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Scott Klasky
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2020 – today
- 2025
- [j46]Tushar M. Athawale
, Zhe Wang
, David Pugmire
, Kenneth Moreland
, Qian Gong
, Scott Klasky
, Chris R. Johnson
, Paul Rosen
:
Uncertainty Visualization of Critical Points of 2D Scalar Fields for Parametric and Nonparametric Probabilistic Models. IEEE Trans. Vis. Comput. Graph. 31(1): 108-118 (2025) - 2024
- [c183]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 - [c182]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. CLUSTER Workshops 2024: 86-95 - [c181]Xiao Li, Qian Gong, Jaemoon Lee, Scott Klasky, Anand Rangarajan, Sanjay Ranka:
Hybrid Approaches for Data Reduction of Spatiotemporal Scientific Applications. DCC 2024: 567 - [c180]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 - [c179]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 - [c178]Frédéric Suter, Norbert Podhorszki, Scott Klasky:
Towards Resilient Near Real-Time Analysis Workflows in Fusion Energy Science. e-Science 2024: 1-6 - [c177]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 - [c176]Ana Gainaru, Norbert Podhorszki, Liz Dulac, Qian Gong, Scott Klasky, Greg Eisenhauer, Antonios Kougkas, Xian-He Sun, Jay F. Lofstead:
To Derive or Not to Derive: I/O Libraries Take Charge of Derived Quantities Computation. SBAC-PAD 2024: 105-115 - [c175]Zhenbo Qiao, Qirui Tian, Zhenlu Qin, Jinzhen Wang, Qing Liu, Norbert Podhorszki, Scott Klasky, Hongjian Zhu:
Tango: A Cross-layer Approach to Managing I/O Interference over Local Ephemeral Storage. SC 2024: 14 - [c174]David K. Park, Yihui Ren, Ozgur O. Kilic, Tatiana Korchuganova, Sairam Sri Vatsavai, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Raees Khan, Jaehyung Kim, Scott Klasky, Tadashi Maeno, Paul Nilsson, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Frédéric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie:
AI Surrogate Model for Distributed Computing Workloads. SC Workshops 2024: 79-86 - [c173]Xuan Wu, Qian Gong, Jieyang Chen, Qing Liu, Norbert Podhorszki, Xin Liang, Scott Klasky:
Error-controlled Progressive Retrieval of Scientific Data under Derivable Quantities of Interest. SC 2024: 86 - [c172]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 - [c171]Gautam Hari, Nrushad Joshi, Zhe Wang, Qian Gong, Dave Pugmire, Kenneth Moreland, Chris R. Johnson, Scott Klasky, Norbert Podhorszki, Tushar M. Athawale:
FunM2C: A Filter for Uncertainty Visualization of Multivariate Data on Multi-Core Devices. UncertaintyVis@VIS 2024: 43-47 - [i22]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) - [i21]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) - [i20]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) - [i19]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) - [i18]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) - [i17]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) - [i16]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) - [i15]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) - [i14]David K. Park, Yihui Ren, Ozgur O. Kilic, Tatiana Korchuganova, Sairam Sri Vatsavai, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Raees Khan, Jaehyung Kim, Scott Klasky, Tadashi Maeno, Paul Nilsson, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Frédéric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie:
AI Surrogate Model for Distributed Computing Workloads. CoRR abs/2410.07940 (2024) - [i13]Viktor Reshniak, Qian Gong, Rick Archibald, Scott Klasky, Norbert Podhorszki:
A framework for compressing unstructured scientific data via serialization. CoRR abs/2410.08059 (2024) - [i12]Xuan Wu, Qian Gong, Jieyang Chen, Qing Liu, Norbert Podhorszki, Xin Liang, Scott Klasky:
Error-controlled Progressive Retrieval of Scientific Data under Derivable Quantities of Interest. CoRR abs/2411.05333 (2024) - 2023
- [j45]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]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]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]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]Frédéric Suter
, Rafael Ferreira da Silva, Ana Gainaru
, Scott Klasky
:
Driving Next-Generation Workflows from the Data Plane. e-Science 2023: 1-10 - [c166]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]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]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]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]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]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]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]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]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]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]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]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]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]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]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]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]Subhendu Behera, Lipeng Wan, Frank Mueller, Matthew Wolf, Scott Klasky:
P-ckpt: Coordinated Prioritized Checkpointing. IPDPS 2022: 436-446 - [c157]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]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]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]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]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]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]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]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 - [c151]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]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 - [c149]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]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 - [c147]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]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]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]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]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]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) - [j34]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]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]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]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]Subhendu Behera, Lipeng Wan, Frank Mueller, Matthew Wolf, Scott Klasky:
Orchestrating Fault Prediction with Live Migration and Checkpointing. HPDC 2020: 167-171 - [c145]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]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]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]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]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]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]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 - [c138]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 - [c137]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]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 - [c135]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]Nicholas Thompson, John Maddock, George Ostrouchov, Jeremy Logan, David Pugmire, Scott Klasky:
Towards 1ULP evaluation of Daubechies Wavelets. CoRR abs/2005.05424 (2020) - [i5]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]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
- [j30]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]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]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]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]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 - [c133]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]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]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]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]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]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]Mark Kim, Scott Klasky, David Pugmire:
Dense Texture Flow Visualization using Data-Parallel Primitives. EGPGV@EuroVis 2018: 57-61 - [c128]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]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