 2014: 895-906
[i1]
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George Teodoro, Tony Pan, Tahsin M. Kurç, Jun Kong, Lee A. D. Cooper, Scott Klasky, Joel H. Saltz:
Region Templates: Data Representation and Management for Large-Scale Image Analysis. CoRR abs/1405.7958 (2014)
2013
[j11]
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Sriram Lakshminarasimhan, Neil Shah, Stéphane Ethier, Seung-Hoe Ku, Choong-Seock Chang, Scott Klasky, Robert Latham, Robert B. Ross, Nagiza F. Samatova:
ISABELA for effective in situ compression of scientific data. Concurr. Comput. Pract. Exp. 25(4): 524-540 (2013)
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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)
[j9]
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John Jenkins, Isha Arkatkar, Sriram Lakshminarasimhan, David A. Boyuka II, Eric R. Schendel, Neil Shah, Stéphane Ethier, Choong-Seock Chang, Jackie Chen, Hemanth Kolla, Scott Klasky, Robert B. Ross, Nagiza F. Samatova:
ALACRITY: Analytics-Driven Lossless Data Compression for Rapid In-Situ Indexing, Storing, and Querying. Trans. Large Scale Data Knowl. Centered Syst. 10: 95-114 (2013)
[c77]
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Zhenhuan Gong, David A. Boyuka II, Xiaocheng Zou, Qing Liu, Norbert Podhorszki, Scott Klasky, Xiaosong Ma, Nagiza F. Samatova:
PARLO: PArallel Run-Time Layout Optimization for Scientific Data Explorations with Heterogeneous Access Patterns. CCGRID 2013: 343-351
[c76]
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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
[c75]
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Stephen Herbein, Michael Matheny, Matthew Wezowicz, Jaron T. Krogel, Jeremy Logan, J. Kim, Scott Klasky, Michela Taufer:
Performance Impact of I/O on QMCPack Simulations at the Petascale and Beyond. CSE 2013: 92-99
[c74]
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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
[c73]
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Qing Liu, Norbert Podhorszki, Jeremy Logan, Scott Klasky:
Runtime I/O Re-Routing + Throttling on HPC Storage. HotStorage 2013
[c72]
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Zhuo Liu, Bin Wang, Teng Wang, Yuan Tian, Cong Xu, Yandong Wang, Weikuan Yu, Carlos A. Cruz, Shujia Zhou, Tom Clune, Scott Klasky:
Profiling and Improving I/O Performance of a Large-Scale Climate Scientific Application. ICCCN 2013: 1-7
[c71]
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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
[c70]
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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
[c69]
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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
[c68]
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  - conf/ipps/DayalCESWZAKPL13
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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
[c67]
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Yuan Tian, Zhuo Liu, Scott Klasky, Bin Wang, Hasan Abbasi, Shujia Zhou, Norbert Podhorszki, Tom Clune, Jeremy Logan, Weikuan Yu:
A lightweight I/O scheme to facilitate spatial and temporal queries of scientific data analytics. MSST 2013: 1-10
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Yuan Tian, Scott Klasky, Weikuan Yu, Bin Wang, Hasan Abbasi, Norbert Podhorszki, Ray W. Grout:
DynaM: Dynamic Multiresolution Data Representation for Large-Scale Scientific Analysis. NAS 2013: 115-124
[c65]
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Tong Jin, Fan Zhang, Qian Sun, Hoang Bui, Manish Parashar, Hongfeng Yu, Scott Klasky, Norbert Podhorszki, Hasan Abbasi:
Using cross-layer adaptations for dynamic data management in large scale coupled scientific workflows. SC 2013: 74:1-74:12
[c64]
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Marc Gamell, Ivan Rodero, Manish Parashar, Janine Bennett, Hemanth Kolla, Jacqueline Chen, Peer-Timo Bremer, Aaditya G. Landge, Attila Gyulassy, Patrick S. McCormick, Scott Pakin, Valerio Pascucci, Scott Klasky:
Exploring power behaviors and trade-offs of in-situ data analytics. SC 2013: 77:1-77:12
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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
[c62]
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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
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Ciprian Docan, Manish Parashar, Scott Klasky:
DataSpaces: an interaction and coordination framework for coupled simulation workflows. Clust. Comput. 15(2): 163-181 (2012)
[c61]
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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
[c60]
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John Jenkins, Isha Arkatkar, Sriram Lakshminarasimhan, Neil Shah, Eric R. Schendel, Stéphane Ethier, Choong-Seock Chang, Jacqueline H. Chen, Hemanth Kolla, Scott Klasky, Robert B. Ross, Nagiza F. Samatova:
Analytics-Driven Lossless Data Compression for Rapid In-situ Indexing, Storing, and Querying. DEXA (2) 2012: 16-30
[c59]
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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
[c58]
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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
[c57]
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Ranga Raju Vatsavai, Auroop R. Ganguly, Varun Chandola, Anthony Stefanidis, Scott Klasky, Shashi Shekhar:
Spatiotemporal data mining in the era of big spatial data: algorithms and applications. BigSpatial@SIGSPATIAL 2012: 1-10
[c56]
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Tong Jin, Fan Zhang, Manish Parashar, Scott Klasky, Norbert Podhorszki, Hasan Abbasi:
A scalable messaging system for accelerating discovery from large scale scientific simulations. HiPC 2012: 1-10
[c55]
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Eric R. Schendel, Saurabh V. Pendse, John Jenkins, David A. Boyuka II, Zhenhuan Gong, Sriram Lakshminarasimhan, Qing Liu, Hemanth Kolla, Jackie Chen, Scott Klasky, Robert B. Ross, Nagiza F. Samatova:
ISOBAR hybrid compression-I/O interleaving for large-scale parallel I/O optimization. HPDC 2012: 61-72
[c54]
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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
[c53]
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Eric R. Schendel, Ye Jin, Neil Shah, Jackie Chen, Choong-Seock Chang, Seung-Hoe Ku, Stéphane Ethier, Scott Klasky, Robert Latham, Robert B. Ross, Nagiza F. Samatova:
ISOBAR Preconditioner for Effective and High-throughput Lossless Data Compression. ICDE 2012: 138-149
[c52]
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Zhenhuan Gong, Terry Rogers, John Jenkins, Hemanth Kolla, Stéphane Ethier, Jackie Chen, Robert B. Ross, Scott Klasky, Nagiza F. Samatova:
MLOC: Multi-level Layout Optimization Framework for Compressed Scientific Data Exploration with Heterogeneous Access Patterns. ICPP 2012: 239-248
[c51]
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Zhenhuan Gong, Sriram Lakshminarasimhan, John Jenkins, Hemanth Kolla, Stéphane Ethier, Jackie Chen, Robert B. Ross, Scott Klasky, Nagiza F. Samatova:
Multi-level Layout Optimization for Efficient Spatio-temporal Queries on ISABELA-compressed Data. IPDPS 2012: 873-884
[c50]
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Fan Zhang, Ciprian Docan, Manish Parashar, Scott Klasky, Norbert Podhorszki, Hasan Abbasi:
Enabling In-situ Execution of Coupled Scientific Workflow on Multi-core Platform. IPDPS 2012: 1352-1363
[c49]
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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
[c48]
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Bing Xie, Jeffrey S. Chase, David Dillow, Oleg Drokin, Scott Klasky, Sarp Oral, Norbert Podhorszki:
Characterizing output bottlenecks in a supercomputer. SC 2012: 8
[c47]
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John Jenkins, Eric R. Schendel, Sriram Lakshminarasimhan, David A. Boyuka II, Terry Rogers, Stéphane Ethier, Robert B. Ross, Scott Klasky, Nagiza F. Samatova:
Byte-precision level of detail processing for variable precision analytics. SC 2012: 48
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Janine Bennett, Hasan Abbasi, Peer-Timo Bremer, Ray W. Grout, Attila Gyulassy, Tong Jin, Scott Klasky, Hemanth Kolla, Manish Parashar, Valerio Pascucci, Philippe P. Pébay, David C. Thompson, Hongfeng Yu, Fan Zhang, Jacqueline Chen:
Combining in-situ and in-transit processing to enable extreme-scale scientific analysis. SC 2012: 49
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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
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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
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Fan Zhang, Ciprian Docan, Manish Parashar, Scott Klasky:
Enabling Multi-physics Coupled Simulations within the PGAS Programming Framework. CCGRID 2011: 84-93
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Yuan Tian, Scott Klasky, Hasan Abbasi, Jay F. Lofstead, Ray W. Grout, Norbert Podhorszki, Qing Liu, Yandong Wang, Weikuan Yu:
EDO: Improving Read Performance for Scientific Applications through Elastic Data Organization. CLUSTER 2011: 93-102
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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
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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
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Sriram Lakshminarasimhan, Neil Shah, Stéphane Ethier, Scott Klasky, Robert Latham, Robert B. Ross, Nagiza F. Samatova:
Compressing the Incompressible with ISABELA: In-situ Reduction of Spatio-temporal Data. Euro-Par (1) 2011: 366-379
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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
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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
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Ye Jin, Sriram Lakshminarasimhan, Neil Shah, Zhenhuan Gong, Choong-Seock Chang, Jackie Chen, Stéphane Ethier, Hemanth Kolla, Seung-Hoe Ku, Scott Klasky, Robert Latham, Robert B. Ross, Karen Schuchardt, Nagiza F. Samatova:
S-preconditioner for Multi-fold Data Reduction with Guaranteed User-Controlled Accuracy. ICDM 2011: 290-299
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Rejith George Joseph, Girish Ravunnikutty, Sanjay Ranka, Eduardo F. D'Azevedo, Scott Klasky:
Efficient GPU Implementation for Particle in Cell Algorithm. IPDPS 2011: 395-406
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Ciprian Docan, Manish Parashar, Julian Cummings, Scott Klasky:
Moving the Code to the Data - Dynamic Code Deployment Using ActiveSpaces. IPDPS 2011: 758-769
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Jinoh Kim, Hasan Abbasi, Luis Chacón, Ciprian Docan, Scott Klasky, Qing Liu, Norbert Podhorszki, Arie Shoshani, Kesheng Wu:
Parallel in situ indexing for data-intensive computing. LDAV 2011: 65-72
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Sriram Lakshminarasimhan, John Jenkins, Isha Arkatkar, Zhenhuan Gong, Hemanth Kolla, Seung-Hoe Ku, Stéphane Ethier, Jackie Chen, Choong-Seock Chang, Scott Klasky, Robert Latham, Robert B. Ross, Nagiza F. Samatova:
ISABELA-QA: query-driven analytics with ISABELA-compressed extreme-scale scientific data. SC 2011: 31:1-31:11
2010
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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)
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Ciprian Docan, Manish Parashar, Scott Klasky:
Enabling high-speed asynchronous data extraction and transfer using DART. Concurr. Comput. Pract. Exp. 22(9): 1181-1204 (2010)
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Ciprian Docan, Fan Zhang, Manish Parashar, Julian Cummings, Norbert Podhorszki, Scott Klasky:
Experiments with Memory-to-Memory Coupling for End-to-End Fusion Simulation Workflows. CCGRID 2010: 293-301
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Roselyne Tchoua, Scott Klasky, Norbert Podhorszki, Brad Grimm, Ayla Khan, Emanuele Santos, Cláudio T. Silva, Pierre Mouallem, Mladen A. Vouk:
Collaborative monitoring and analysis for simulation scientists. CTS 2010: 235-244
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Ciprian Docan, Manish Parashar, Scott Klasky:
DataSpaces: an interaction and coordination framework for coupled simulation workflows. HPDC 2010: 25-36
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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
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Julian Cummings, Jay F. Lofstead, Karsten Schwan, Alexander Sim, Arie Shoshani, Ciprian Docan, Manish Parashar, Scott Klasky, Norbert Podhorszki, Roselyne Barreto:
EFFIS: An End-to-end Framework for Fusion Integrated Simulation. PDP 2010: 428-434
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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

see FAQ

What is the meaning of the colors in the publication lists?

2009
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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
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Roselyne Barreto, Scott Klasky, Norbert Podhorszki, Pierre Mouallem, Mladen A. Vouk:
Collaboration portal for petascale simulations. CTS 2009: 384-393
[c24]
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Emanuele Santos, Julien Tierny, Ayla Khan, Brad Grimm, Lauro Didier Lins, Juliana Freire, Valerio Pascucci, Cláudio T. Silva, Scott Klasky, Roselyne Barreto, Norbert Podhorszki:
Enabling Advanced Visualization Tools in a Web-Based Simulation Monitoring System. eScience 2009: 358-365
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Qing Liu, Tannous Frangieh, Feng Xu, Chongyang Xie, Nasir Ghani, Ashwin Gumaste, Tom Lehman, Chin Guok, Scott Klasky:
Distributed Grooming in Multi-Domain IP/MPLS-DWDM Networks. GLOBECOM 2009: 1-6
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Hasan Abbasi, Matthew Wolf, Greg Eisenhauer, Scott Klasky, Karsten Schwan, Fang Zheng:
DataStager: scalable data staging services for petascale applications. HPDC 2009: 39-48
[c21]
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Jay F. Lofstead, Fang Zheng, Scott Klasky, Karsten Schwan:
Adaptable, metadata rich IO methods for portable high performance IO. IPDPS 2009: 1-10
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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
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Pierre Mouallem, Roselyne Barreto, Scott Klasky, Norbert Podhorszki, Mladen A. Vouk:
Tracking Files in the Kepler Provenance Framework. SSDBM 2009: 273-282
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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
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Bertram Ludäscher, Ilkay Altintas, Shawn Bowers, Julian Cummings, Terence Critchlow, Ewa Deelman, David De Roure, Juliana Freire, Carole A. Goble, Matthew B. Jones, Scott Klasky, Timothy M. McPhillips, Norbert Podhorszki, Cláudio T. Silva, Ian J. Taylor, Mladen A. Vouk:
Scientific Process Automation and Workflow Management. Scientific Data Management 2009
2008
[c18]
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Jay F. Lofstead, Scott Klasky, Karsten Schwan, Norbert Podhorszki, Chen Jin:
Flexible IO and integration for scientific codes through the adaptable IO system (ADIOS). CLADE 2008: 15-24
[c17]
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Scott Klasky, Roselyne Barreto, Ayla Khan, Manish Parashar, Norbert Podhorszki, Steven G. Parker, Deborah Silver, Mladen A. Vouk:
Collaborative visualization spaces for petascale simulations. CTS 2008: 203-211
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Ciprian Docan, Manish Parashar, Scott Klasky:
DART: a substrate for high speed asynchronous data IO. HPDC 2008: 219-220
2007
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Viraj Bhat, Manish Parashar, Hua Liu, Nagarajan Kandasamy, Mohit Khandekar, Scott Klasky, Sherif Abdelwahed:
A self-managing wide-area data streaming service. Clust. Comput. 10(4): 365-383 (2007)
[c15]
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Viraj Bhat, Manish Parashar, Scott Klasky:
Experiments with in-transit processing for data intensive grid workflows. GRID 2007: 193-200
[c14]
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Norbert Podhorszki, Bertram Ludäscher, Scott Klasky:
Workflow automation for processing plasma fusion simulation data. WORKS@HPDC 2007: 35-44
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Wei-keng Liao, Avery Ching, Kenin Coloma, Arifa Nisar, Alok N. Choudhary, Jacqueline Chen, Ramanan Sankaran, Scott Klasky:
Using MPI file caching to improve parallel write performance for large-scale scientific applications. SC 2007: 8
2006
[c12]
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Viraj Bhat, Manish Parashar, Mohit Khandekar, Nagarajan Kandasamy, Scott Klasky:
A Self-Managing Wide-Area Data Streaming Service using Model-based Online Control. GRID 2006: 176-183
[c11]
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Li Zhang, Manish Parashar, Scott Klasky:
Experiments with Wide Area Data Coupling Using the Seine Coupling Framework. HiPC 2006: 229-241
[c10]
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Scott Klasky, Bertram Ludäscher, Manish Parashar:
The Center for Plasma Edge Simulation Workflow Requirements. ICDE Workshops 2006: 73
[c9]
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Mladen A. Vouk, Ilkay Altintas, Roselyne Barreto, J. Blondin, Zhengang Cheng, Terence Critchlow, Ayla Khan, Scott Klasky, J. Ligon, Bertram Ludäscher, Pierre Mouallem, Steven G. Parker, Norbert Podhorszki, Arie Shoshani, Cláudio T. Silva:
Automation of Network-Based Scientific Workflows. Grid-Based Problem Solving Environments 2006: 35-61
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Ilkay Altintas, Bertram Ludäscher, Scott Klasky, Mladen A. Vouk:
S04 - Introduction to scientific workflow management and the Kepler system. SC 2006: 205
[c7]
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James P. Ahrens, Hank Childs, John P. Clyne, Wes Bethel, Jian Huang, Scott Klasky, Kwan-Liu Ma, Kenneth Moreland, Michael E. Papka, Valerio Pascucci, Han-Wei Shen, Deborah Silver:
Ultra-scale visualization - Workshop on ultra-scale visualization. SC 2006: 235
2005
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Katarzyna Keahey, Michael E. Papka, Qian Peng, David P. Schissel, Gheni Abla, Takuya Araki, Justin Burruss, Eliot Feibush, Peter Lane, Scott Klasky, Ti Leggett, Douglas McCune, Lewis E. Randerson:
Grid Support for Collaborative Control Room in Fusion Science. Clust. Comput. 8(4): 305-311 (2005)
[c6]
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Hua Liu, Viraj Bhat, Manish Parashar, Scott Klasky:
An autonomic service architecture for self-managing grid applications. GRID 2005: 132-139
2004
[c5]
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Katarzyna Keahey, Michael E. Papka, Qian Peng, David P. Schissel, Gheni Abla, Takuya Araki, Justin Burruss, Eliot Feibush, Peter Lane, Scott Klasky, Ti Leggett, Douglas McCune, Lewis E. Randerson:
Grids for Experimental Science: The Virtual Control Room. CLADE 2004: 4
[c4]
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Viraj Bhat, Scott Klasky, Scott Atchley, Micah Beck, Douglas McCune, Manish Parashar:
High Performance Threaded Data Streaming for Large Scale Simulations. GRID 2004: 243-250
[c3]
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David Crawford, Kwan-Liu Ma, Min-Yu Huang, Scott Klasky, Stéphane Ethier:
Visualizing Gyrokinetic Simulations. IEEE Visualization 2004: 59-66
2003
[c2]
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Scott Klasky, Stéphane Ethier, Zhihong Lin, K. Martins, Douglas McCune, Ravi Samtaney:
Grid -Based Parallel Data Streaming implemented for the Gyrokinetic Toroidal Code. SC 2003: 24

1990 – 1999

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1998
[j3]
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Byeongseob Ki, Scott Klasky:
Scivis. Concurr. Pract. Exp. 10(11-13): 1107-1115 (1998)
1997
[j2]
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Byeongseob Ki, Scott Klasky:
Collaborative Scientific Data Visualization. Concurr. Pract. Exp. 9(11): 1249-1259 (1997)
[c1]
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Geoffrey C. Fox, Tomasz Haupt, Scott Klasky:
HPF for Numerical Relativity. PP 1997
1993
[j1]
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Lincoln Gray, Scott Klasky, Robert Byers:
Visualizing Complex Patterns in the Spread of Head and Neck Cancers. Int. J. High Perform. Comput. Appl. 7(2): 167-178 (1993)

Coauthor Index

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