Scott Klasky

285 papers A* 5A 55B 40C 16Misc 6Journal 82Unranked 78
YearRankTypeTitle / Venue / Authors
2026 J jnl
Alternative mixed integer linear programming optimization for joint job scheduling and data allocation in grid computing.
Future Gener. Comput. Syst.
Shengyu Feng, Jaehyung Kim, Yiming Yang, Joseph Boudreau, Tasnuva Chowdhury, Adolfy Hoisie, Raees Khan, Ozgur O. Kilic, Scott Klasky, Tatiana Korchuganova, Paul Nilsson, Verena Ingrid Martinez Outschoorn, David Keetae Park, Norbert Podhorszki, Yihui Ren, Frédéric Suter, Sairam Sri Vatsavai, Wei Yang, Shinjae Yoo, Tadashi Maeno, Alexei Klimentov
2026 J jnl
Scalable Hybrid Learning Techniques for Scientific Data Compression.
IEEE Trans. Parallel Distributed Syst.
Tania Banerjee, Jong Choi, Jaemoon Lee, Qian Gong, Jieyang Chen, Scott Klasky, Anand Rangarajan, Sanjay Ranka
2025 J jnl
A General Framework for Error-controlled Unstructured Scientific Data Compression.
CoRR
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
2025 C conf
A Performance Model of In-Situ Techniques.
PDP
Yi Ju, Nicolas Vidal, Adalberto Perez, Ana Gainaru, Frédéric Suter, Stefano Markidis, Philipp Schlatter, Scott Klasky, Erwin Laure
2025 J jnl
Alternative Mixed Integer Linear Programming Optimization for Joint Job Scheduling and Data Allocation in Grid Computing.
CoRR
Shengyu Feng, Jaehyung Kim, Yiming Yang, Joseph Boudreau, Tasnuva Chowdhury, Adolfy Hoisie, Raees Khan, Ozgur O. Kilic, Scott Klasky, Tatiana Korchuganova, Paul Nilsson, Verena Ingrid Martinez Outschoorn, David Keetae Park, Norbert Podhorszki, Yihui Ren, Frédéric Suter, Sairam Sri Vatsavai, Wei Yang, Shinjae Yoo, Tadashi Maeno, Alexei Klimentov
2025 — conf
CGSim: A Simulation Framework for Large Scale Distributed Computing Environment.
SC Workshops
Sairam Sri Vatsavai, Raees Khan Ahmed, Kuan-Chieh Hsu, Ozgur O. Kilic, Yihui Ren, David K. Park, Paul Nilsson, Tania Korchuganova, Sankha Dutta, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Fatih Furkan Akman, Adolfy Hoisie, Scott Klasky, Tadashi Maeno, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Frédéric Suter, John Rembrandt Steele, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov
2025 J jnl
CGSim: A Simulation Framework for Large Scale Distributed Computing Environment.
CoRR
Sairam Sri Vatsavai, Raees Khan, Kuan-Chieh Hsu, Ozgur O. Kilic, Paul Nilsson, Tatiana Korchuganova, David Keetae Park, Sankha Dutta, Yihui Ren, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Jaehyung Kim, Scott Klasky, Tadashi Maeno, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Frédéric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie
2025 — conf
Data Management System Analysis for Distributed Computing Workloads.
SC Workshops
Kuan-Chieh Hsu, Sairam Sri Vatsavai, Ozgur O. Kilic, Sankha Dutta, Yihui Ren, David K. Park, Tatiana Korchuganova, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Raees Ahmad Khan, Jaehyung Kim, Norbert Podhorszki, Scott Klasky, Tadashi Maeno, Paul Nilsson, Verena Ingrid Martinez Outschoorn, Frédéric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie
2025 J jnl
Data Management System Analysis for Distributed Computing Workloads.
CoRR
Kuan-Chieh Hsu, Sairam Sri Vatsavai, Ozgur O. Kilic, Tatiana Korchuganova, Paul Nilsson, Sankha Dutta, Yihui Ren, David K. Park, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Raees Khan, Jaehyung Kim, Scott Klasky, Tadashi Maeno, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Frédéric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie
2025 — conf
Enabling Command-and-Control in Advanced In Situ Workflows.
ICPP Workshops
Kshitij Mehta, Eric Suchyta, Frédéric Suter, Ana Gainaru, Norbert Podhorszki, Scott Klasky
2025 — conf
Error Analysis of Globally Distributed Workflow Management System.
SC Workshops
Sankha Dutta, Ozgur O. Kilic, Tatiana Korchuganova, Paul Nilsson, Sairam Sri Vatsavai, Kuan-Chieh Hsu, David K. Park, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Raees Khan, Jaehyung Kim, Scott Klasky, Tadashi Maeno, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Yihui Ren, Frédéric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie
2025 J jnl
Exploring the Capabilities of the Frontier Large Language Models for Nuclear Energy Research.
CoRR
Ahmed Almeldein, Mohammed Alnaggar, Rick Archibald, Tom Beck, Arpan Biswas, Rike Bostelmann, Wes Brewer, Chris Bryan, Christopher Calle, Cihangir Celik, Rajni Chahal, Jong Youl Choi, Arindam Chowdhury, Mark R. Cianciosa, Franklin Curtis, Gregory G. Davidson, Sebastian De Pascuale, Lisa Fassino, Ana Gainaru, Yashika Ghai, Luke Gibson, Qian Gong, Christopher Greulich, Scott Greenwood, Cory D. Hauck, Ehab Hassan, Rinkle Juneja, Soyoung Kang, Scott Klasky, Atul Kumar, Vineet Kumar, M. Paul Laiu, Calvin Lear, Yan-Ru Lin, Jono McConnell, Furkan Oz, Rishi Pillai, Anant Raj, Pradeep Ramuhalli, Marie Romedenne, Samantha Sabatino, José Salcedo-Pérez, Nathan D. See, Arpan Sircar, Punam Thankur, Timothy Reed Younkin, Xiao-Ying Yu, Prashant Jain, Tom Evans, Prasanna Balaprakash
2025 A conf
HP-MDR: High-performance and Portable Data Refactoring and Progressive Retrieval with Advanced GPUs.
SC
Yanliang Li, Wenbo Li, Qian Gong, Qing Liu, Norbert Podhorszki, Scott Klasky, Xin Liang, Jieyang Chen
2025 J jnl
HP-MDR: High-performance and Portable Data Refactoring and Progressive Retrieval with Advanced GPUs.
CoRR
Yanliang Li, Wenbo Li, Qian Gong, Qing Liu, Norbert Podhorszki, Scott Klasky, Xin Liang, Jieyang Chen
2025 J jnl
HPC I/O innovations in the exascale era.
Int. J. High Perform. Comput. Appl.
Greg Eisenhauer, Norbert Podhorszki, Ana Gainaru, Scott Klasky, Junmin Gu, Vicente Bolea, Liz Dulac, Dmitry Ganyushin, William F. Godoy, Qing Liu, Caitlin Ross, Lipeng Wan, Scott Wittenburg, Kesheng Wu
2025 A conf
HPDR: High-Performance Portable Scientific Data Reduction Framework.
IPDPS
Jieyang Chen, Qian Gong, Yanliang Li, Xin Liang, Lipeng Wan, Qing Liu, Norbert Podhorszki, Scott Klasky
2025 J jnl
HPDR: High-Performance Portable Scientific Data Reduction Framework.
CoRR
Jieyang Chen, Qian Gong, Yanliang Li, Xin Liang, Lipeng Wan, Qing Liu, Norbert Podhorszki, Scott Klasky
2025 J jnl
JANUS: Resilient and Adaptive Data Transmission for Enabling Timely and Efficient Cross-Facility Scientific Workflows.
CoRR
Vladislav Esaulov, Jieyang Chen, Norbert Podhorszki, Frédéric Suter, Scott Klasky, Anu G. Bourgeois, Lipeng Wan
2025 — conf
Machine Learning Techniques for Data Reduction of Climate Applications.
PAKDD (1)
Xiao Li, Qian Gong, Jaemoon Lee, Scott Klasky, Anand Rangarajan, Sanjay Ranka
2025 J jnl
Machine Learning-Driven Predictive Resource Management in Complex Science Workflows.
CoRR
Tasnuva Chowdhury, Tadashi Maeno, Fatih Furkan Akman, Joseph Boudreau, Sankha Dutta, Shengyu Feng, Adolfy Hoisie, Kuan-Chieh Hsu, Raees Khan, Jaehyung Kim, Ozgur O. Kilic, Scott Klasky, Alexei Klimentov, Tatiana Korchuganova, Verena Ingrid Martinez Outschoorn, Paul Nilsson, David Keetae Park, Norbert Podhorszki, Yihui Ren, John Rembrandt Steele, Frédéric Suter, Sairam Sri Vatsavai, Torre J. Wenaus, Wei Yang, Yiming Yang, Shinjae Yoo
2025 J jnl
Performance Models for a Two-tiered Storage System.
CoRR
Aparna Sasidharan, Xian-He Sun, Jay F. Lofstead, Scott Klasky
2025 — conf
Priority-BF: A Task Manager for Priority-Based Scheduling.
Euro-Par (1)
Ana Gainaru, Scott Klasky, Guillaume Pallez
2025 A conf
Stability-preserving Lossy Compression for Large-scale Partial Differential Equations.
SC
Qian Gong, Mark Ainsworth, Jieyang Chen, Xin Liang, Liangji Zhu, Ethan Klasky, Tushar M. Athawale, Qing Liu, Anand Rangarajan, Sanjay Ranka, Scott Klasky
2025 J jnl
The Artificial Scientist - in-transit Machine Learning of Plasma Simulations.
CoRR
Jeffrey Kelling, Vicente Bolea, Michael Bussmann, Ankush Checkervarty, Alexander Debus, Jan Ebert, Greg Eisenhauer, Vineeth Gutta, Stefan Kesselheim, Scott Klasky, Richard Pausch, Norbert Podhorszki, Franz Pöschel, David Rogers, Jeyhun Rustamov, Steve Schmerler, Ulrich Schramm, Klaus Steiniger, René Widera, Anna Willmann, Sunita Chandrasekaran
2025 A conf
The Artificial Scientist: in-Transit Machine Learning of Plasma Simulations.
IPDPS
Jeffrey Kelling, Vicente Bolea, Michael Bussmann, Ankush Checkervarty, Alexander Debus, Jan Ebert, Greg Eisenhauer, Vineeth Gutta, Stefan Kesselheim, Scott Klasky, Vedhas Pandit, Richard Pausch, Norbert Podhorszki, Franz Pöschel, David Rogers, Jeyhun Rustamov, Steve Schmerler, Ulrich Schramm, Klaus Steiniger, René Widera, Anna Willmann, Sunita Chandrasekaran
2025 J jnl
Towards an Introspective Dynamic Model of Globally Distributed Computing Infrastructures.
CoRR
Ozgur O. Kilic, David Keetae Park, Yihui Ren, 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
2025 J jnl
Uncertainty Visualization of Critical Points of 2D Scalar Fields for Parametric and Nonparametric Probabilistic Models.
IEEE Trans. Vis. Comput. Graph.
Tushar M. Athawale, Zhe Wang, David Pugmire, Kenneth Moreland, Qian Gong, Scott Klasky, Chris R. Johnson, Paul Rosen
2025 A* conf
Understanding and Estimating Error Propagation in Neural Networks for Scientific Data Analysis.
ICDE
Weiming He, Qi Chen, Qian Gong, Jing Li, Qing Liu, Norbert Podhorszki, Scott Klasky, Ki Sung Jung, Cristian Lacey, Jackie Chen, Hongjian Zhu
2025 — conf
Unlocking the Unusable: A Proactive Caching Framework for Reusing Partial Overlapped Data.
HotStorage
Chang Guo, Norbert Podhorszki, Greg Eisenhauer, Zhiwen Xie, Scott Klasky, Zhichao Cao
2024 B conf
A Framework for Compressing Unstructured Scientific Data via Serialization.
IEEE Big Data
Viktor Reshniak, Qian Gong, Rick Archibald, Scott Klasky, Norbert Podhorszki
2024 B conf
A General Framework for Error-controlled Unstructured Scientific Data Compression.
e-Science
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
2024 B conf
A Personalized AI Assistant For Intuition-Driven Visual Explorations.
e-Science
James Hammer, Tanner Hobson, David Pugmire, Scott Klasky, Kenneth Moreland, Jian Huang
2024 J jnl
A framework for compressing unstructured scientific data via serialization.
CoRR
Viktor Reshniak, Qian Gong, Rick Archibald, Scott Klasky, Norbert Podhorszki
2024 — conf
AI Surrogate Model for Distributed Computing Workloads.
SC Workshops
David Keetae 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
2024 J jnl
AI Surrogate Model for Distributed Computing Workloads.
CoRR
David Keetae 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
2024 — conf
Enabling High- Throughput Parallel I/O in Particle-in-Cell Monte Carlo Simulations with openPMD and Darshan I/O Monitoring.
CLUSTER Workshops
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
2024 J jnl
Enabling High-Throughput Parallel I/O in Particle-in-Cell Monte Carlo Simulations with openPMD and Darshan I/O Monitoring.
CoRR
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
2024 A conf
Error-controlled Progressive Retrieval of Scientific Data under Derivable Quantities of Interest.
SC
Xuan Wu, Qian Gong, Jieyang Chen, Qing Liu, Norbert Podhorszki, Xin Liang, Scott Klasky
2024 J jnl
Error-controlled Progressive Retrieval of Scientific Data under Derivable Quantities of Interest.
CoRR
Xuan Wu, Qian Gong, Jieyang Chen, Qing Liu, Norbert Podhorszki, Xin Liang, Scott Klasky
2024 — conf
FunM
UncertaintyVis@VIS
Gautam Hari, Nrushad Joshi, Zhe Wang, Qian Gong, Dave Pugmire, Kenneth Moreland, Chris R. Johnson, Scott Klasky, Norbert Podhorszki, Tushar M. Athawale
2024 B conf
Hades: A Context-Aware Active Storage Framework for Accelerating Large-Scale Data Analysis.
CCGrid
Jaime Cernuda, Luke Logan, Ana Gainaru, Scott Klasky, Jay F. Lofstead, Anthony Kougkas, Xian-He Sun
2024 B conf
Hybrid Approaches for Data Reduction of Spatiotemporal Scientific Applications.
DCC
Xiao Li, Qian Gong, Jaemoon Lee, Scott Klasky, Anand Rangarajan, Sanjay Ranka
2024 J jnl
Lifting MGARD: construction of (pre)wavelets on the interval using polynomial predictors of arbitrary order.
CoRR
Viktor Reshniak, Evan Ferguson, Qian Gong, Nicolas Vidal, Rick Archibald, Scott Klasky
2024 J jnl
MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring.
CoRR
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
2024 J jnl
Machine Learning Techniques for Data Reduction of CFD Applications.
CoRR
Jaemoon Lee, Ki Sung Jung, Qian Gong, Xiao Li, Scott Klasky, Jacqueline Chen, Anand Rangarajan, Sanjay Ranka
2024 J jnl
Machine Learning Techniques for Data Reduction of Climate Applications.
CoRR
Xiao Li, Qian Gong, Jaemoon Lee, Scott Klasky, Anand Rangarajan, Sanjay Ranka
2024 C conf
Optimizing Metadata Exchange: Leveraging DAOS for ADIOS Metadata I/O.
ISC
Ranjan Sarpangala Venkatesh, Greg Eisenhauer, Norbert Podhorszki, Dmitry Ganyushin, Scott Klasky, Ada Gavrilovska
2024 — conf
Performance Improvements of Poincaré Analysis for Exascale Fusion Simulations.
VisGap@EuroVis
David Pugmire, Jong Youl Choi, Scott Klasky, Kenneth Moreland, Eric Suchyta, Tushar M. Athawale, Zhe Wang, Choong-Seock Chang, Seung-Hoe Ku, Robert Hager
2024 — conf
Scaling Ensembles of Data-Intensive Quantum Chemical Calculations for Millions of Molecules.
IPDPS (Workshops)
Kshitij Mehta, Massimiliano Lupo Pasini, Stephan Irle, Pilsun Yoo, Frédéric Suter, Dmitry Ganyushin, Scott Klasky
2024 J jnl
Spatiotemporally adaptive compression for scientific dataset with feature preservation - a case study on simulation data with extreme climate events analysis.
CoRR
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
2024 — conf
Streaming Data in HPC Workflows Using ADIOS.
CUG
Greg Eisenhauer, Norbert Podhorszki, Ana Gainaru, Scott Klasky, Philip E. Davis, Manish Parashar, Matthew Wolf, Eric Suchyta, Erick Fredj, Vicente Bolea, Franz Pöschel, Klaus Steiniger, Michael Bussmann, Richard Pausch, Sunita Chandrasekaran
2024 J jnl
Streaming Data in HPC Workflows Using ADIOS.
CoRR
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
2024 A conf
Tango: A Cross-layer Approach to Managing I/O Interference over Local Ephemeral Storage.
SC
Zhenbo Qiao, Qirui Tian, Zhenlu Qin, Jinzhen Wang, Qing Liu, Norbert Podhorszki, Scott Klasky, Hongjian Zhu
2024 C conf
To Derive or Not to Derive: I/O Libraries Take Charge of Derived Quantities Computation.
SBAC-PAD
Ana Gainaru, Norbert Podhorszki, Liz Dulac, Qian Gong, Scott Klasky, Greg Eisenhauer, Antonios Kougkas, Xian-He Sun, Jay F. Lofstead
2024 B conf
Towards Resilient Near Real-Time Analysis Workflows in Fusion Energy Science.
e-Science
Frédéric Suter, Norbert Podhorszki, Scott Klasky
2024 B conf
Tuning the Interpolation Basis in a Multigrid Decomposition for Local Error Control.
IEEE Big Data
Nicolas Vidal, Qian Gong, Viktor Reshniak, Rick Archibald, Scott Klasky
2024 J jnl
Uncertainty Visualization of Critical Points of 2D Scalar Fields for Parametric and Nonparametric Probabilistic Models.
CoRR
Tushar M. Athawale, Zhe Wang, David Pugmire, Kenneth Moreland, Qian Gong, Scott Klasky, Christopher R. Johnson, Paul Rosen
2023 B conf
Driving Next-Generation Workflows from the Data Plane.
e-Science
Frédéric Suter, Rafael Ferreira da Silva, Ana Gainaru, Scott Klasky
2023 — conf
Enhancing Metadata Transfer Efficiency: Unlocking the Potential of DAOS in the ADIOS context.
SC Workshops
Ranjan Sarpangala Venkatesh, Greg Eisenhauer, Scott Klasky, Ada Gavrilovska
2023 Misc conf
Fast Algorithms for Scientific Data Compression.
HiPC
Tania Banerjee, Jaemoon Lee, Jong Choi, Qian Gong, Jieyang Chen, Scott Klasky, Anand Rangarajan, Sanjay Ranka
2023 A* conf
Improving Progressive Retrieval for HPC Scientific Data using Deep Neural Network.
ICDE
Jinzhen Wang, Xin Liang, Ben Whitney, Jieyang Chen, Qian Gong, Xubin He, Lipeng Wan, Scott Klasky, Norbert Podhorszki, Qing Liu
2023 J jnl
MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring.
SoftwareX
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
2023 B conf
Online and Scalable Data Compression Pipeline with Guarantees on Quantities of Interest.
e-Science
Tania Banerjee, Jaemoon Lee, Jong Choi, Qian Gong, Jieyang Chen, Choong-Seock Chang, Scott Klasky, Anand Rangarajan, Sanjay Ranka
2023 A conf
RAPIDS: Reconciling Availability, Accuracy, and Performance in Managing Geo-Distributed Scientific Data.
HPDC
Lipeng Wan, Jieyang Chen, Xin Liang, Ana Gainaru, Qian Gong, Qing Liu, Ben Whitney, Joy Arulraj, Zhengchun Liu, Ian T. Foster, Scott Klasky
2023 C conf
SciLance: Mitigate Load Imbalance for Parallel Scientific Applications in Cloud Environments.
CLUSTER
Xinying Wang, Lipeng Wan, Scott Klasky, Dongfang Zhao, Feng Yan
2023 B conf
Spatiotemporally Adaptive Compression for Scientific Dataset with Feature Preservation - A Case Study on Simulation Data with Extreme Climate Events Analysis.
e-Science
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
2023 — conf
Understanding Node Allocation on Leadership-Class Supercomputers with Graph Analytics.
HPCC/DSS/SmartCity/DependSys
Andy Trinh, Shivam Sheth, Anil Gaihre, Caiwen Ding, Jieyang Chen, Feiyi Wang, David Pugmire, Scott Klasky, Hang Liu, Lipeng Wan
2023 J jnl
Unraveling Diffusion in Fusion Plasma: A Case Study of In Situ Processing and Particle Sorting.
CoRR
Junmin Gu, Paul Lin, Kesheng Wu, Seung-Hoe Ku, Choong-Seock Chang, Randy Michael Churchill, Jong Choi, Norbert Podhorszki, Scott Klasky
2022 J jnl
A codesign framework for online data analysis and reduction.
Concurr. Comput. Pract. Exp.
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
2022 Misc conf
An Algorithmic and Software Pipeline for Very Large Scale Scientific Data Compression with Error Guarantees.
HIPC
Tania Banerjee, Jong Choi, Jaemoon Lee, Qian Gong, Ruonan Wang, Scott Klasky, Anand Rangarajan, Sanjay Ranka
2022 B conf
Exploring Large All-Flash Storage System with Scientific Simulation.
SSDBM
Junmin Gu, Greg Eisenhauer, Scott Klasky, Norbert Podhorszki, Ruonan Wang, Kesheng Wu
2022 C conf
Hybrid Analysis of Fusion Data for Online Understanding of Complex Science on Extreme Scale Computers.
CLUSTER
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
2022 J jnl
Identifying challenges and opportunities of in-memory computing on large HPC systems.
J. Parallel Distributed Comput.
Dan Huang, Zhenlu Qin, Qing Liu, Norbert Podhorszki, Scott Klasky
2022 J jnl
Improving I/O Performance for Exascale Applications Through Online Data Layout Reorganization.
IEEE Trans. Parallel Distributed Syst.
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
2022 J jnl
MGARD+: Optimizing Multilevel Methods for Error-Bounded Scientific Data Reduction.
IEEE Trans. Computers
Xin Liang, Ben Whitney, Jieyang Chen, Lipeng Wan, Qing Liu, Dingwen Tao, James Kress, David Pugmire, Matthew Wolf, Norbert Podhorszki, Scott Klasky
2022 A conf
P-ckpt: Coordinated Prioritized Checkpointing.
IPDPS
Subhendu Behera, Lipeng Wan, Frank Mueller, Matthew Wolf, Scott Klasky
2022 B conf
Region-adaptive, Error-controlled Scientific Data Compression using Multilevel Decomposition.
SSDBM
Qian Gong, Ben Whitney, Chengzhu Zhang, Xin Liang, Anand Rangarajan, Jieyang Chen, Lipeng Wan, Paul Ullrich, Qing Liu, Robert Jacob, Sanjay Ranka, Scott Klasky
2022 B conf
Running Ensemble Workflows at Extreme Scale: Lessons Learned and Path Forward.
e-Science
Kshitij Mehta, Ashley Cliff, Frédéric Suter, Angelica M. Walker, Matthew Wolf, Daniel A. Jacobson, Scott Klasky
2022 J jnl
Scalable Hybrid Learning Techniques for Scientific Data Compression.
CoRR
Tania Banerjee, Jong Choi, Jaemoon Lee, Qian Gong, Jieyang Chen, Scott Klasky, Anand Rangarajan, Sanjay Ranka
2022 J jnl
The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science.
Int. J. High Perform. Comput. Appl.
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
2022 — conf
The Need for Pervasive In Situ Analysis and Visualization (P-ISAV).
ISC Workshops
David Pugmire, Jian Huang, Kenneth Moreland, Scott Klasky
2022 J jnl
Understanding the Impact of Data Staging for Coupled Scientific Workflows.
IEEE Trans. Parallel Distributed Syst.
Ana Gainaru, Lipeng Wan, Ruonan Wang, Eric Suchyta, Jieyang Chen, Norbert Podhorszki, James Kress, David Pugmire, Scott Klasky
2022 J jnl
zMesh: Theories and Methods to Exploring Application Characteristics to Improve Lossy Compression Ratio for Adaptive Mesh Refinement.
IEEE Trans. Parallel Distributed Syst.
Huizhang Luo, Junqi Wang, Qing Liu, Jieyang Chen, Scott Klasky, Norbert Podhorszki
2021 A conf
Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs.
IPDPS
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
2021 A conf
Error-controlled, progressive, and adaptable retrieval of scientific data with multilevel decomposition.
SC
Xin Liang, Qian Gong, Jieyang Chen, Ben Whitney, Lipeng Wan, Qing Liu, David Pugmire, Rick Archibald, Norbert Podhorszki, Scott Klasky
2021 — conf
Fides: A General Purpose Data Model Library for Streaming Data.
ISC Workshops
David Pugmire, Caitlin Ross, Nicholas Thompson, James Kress, Chuck Atkins, Scott Klasky, Berk Geveci
2021 J jnl
Improving I/O Performance for Exascale Applications through Online Data Layout Reorganization.
CoRR
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
2021 B conf
Maintaining Trust in Reduction: Preserving the Accuracy of Quantities of Interest for Lossy Compression.
SMC
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
2021 J jnl
Online data analysis and reduction: An important Co-design motif for extreme-scale computers.
Int. J. High Perform. Comput. Appl.
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
2021 J jnl
Scalable Multigrid-based Hierarchical Scientific Data Refactoring on GPUs.
CoRR
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
2021 B conf
Transitioning from File-Based HPC Workflows to Streaming Data Pipelines with openPMD and ADIOS2.
SMC
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
2021 J jnl
Transitioning from file-based HPC workflows to streaming data pipelines with openPMD and ADIOS2.
CoRR
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
2021 — conf
Unbalanced Parallel I/O: An Often-Neglected Side Effect of Lossy Scientific Data Compression.
DRBSD@SC
Xinying Wang, Lipeng Wan, Jieyang Chen, Qian Gong, Ben Whitney, Jinzhen Wang, Ana Gainaru, Qing Liu, Norbert Podhorszki, Dongfang Zhao, Feng Yan, Scott Klasky
2021 B conf
Understanding and Leveraging the I/O Patterns of Emerging Machine Learning Analytics.
SMC
Ana Gainaru, Dmitry Ganyushin, Bing Xie, Tahsin M. Kurç, Joel H. Saltz, Sarp Oral, Norbert Podhorszki, Franz Poeschel, Axel Huebl, Scott Klasky
2021 A conf
zMesh: Exploring Application Characteristics to Improve Lossy Compression Ratio for Adaptive Mesh Refinement.
IPDPS
Huizhang Luo, Junqi Wang, Qing Liu, Jieyang Chen, Scott Klasky, Norbert Podhorszki
2020 A conf
A Comprehensive Study of In-Memory Computing on Large HPC Systems.
ICDCS
Dan Huang, Zhenlu Qin, Qing Liu, Norbert Podhorszki, Scott Klasky
2020 J jnl
A terminology for in situ visualization and analysis systems.
Int. J. High Perform. Comput. Appl.
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
2020 J jnl
ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management.
SoftwareX
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
2020 J jnl
Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs.
CoRR
Jieyang Chen, Lipeng Wan, Xin Liang, Ben Whitney, Qing Liu, Dave Pugmire, Nicholas Thompson, Matthew Wolf, Todd S. Munson, Ian T. Foster, Scott Klasky
2020 J jnl
Ad Hoc File Systems for High-Performance Computing.
J. Comput. Sci. Technol.
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
2020 J jnl
Characterizing Output Bottlenecks of a Production Supercomputer: Analysis and Implications.
ACM Trans. Storage
Bing Xie, Sarp Oral, Christopher Zimmer, Jong Youl Choi, David Dillow, Scott Klasky, Jay F. Lofstead, Norbert Podhorszki, Jeffrey S. Chase
2020 — conf
Comparing Time-to-Solution for In Situ Visualization Paradigms at Scale.
LDAV
James Kress, Matthew Larsen, Jong Choi, Mark Kim, Matthew Wolf, Norbert Podhorszki, Scott Klasky, Hank Childs, David Pugmire
2020 B conf
Data Federation Challenges in Remote Near-Real-Time Fusion Experiment Data Processing.
SMC
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
2020 J jnl
Extending the Publish/Subscribe Abstraction for High-Performance I/O and Data Management at Extreme Scale.
IEEE Data Eng. Bull.
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
2020 — conf
Feature-preserving Lossy Compression for In Situ Data Analysis.
ICPP Workshops
Igor Yakushin, Kshitij Mehta, Jieyang Chen, Matthew Wolf, Ian T. Foster, Scott Klasky, Todd S. Munson
2020 — conf
Leading magnetic fusion energy science into the big-and-fast data lane.
SciPy
Ralph Kube, Randy Michael Churchill, Jong Youl Choi, Ruonan Wang, Scott Klasky, CS Chang, Minjun J. Choi, Jinseop Park
2020 J jnl
MGARD+: Optimizing Multi-grid Based Reduction for Efficient Scientific Data Management.
CoRR
Xin Liang, Ben Whitney, Jieyang Chen, Lipeng Wan, Qing Liu, Dingwen Tao, James Kress, David Pugmire, Matthew Wolf, Norbert Podhorszki, Scott Klasky
2020 B conf
Machine Learning for the Complex, Multi-scale Datasets in Fusion Energy.
SMC
Randy Michael Churchill, Jong Choi, Ralph Kube, Choong-Seock Chang, Scott Klasky
2020 J jnl
Multilevel Techniques for Compression and Reduction of Scientific Data - The Unstructured Case.
SIAM J. Sci. Comput.
Mark Ainsworth, Ozan Tugluk, Ben Whitney, Scott Klasky
2020 — conf
Near real-time analysis of big fusion data on HPC systems.
UrgentHPC@SC
Ralph Kube, Randy Michael Churchill, Jong Choi, Ruonan Wang, Minjun Choi, Scott Klasky, Choong-Seock Chang
2020 C conf
Opportunities for Cost Savings with In-Transit Visualization.
ISC
James Kress, Matthew Larsen, Jong Choi, Mark Kim, Matthew Wolf, Norbert Podhorszki, Scott Klasky, Hank Childs, David Pugmire
2020 A conf
Orchestrating Fault Prediction with Live Migration and Checkpointing.
HPDC
Subhendu Behera, Lipeng Wan, Frank Mueller, Matthew Wolf, Scott Klasky
2020 A conf
Processing full-scale square kilometre array data on the summit supercomputer.
SC
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
2020 A conf
Taming I/O variation on QoS-less HPC storage: what can applications do?
SC
Zhenbo Qiao, Qing Liu, Norbert Podhorszki, Scott Klasky, Jieyang Chen
2020 J jnl
Towards 1ULP evaluation of Daubechies Wavelets.
CoRR
Nicholas Thompson, John Maddock, George Ostrouchov, Jeremy Logan, David Pugmire, Scott Klasky
2020 B conf
Visualization as a Service for Scientific Data.
SMC
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
2019 — conf
A Codesign Framework for Online Data Analysis and Reduction.
WORKS@SC
Kshitij Mehta, Ian T. Foster, Scott Klasky, Bryce Allen, Matthew Wolf, Jeremy Logan, Eric Suchyta, Jong Choi, Keichi Takahashi, Igor Yakushin, Todd S. Munson
2019 A conf
A Vision for Managing Extreme-Scale Data Hoards.
ICDCS
Jeremy Logan, Kshitij Mehta, Gerd Heber, Scott Klasky, Tahsin M. Kurç, Norbert Podhorszki, Patrick M. Widener, Matthew Wolf
2019 J jnl
Can I/O Variability Be Reduced on QoS-Less HPC Storage Systems?
IEEE Trans. Computers
Dan Huang, Qing Liu, Jong Choi, Norbert Podhorszki, Scott Klasky, Jeremy Logan, George Ostrouchov, Xubin He, Matthew Wolf
2019 C conf
Comparing the Efficiency of In Situ Visualization Paradigms at Scale.
ISC
James Kress, Matthew Larsen, Jong Choi, Mark Kim, Matthew Wolf, Norbert Podhorszki, Scott Klasky, Hank Childs, David Pugmire
2019 J jnl
Harnessing Data Movement in Virtual Clusters for In-Situ Execution.
IEEE Trans. Parallel Distributed Syst.
Dan Huang, Qing Liu, Scott Klasky, Jun Wang, Jong Youl Choi, Jeremy Logan, Norbert Podhorszki
2019 J jnl
Multilevel Techniques for Compression and Reduction of Scientific Data - The Multivariate Case.
SIAM J. Sci. Comput.
Mark Ainsworth, Ozan Tugluk, Ben Whitney, Scott Klasky
2019 J jnl
Multilevel Techniques for Compression and Reduction of Scientific Data-Quantitative Control of Accuracy in Derived Quantities.
SIAM J. Sci. Comput.
Mark Ainsworth, Ozan Tugluk, Ben Whitney, Scott Klasky
2019 — conf
Scalable Performance Awareness for In Situ Scientific Applications.
eScience
Matthew Wolf, Julien Dominski, Gabriele Merlo, Jong Choi, Greg Eisenhauer, Stéphane Ethier, Kevin A. Huck, Scott Klasky, Jeremy Logan, Allen D. Malony, Chad Wood
2018 A conf
A View from ORNL: Scientific Data Research Opportunities in the Big Data Age.
ICDCS
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
2018 — conf
Binning Based Data Reduction for Vector Field Data of a Particle-In-Cell Fusion Simulation.
ISC Workshops
James Kress, Jong Choi, Scott Klasky, Michael Churchill, Hank Childs, David Pugmire
2018 — conf
Coupling Exascale Multiphysics Applications: Methods and Lessons Learned.
eScience
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
2018 — conf
Dense Texture Flow Visualization using Data-Parallel Primitives.
EGPGV@EuroVis
Mark Kim, Scott Klasky, David Pugmire
2018 — conf
In Situ Analysis and Visualization of Fusion Simulations: Lessons Learned.
ISC Workshops
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
2018 J jnl
Multilevel techniques for compression and reduction of scientific data - the univariate case.
Comput. Vis. Sci.
Mark Ainsworth, Ozan Tugluk, Ben Whitney, Scott Klasky
2018 — conf
Querying Large Scientific Data Sets with Adaptable IO System ADIOS.
SCFA
Junmin Gu, Scott Klasky, Norbert Podhorszki, Ji Qiang, Kesheng Wu
2018 J jnl
SIRIUS: Enabling Progressive Data Exploration for Extreme-Scale Scientific Data.
IEEE Trans. Multi Scale Comput. Syst.
Zhenbo Qiao, Tao Lu, Huizhang Luo, Qing Liu, Scott Klasky, Norbert Podhorszki, Jinzhen Wang
2018 A conf
Stacker: an autonomic data movement engine for extreme-scale data staging-based in-situ workflows.
SC
Pradeep Subedi, Philip E. Davis, Shaohua Duan, Scott Klasky, Hemanth Kolla, Manish Parashar
2018 A conf
Understanding and Modeling Lossy Compression Schemes on HPC Scientific Data.
IPDPS
Tao Lu, Qing Liu, Xubin He, Huizhang Luo, Eric Suchyta, Jong Choi, Norbert Podhorszki, Scott Klasky, Matthew Wolf, Tong Liu, Zhenbo Qiao
2017 — conf
Analysis and Modeling of the End-to-End I/O Performance on OLCF's Titan Supercomputer.
HPCC/SmartCity/DSS
Lipeng Wan, Matthew Wolf, Feiyi Wang, Jong Youl Choi, George Ostrouchov, Scott Klasky
2017 B conf
Apply Block Index Technique to Scientific Data Analysis and I/O Systems.
CCGrid
Tzu-Hsien Wu, Jerry Chi-Yuan Chou, Norbert Podhorszki, Junmin Gu, Yuan Tian, Scott Klasky, Kesheng Wu
2017 C conf
Canopus: A Paradigm Shift Towards Elastic Extreme-Scale Data Analytics on HPC Storage.
CLUSTER
Tao Lu, Eric Suchyta, David Pugmire, Jong Choi, Scott Klasky, Qing Liu, Norbert Podhorszki, Mark Ainsworth, Matthew Wolf
2017 — conf
Canopus: Enabling Extreme-Scale Data Analytics on Big HPC Storage via Progressive Refactoring.
HotStorage
Tao Lu, Eric Suchyta, Jong Youl Choi, Norbert Podhorszki, Scott Klasky, Qing Liu, David Pugmire, Matthew Wolf, Mark Ainsworth
2017 A conf
Comprehensive Measurement and Analysis of the User-Perceived I/O Performance in a Production Leadership-Class Storage System.
ICDCS
Lipeng Wan, Matthew Wolf, Feiyi Wang, Jong Youl Choi, George Ostrouchov, Scott Klasky
2017 J jnl
Compression Using Lossless Decimation: Analysis and Application.
SIAM J. Sci. Comput.
Mark Ainsworth, Scott Klasky, Ben Whitney
2017 — conf
Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales.
Euro-Par
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
2017 A conf
Exacution: Enhancing Scientific Data Management for Exascale.
ICDCS
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
2017 C conf
Extending Skel to Support the Development and Optimization of Next Generation I/O Systems.
CLUSTER
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
2017 — conf
In Situ Visualization of Radiation Transport Geometry.
ISAV@SC
Mark Kim, Tom Evans, Scott Klasky, David Pugmire
2017 J jnl
In-memory staging and data-centric task placement for coupled scientific simulation workflows.
Concurr. Comput. Pract. Exp.
Fan Zhang, Tong Jin, Qian Sun, Melissa Romanus, Hoang Bui, Scott Klasky, Manish Parashar
2017 — conf
On the Scalability of Data Reduction Techniques in Current and Upcoming HPC Systems from an Application Perspective.
ISC Workshops
Axel Huebl, René Widera, Felix Schmitt, Alexander Matthes, Norbert Podhorszki, Jong Youl Choi, Scott Klasky, Michael Bussmann
2017 J jnl
On the Scalability of Data Reduction Techniques in Current and Upcoming HPC Systems from an Application Perspective.
CoRR
Axel Huebl, René Widera, Felix Schmitt, Alexander Matthes, Norbert Podhorszki, Jong Youl Choi, Scott Klasky, Michael Bussmann
2017 A conf
Optimizing the query performance of block index through data analysis and I/O modeling.
SC
Tzu-Hsien Wu, Jerry Chi-Yuan Chou, Shyng Hao, Bin Dong, Scott Klasky, Kesheng Wu
2017 — conf
Output Performance Study on a Production Petascale Filesystem.
ISC Workshops
Bing Xie, Jeffrey S. Chase, David Dillow, Scott Klasky, Jay F. Lofstead, Sarp Oral, Norbert Podhorszki
2017 J jnl
Personalized Search Inspired Fast Interactive Estimation of Distribution Algorithm and Its Application.
IEEE Trans. Evol. Comput.
Yang Chen, Xiaoyan Sun, Dunwei Gong, Yong Zhang, Jong Choi, Scott Klasky
2017 A conf
Predicting Output Performance of a Petascale Supercomputer.
HPDC
Bing Xie, Yezhou Huang, Jeffrey S. Chase, Jong Youl Choi, Scott Klasky, Jay F. Lofstead, Sarp Oral
2017 B conf
SELF: A High Performance and Bandwidth Efficient Approach to Exploiting Die-Stacked DRAM as Part of Memory.
MASCOTS
Yuhua Guo, Qing Liu, Weijun Xiao, Ping Huang, Norbert Podhorszki, Scott Klasky, Xubin He
2017 Misc conf
StoreRush: An Application-Level Approach to Harvesting Idle Storage in a Best Effort Environment.
ICCS
Qing Liu, Norbert Podhorszki, Jong Youl Choi, Jeremy Logan, Matthew Wolf, Scott Klasky, Tahsin M. Kurç, Xubin He
2017 C conf
TGE: Machine Learning Based Task Graph Embedding for Large-Scale Topology Mapping.
CLUSTER
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
2016 B conf
AMRZone: A Runtime AMR Data Sharing Framework for Scientific Applications.
CCGrid
Wenzhao Zhang, Houjun Tang, Steve Harenberg, Surendra Byna, Xiaocheng Zou, Dharshi Devendran, Daniel F. Martin, Kesheng Wu, Bin Dong, Scott Klasky, Nagiza F. Samatova
2016 — conf
Exploring memory hierarchy and network topology for runtime AMR data sharing across scientific applications.
IEEE BigData
Wenzhao Zhang, Houjun Tang, Stephen Ranshous, Surendra Byna, Daniel F. Martin, Kesheng Wu, Bin Dong, Scott Klasky, Nagiza F. Samatova
2016 B conf
In Situ Storage Layout Optimization for AMR Spatio-temporal Read Accesses.
ICPP
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
2016 — conf
In-Staging Data Placement for Asynchronous Coupling of Task-Based Scientific Workflows.
ESPM2@SC
Qian Sun, Melissa Romanus, Tong Jin, Hongfeng Yu, Peer-Timo Bremer, Steve Petruzza, Scott Klasky, Manish Parashar
2016 B conf
Landrush: Rethinking In-Situ Analysis for GPGPU Workflows.
CCGrid
Anshuman Goswami, Yuan Tian, Karsten Schwan, Fang Zheng, Jeffrey S. Young, Matthew Wolf, Greg Eisenhauer, Scott Klasky
2016 J jnl
Performance characterization of irregular I/O at the extreme scale.
Parallel Comput.
Stephen Herbein, Sean McDaniel, Norbert Podhorszki, Jeremy Logan, Scott Klasky, Michela Taufer
2016 — conf
Persistent Data Staging Services for Data Intensive In-situ Scientific Workflows.
DIDC@HPDC
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
2016 J jnl
Preparing for In Situ Processing on Upcoming Leading-edge Supercomputers.
Supercomput. Front. Innov.
James Kress, Randy Michael Churchill, Scott Klasky, Mark Kim, Hank Childs, David Pugmire
2016 J jnl
Towards Real-Time Detection and Tracking of Spatio-Temporal Features: Blob-Filaments in Fusion Plasma.
IEEE Trans. Big Data
Lingfei Wu, K. John Wu, Alex Sim, Michael Churchill, Jong Youl Choi, Andreas Stathopoulos, Choong-Seock Chang, Scott Klasky
2016 B conf
Usage Pattern-Driven Dynamic Data Layout Reorganization.
CCGrid
Houjun Tang, Surendra Byna, Steve Harenberg, Xiaocheng Zou, Wenzhao Zhang, Kesheng Wu, Bin Dong, Oliver Rübel, Kristofer E. Bouchard, Scott Klasky, Nagiza F. Samatova
2016 — conf
Visualization and Analysis Requirements for In Situ Processing for a Large-Scale Fusion Simulation Code.
ISAV@SC
James Kress, David Pugmire, Scott Klasky, Hank Childs
2016 — conf
Visualization and Analysis for Near-Real-Time Decision Making in Distributed Workflows.
IPDPS Workshops
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
2015 J jnl
ActiveSpaces: Exploring dynamic code deployment for extreme scale data processing.
Concurr. Comput. Pract. Exp.
Ciprian Docan, Fan Zhang, Tong Jin, Hoang Bui, Qian Sun, Julian C. Cummings, Norbert Podhorszki, Scott Klasky, Manish Parashar
2015 A conf
Adaptive data placement for staging-based coupled scientific workflows.
SC
Qian Sun, Tong Jin, Melissa Romanus, Hoang Bui, Fan Zhang, Hongfeng Yu, Hemanth Kolla, Scott Klasky, Jacqueline Chen, Manish Parashar
2015 — conf
Co-sites: the autonomous distributed dataflows in collaborative scientific discovery.
WORKS@SC
Yanwei Zhang, Matthew Wolf, Karsten Schwan, Qing Liu, Greg Eisenhauer, Scott Klasky
2015 A* conf
Combining Phase Identification and Statistic Modeling for Automated Parallel Benchmark Generation.
SIGMETRICS
Ye Jin, Xiaosong Ma, Mingliang Liu, Qing Liu, Jeremy Logan, Norbert Podhorszki, Jong Youl Choi, Scott Klasky
2015 B conf
Combining phase identification and statistic modeling for automated parallel benchmark generation.
PPoPP
Ye Jin, Mingliang Liu, Xiaosong Ma, Qing Liu, Jeremy Logan, Norbert Podhorszki, Jong Youl Choi, Scott Klasky
2015 — conf
Creating a software ecosystem for Data Intensive Science.
NAS
Scott Klasky
2015 A conf
Exploring Data Staging Across Deep Memory Hierarchies for Coupled Data Intensive Simulation Workflows.
IPDPS
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
2015 C conf
Exploring Memory Hierarchy to Improve Scientific Data Read Performance.
CLUSTER
Wenzhao Zhang, Houjun Tang, Xiaocheng Zou, Steve Harenberg, Qing Liu, Scott Klasky, Nagiza F. Samatova
2015 — conf
Loosely Coupled In Situ Visualization: A Perspective on Why It's Here to Stay.
ISAV@SC
James Kress, Scott Klasky, Norbert Podhorszki, Jong Youl Choi, Hank Childs, David Pugmire
2015 B conf
SODA: Science-Driven Orchestration of Data Analytics.
e-Science
Jai Dayal, Jay F. Lofstead, Greg Eisenhauer, Karsten Schwan, Matthew Wolf, Hasan Abbasi, Scott Klasky
2015 B conf
The hyperdyadic index and generalized indexing and query with PIQUE.
SSDBM
David A. Boyuka II, Houjun Tang, Kushal Bansal, Xiaocheng Zou, Scott Klasky, Nagiza F. Samatova
2015 J jnl
Towards Real-Time Detection and Tracking of Blob-Filaments in Fusion Plasma Big Data.
CoRR
Lingfei Wu, Kesheng Wu, Alex Sim, Michael Churchill, Jong Youl Choi, Andreas Stathopoulos, Choong-Seock Chang, Scott Klasky
2014 — conf
Active workflow system for near real-time extreme-scale science.
PPAA@PPoPP
Yanwei Zhang, Qing Liu, Scott Klasky, Matthew Wolf, Karsten Schwan, Greg Eisenhauer, Jong Youl Choi, Norbert Podhorszki
2014 — conf
Benchmarking the Performance of Scientific Applications with Irregular I/O at the Extreme Scale.
ICPP Workshops
Stephen Herbein, Scott Klasky, Michela Taufer
2014 J jnl
DIRAQ: scalable in situ data- and resource-aware indexing for optimized query performance.
Clust. Comput.
Sriram Lakshminarasimhan, Xiaocheng Zou, David A. Boyuka II, Saurabh V. Pendse, John Jenkins, Venkatram Vishwanath, Michael E. Papka, Scott Klasky, Nagiza F. Samatova
2014 A conf
Exploring Automatic, Online Failure Recovery for Scientific Applications at Extreme Scales.
SC
Marc Gamell, Daniel S. Katz, Hemanth Kolla, Jacqueline Chen, Scott Klasky, Manish Parashar
2014 — conf
Fast Set Intersection through Run-Time Bitmap Construction over PForDelta-Compressed Indexes.
Euro-Par
Xiaocheng Zou, Sriram Lakshminarasimhan, David A. Boyuka II, Stephen Ranshous, Houjun Tang, Scott Klasky, Nagiza F. Samatova
2014 B conf
Flexpath: Type-Based Publish/Subscribe System for Large-Scale Science Analytics.
CCGRID
Jai Dayal, Drew Bratcher, Greg Eisenhauer, Karsten Schwan, Matthew Wolf, Xuechen Zhang, Hasan Abbasi, Scott Klasky, Norbert Podhorszki
2014 J jnl
Hello ADIOS: the challenges and lessons of developing leadership class I/O frameworks.
Concurr. Comput. Pract. Exp.
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
2014 — conf
Improving Read Performance with Online Access Pattern Analysis and Prefetching.
Euro-Par
Houjun Tang, Xiaocheng Zou, John Jenkins, David A. Boyuka II, Stephen Ranshous, Dries Kimpe, Scott Klasky, Nagiza F. Samatova
2014 C conf
Leveraging deep memory hierarchies for data staging in coupled data-intensive simulation workflows.
CLUSTER
Tong Jin, Fan Zhang, Qian Sun, Hoang Bui, Norbert Podhorszki, Scott Klasky, Hemanth Kolla, Jacqueline Chen, Robert Hager, Choong-Seock Chang, Manish Parashar
2014 J jnl
Region Templates: Data Representation and Management for Large-Scale Image Analysis.
CoRR
George Teodoro, Tony Pan, Tahsin M. Kurç, Jun Kong, Lee Cooper, Scott Klasky, Joel H. Saltz
2014 J jnl
Region templates: Data representation and management for high-throughput image analysis.
Parallel Comput.
George Teodoro, Tony Pan, Tahsin M. Kurç, Jun Kong, Lee Cooper, Scott Klasky, Joel H. Saltz
2014 A conf
Scibox: Online Sharing of Scientific Data via the Cloud.
IPDPS
Jian Huang, Xuechen Zhang, Greg Eisenhauer, Karsten Schwan, Matthew Wolf, Stéphane Ethier, Scott Klasky
2014 B conf
Transparent in Situ Data Transformations in ADIOS.
CCGRID
David A. Boyuka II, Sriram Lakshminarasimhan, Xiaocheng Zou, Zhenhuan Gong, John Jenkins, Eric R. Schendel, Norbert Podhorszki, Qing Liu, Scott Klasky, Nagiza F. Samatova
2014 B conf
Using surrogate-based modeling to predict optimal I/O parameters of applications at the extreme scale.
ICPADS
Michael Matheny, Stephen Herbein, Norbert Podhorszki, Scott Klasky, Michela Taufer
2014 J jnl
XpressSpace: a programming framework for coupling partitioned global address space simulation codes.
Concurr. Comput. Pract. Exp.
Fan Zhang, Ciprian Docan, Hoang Bui, Manish Parashar, Scott Klasky
2014 J jnl
neCODEC: nearline data compression for scientific applications.
Clust. Comput.
Yuan Tian, Cong Xu, Weikuan Yu, Jeffrey S. Vetter, Scott Klasky, Honggao Liu, Saad Biaz
2013 — conf
A Maya use case: adaptable scientific workflows with ADIOS for general relativistic astrophysics.
XSEDE
Magdalena Slawiñska, Michael Clark, Matthew Wolf, Tanja Bode, Hongbo Zou, Pablo Laguna, Jeremy Logan, Matthew Kinsey, Scott Klasky
2013 Misc conf
A lightweight I/O scheme to facilitate spatial and temporal queries of scientific data analytics.
MSST
Yuan Tian, Zhuo Liu, Scott Klasky, Bin Wang, Hasan Abbasi, Shujia Zhou, Norbert Podhorszki, Tom Clune, Jeremy Logan, Weikuan Yu
2013 B conf
ADIOS Visualization Schema: A First Step Towards Improving Interdisciplinary Collaboration in High Performance Computing.
e-Science
Roselyne Tchoua, Jong Youl Choi, Scott Klasky, Qing Liu, Jeremy Logan, Kenneth Moreland, Jingqing Mu, Manish Parashar, Norbert Podhorszki, David Pugmire, Matthew Wolf
2013 J jnl
ALACRITY: Analytics-Driven Lossless Data Compression for Rapid In-Situ Indexing, Storing, and Querying.
Trans. Large Scale Data Knowl. Centered Syst.
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
2013 — conf
DynaM: Dynamic Multiresolution Data Representation for Large-Scale Scientific Analysis.
NAS
Yuan Tian, Scott Klasky, Weikuan Yu, Bin Wang, Hasan Abbasi, Norbert Podhorszki, Ray W. Grout
2013 A conf
Exploring power behaviors and trade-offs of in-situ data analytics.
SC
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
2013 J jnl
Feature-based analysis of large-scale spatio-temporal sensor data on hybrid architectures.
Int. J. High Perform. Comput. Appl.
Joel H. Saltz, George Teodoro, Tony Pan, Lee A. D. Cooper, Jun Kong, Scott Klasky, Tahsin M. Kurç
2013 A conf
FlexIO: I/O Middleware for Location-Flexible Scientific Data Analytics.
IPDPS
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
2013 C conf
FlexQuery: An online query system for interactive remote visual data exploration at large scale.
CLUSTER
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
2013 A conf
GoldRush: resource efficient in situ scientific data analytics using fine-grained interference aware execution.
SC
Fang Zheng, Hongfeng Yu, Can Hantas, Matthew Wolf, Greg Eisenhauer, Karsten Schwan, Hasan Abbasi, Scott Klasky
2013 A conf
High-throughput Analysis of Large Microscopy Image Datasets on CPU-GPU Cluster Platforms.
IPDPS
George Teodoro, Tony Pan, Tahsin M. Kurç, Jun Kong, Lee A. D. Cooper, Norbert Podhorszki, Scott Klasky, Joel H. Saltz
2013 — conf
I/O Containers: Managing the Data Analytics and Visualization Pipelines of High End Codes.
IPDPS Workshops
Jai Dayal, Jianting Cao, Greg Eisenhauer, Karsten Schwan, Matthew Wolf, Fang Zheng, Hasan Abbasi, Scott Klasky, Norbert Podhorszki, Jay F. Lofstead
2013 J jnl
ISABELA for effective in situ compression of scientific data.
Concurr. Comput. Pract. Exp.
Sriram Lakshminarasimhan, Neil Shah, Stéphane Ethier, Seung-Hoe Ku, Choong-Seock Chang, Scott Klasky, Robert Latham, Robert B. Ross, Nagiza F. Samatova
2013 B conf
PARLO: PArallel Run-Time Layout Optimization for Scientific Data Explorations with Heterogeneous Access Patterns.
CCGRID
Zhenhuan Gong, David A. Boyuka II, Xiaocheng Zou, Qing Liu, Norbert Podhorszki, Scott Klasky, Xiaosong Ma, Nagiza F. Samatova
2013 — conf
Performance Impact of I/O on QMCPack Simulations at the Petascale and Beyond.
CSE
Stephen Herbein, Michael Matheny, Matthew Wezowicz, Jaron T. Krogel, Jeremy Logan, J. Kim, Scott Klasky, Michela Taufer
2013 B conf
Profiling and Improving I/O Performance of a Large-Scale Climate Scientific Application.
ICCCN
Zhuo Liu, Bin Wang, Teng Wang, Yuan Tian, Cong Xu, Yandong Wang, Weikuan Yu, Carlos A. Cruz, Shujia Zhou, Tom Clune, Scott Klasky
2013 — conf
Resource Provisioning for Staging Components.
IPDPS Workshops
Tuan-Anh Nguyen, Greg Eisenhauer, Karsten Schwan, Matthew Wolf, Hasan Abbasi, Scott Klasky, Norbert Podhorszki
2013 — conf
Runtime I/O Re-Routing + Throttling on HPC Storage.
HotStorage
Qing Liu, Norbert Podhorszki, Jeremy Logan, Scott Klasky
2013 A conf
Using cross-layer adaptations for dynamic data management in large scale coupled scientific workflows.
SC
Tong Jin, Fan Zhang, Qian Sun, Hoang Bui, Manish Parashar, Hongfeng Yu, Scott Klasky, Norbert Podhorszki, Hasan Abbasi
2012 Misc conf
A scalable messaging system for accelerating discovery from large scale scientific simulations.
HiPC
Tong Jin, Fan Zhang, Manish Parashar, Scott Klasky, Norbert Podhorszki, Hasan Abbasi
2012 A conf
A system-aware optimized data organization for efficient scientific analytics.
HPDC
Yuan Tian, Scott Klasky, Weikuan Yu, Hasan Abbasi, Bin Wang, Norbert Podhorszki, Ray W. Grout, Matthew Wolf
2012 — conf
Analytics-Driven Lossless Data Compression for Rapid In-situ Indexing, Storing, and Querying.
DEXA (2)
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
2012 A conf
Byte-precision level of detail processing for variable precision analytics.
SC
John Jenkins, Eric R. Schendel, Sriram Lakshminarasimhan, David A. Boyuka II, Terry Rogers, Stéphane Ethier, Robert B. Ross, Scott Klasky, Nagiza F. Samatova
2012 A conf
Characterizing output bottlenecks in a supercomputer.
SC
Bing Xie, Jeffrey S. Chase, David Dillow, Oleg Drokin, Scott Klasky, Sarp Oral, Norbert Podhorszki
2012 — conf
Collaborative monitoring and visualization of HPC data.
CTS
Roselyne Tchoua, Hasan Abbasi, Scott Klasky, Qing Liu, Norbert Podhorszki, David Pugmire, Yuan Tian, Matthew Wolf
2012 A conf
Combining in-situ and in-transit processing to enable extreme-scale scientific analysis.
SC
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
2012 J jnl
DataSpaces: an interaction and coordination framework for coupled simulation workflows.
Clust. Comput.
Ciprian Docan, Manish Parashar, Scott Klasky
2012 A conf
Enabling In-situ Execution of Coupled Scientific Workflow on Multi-core Platform.
IPDPS
Fan Zhang, Ciprian Docan, Manish Parashar, Scott Klasky, Norbert Podhorszki, Hasan Abbasi
2012 A* conf
ISOBAR Preconditioner for Effective and High-throughput Lossless Data Compression.
ICDE
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
2012 A conf
ISOBAR hybrid compression-I/O interleaving for large-scale parallel I/O optimization.
HPDC
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
2012 — ch.
In Situ Processing.
High Performance Visualization
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
2012 B conf
MLOC: Multi-level Layout Optimization Framework for Compressed Scientific Data Exploration with Heterogeneous Access Patterns.
ICPP
Zhenhuan Gong, Terry Rogers, John Jenkins, Hemanth Kolla, Stéphane Ethier, Jackie Chen, Robert B. Ross, Scott Klasky, Nagiza F. Samatova
2012 — conf
Mining hidden mixture context with ADIOS-P to improve predictive pre-fetcher accuracy.
eScience
Jong Youl Choi, Hasan Abbasi, David Pugmire, Norbert Podhorszki, Scott Klasky, Cristian Capdevila, Manish Parashar, Matthew Wolf, Judy Qiu, Geoffrey C. Fox
2012 A conf
Multi-level Layout Optimization for Efficient Spatio-temporal Queries on ISABELA-compressed Data.
IPDPS
Zhenhuan Gong, Sriram Lakshminarasimhan, John Jenkins, Hemanth Kolla, Stéphane Ethier, Jackie Chen, Robert B. Ross, Scott Klasky, Nagiza F. Samatova
2012 — conf
Quality-Aware Data Management for Large Scale Scientific Applications.
SC Companion
Hongbo Zou, Fang Zheng, Matthew Wolf, Greg Eisenhauer, Karsten Schwan, Hasan Abbasi, Qing Liu, Norbert Podhorszki, Scott Klasky
2012 B conf
SMART-IO: SysteM-AwaRe Two-Level Data Organization for Efficient Scientific Analytics.
MASCOTS
Yuan Tian, Scott Klasky, Weikuan Yu, Hasan Abbasi, Bin Wang, Norbert Podhorszki, Ray W. Grout, Matthew Wolf
2012 — conf
Spatiotemporal data mining in the era of big spatial data: algorithms and applications.
BigSpatial@SIGSPATIAL
Ranga Raju Vatsavai, Auroop R. Ganguly, Varun Chandola, Anthony Stefanidis, Scott Klasky, Shashi Shekhar
2012 — conf
Understanding I/O Performance Using I/O Skeletal Applications.
Euro-Par
Jeremy Logan, Scott Klasky, Hasan Abbasi, Qing Liu, George Ostrouchov, Manish Parashar, Norbert Podhorszki, Yuan Tian, Matthew Wolf
2011 — conf
A Type System for High Performance Communication and Computation.
e-Science Workshops
Greg Eisenhauer, Matthew Wolf, Hasan Abbasi, Scott Klasky, Karsten Schwan
2011 — conf
Compressing the Incompressible with ISABELA: In-situ Reduction of Spatio-temporal Data.
Euro-Par (1)
Sriram Lakshminarasimhan, Neil Shah, Stéphane Ethier, Scott Klasky, Robert Latham, Robert B. Ross, Nagiza F. Samatova
2011 C conf
EDO: Improving Read Performance for Scientific Applications through Elastic Data Organization.
CLUSTER
Yuan Tian, Scott Klasky, Hasan Abbasi, Jay F. Lofstead, Ray W. Grout, Norbert Podhorszki, Qing Liu, Yandong Wang, Weikuan Yu
2011 A conf
Efficient GPU Implementation for Particle in Cell Algorithm.
IPDPS
Rejith George Joseph, Girish Ravunnikutty, Sanjay Ranka, Eduardo F. D'Azevedo, Scott Klasky
2011 B conf
Enabling Multi-physics Coupled Simulations within the PGAS Programming Framework.
CCGRID
Fan Zhang, Ciprian Docan, Manish Parashar, Scott Klasky
2011 A conf
ISABELA-QA: query-driven analytics with ISABELA-compressed extreme-scale scientific data.
SC
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
2011 A conf
Just in time: adding value to the IO pipelines of high performance applications with JITStaging.
HPDC
Hasan Abbasi, Greg Eisenhauer, Matthew Wolf, Karsten Schwan, Scott Klasky
2011 A conf
Moving the Code to the Data - Dynamic Code Deployment Using ActiveSpaces.
IPDPS
Ciprian Docan, Manish Parashar, Julian Cummings, Scott Klasky
2011 — conf
Parallel in situ indexing for data-intensive computing.
LDAV
Jinoh Kim, Hasan Abbasi, Luis Chacón, Ciprian Docan, Scott Klasky, Qing Liu, Norbert Podhorszki, Arie Shoshani, Kesheng Wu
2011 A* conf
S-preconditioner for Multi-fold Data Reduction with Guaranteed User-Controlled Accuracy.
ICDM
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
2011 A conf
Six degrees of scientific data: reading patterns for extreme scale science IO.
HPDC
Jay F. Lofstead, Milo Polte, Garth A. Gibson, Scott Klasky, Karsten Schwan, Ron A. Oldfield, Matthew Wolf, Qing Liu
2011 — conf
Skel: Generative Software for Producing Skeletal I/O Applications.
e-Science Workshops
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
2010 — conf
Collaborative monitoring and analysis for simulation scientists.
CTS
Roselyne Tchoua, Scott Klasky, Norbert Podhorszki, Brad Grimm, Ayla Khan, Emanuele Santos, Cláudio T. Silva, Pierre Mouallem, Mladen A. Vouk
2010 A conf
DataSpaces: an interaction and coordination framework for coupled simulation workflows.
HPDC
Ciprian Docan, Manish Parashar, Scott Klasky
2010 J jnl
DataStager: scalable data staging services for petascale applications.
Clust. Comput.
Hasan Abbasi, Matthew Wolf, Greg Eisenhauer, Scott Klasky, Karsten Schwan, Fang Zheng
2010 C conf
EFFIS: An End-to-end Framework for Fusion Integrated Simulation.
PDP
Julian Cummings, Jay F. Lofstead, Karsten Schwan, Alexander Sim, Arie Shoshani, Ciprian Docan, Manish Parashar, Scott Klasky, Norbert Podhorszki, Roselyne Barreto
2010 J jnl
Enabling high-speed asynchronous data extraction and transfer using DART.
Concurr. Comput. Pract. Exp.
Ciprian Docan, Manish Parashar, Scott Klasky
2010 B conf
Experiments with Memory-to-Memory Coupling for End-to-End Fusion Simulation Workflows.
CCGRID
Ciprian Docan, Fan Zhang, Manish Parashar, Julian Cummings, Norbert Podhorszki, Scott Klasky
2010 A conf
Managing Variability in the IO Performance of Petascale Storage Systems.
SC
Jay F. Lofstead, Fang Zheng, Qing Liu, Scott Klasky, Ron A. Oldfield, Todd Kordenbrock, Karsten Schwan, Matthew Wolf
2010 A conf
PreDatA - preparatory data analytics on peta-scale machines.
IPDPS
Fang Zheng, Hasan Abbasi, Ciprian Docan, Jay F. Lofstead, Qing Liu, Scott Klasky, Manish Parashar, Norbert Podhorszki, Karsten Schwan, Matthew Wolf
2009 A conf
Adaptable, metadata rich IO methods for portable high performance IO.
IPDPS
Jay F. Lofstead, Fang Zheng, Scott Klasky, Karsten Schwan
2009 — conf
Collaboration portal for petascale simulations.
CTS
Roselyne Barreto, Scott Klasky, Norbert Podhorszki, Pierre Mouallem, Mladen A. Vouk
2009 A conf
DataStager: scalable data staging services for petascale applications.
HPDC
Hasan Abbasi, Matthew Wolf, Greg Eisenhauer, Scott Klasky, Karsten Schwan, Fang Zheng
2009 B conf
Distributed Grooming in Multi-Domain IP/MPLS-DWDM Networks.
GLOBECOM
Qing Liu, Tannous Frangieh, Feng Xu, Chongyang Xie, Nasir Ghani, Ashwin Gumaste, Tom Lehman, Chin Guok, Scott Klasky
2009 — conf
Enabling Advanced Visualization Tools in a Web-Based Simulation Monitoring System.
eScience
Emanuele Santos, Julien Tierny, Ayla Khan, Brad Grimm, Lauro Didier Lins, Juliana Freire, Valerio Pascucci, Cláudio T. Silva, Scott Klasky, Roselyne Barreto, Norbert Podhorszki
2009 C conf
Extending I/O through high performance data services.
CLUSTER
Hasan Abbasi, Jay F. Lofstead, Fang Zheng, Karsten Schwan, Matthew Wolf, Scott Klasky
2009 — ch.
High Throughput Data Movement.
Scientific Data Management
Scott Klasky, Hasan Abbasi, Viraj Bhat, Ciprian Docan, Steve Hodson, Chen Jin, Jay F. Lofstead, Manish Parashar, Karsten Schwan, Matthew Wolf
2009 — conf
Plasma fusion code coupling using scalable I/O services and scientific workflows.
SC-WORKS
Norbert Podhorszki, Scott Klasky, Qing Liu, Ciprian Docan, Manish Parashar, Hasan Abbasi, Jay F. Lofstead, Karsten Schwan, Matthew Wolf, Fang Zheng, Julian Cummings
2009 — ch.
Scientific Process Automation and Workflow Management.
Scientific Data Management
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
2009 B conf
Tracking Files in the Kepler Provenance Framework.
SSDBM
Pierre Mouallem, Roselyne Barreto, Scott Klasky, Norbert Podhorszki, Mladen A. Vouk
2008 — conf
Collaborative visualization spaces for petascale simulations.
CTS
Scott Klasky, Roselyne Barreto, Ayla Khan, Manish Parashar, Norbert Podhorszki, Steven G. Parker, Deborah Silver, Mladen A. Vouk
2008 A conf
DART: a substrate for high speed asynchronous data IO.
HPDC
Ciprian Docan, Manish Parashar, Scott Klasky
2008 — conf
Flexible IO and integration for scientific codes through the adaptable IO system (ADIOS).
CLADE
Jay F. Lofstead, Scott Klasky, Karsten Schwan, Norbert Podhorszki, Chen Jin
2007 J jnl
A self-managing wide-area data streaming service.
Clust. Comput.
Viraj Bhat, Manish Parashar, Hua Liu, Nagarajan Kandasamy, Mohit Khandekar, Scott Klasky, Sherif Abdelwahed
2007 — conf
Experiments with in-transit processing for data intensive grid workflows.
GRID
Viraj Bhat, Manish Parashar, Scott Klasky
2007 A conf
Using MPI file caching to improve parallel write performance for large-scale scientific applications.
SC
Wei-keng Liao, Avery Ching, Kenin Coloma, Arifa Nisar, Alok N. Choudhary, Jacqueline Chen, Ramanan Sankaran, Scott Klasky
2007 — conf
Workflow automation for processing plasma fusion simulation data.
WORKS@HPDC
Norbert Podhorszki, Bertram Ludäscher, Scott Klasky
2006 — conf
A Self-Managing Wide-Area Data Streaming Service using Model-based Online Control.
GRID
Viraj Bhat, Manish Parashar, Mohit Khandekar, Nagarajan Kandasamy, Scott Klasky
2006 — conf
Automation of Network-Based Scientific Workflows.
Grid-Based Problem Solving Environments
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
2006 Misc conf
Experiments with Wide Area Data Coupling Using the Seine Coupling Framework.
HiPC
Li Zhang, Manish Parashar, Scott Klasky
2006 A conf
S04 - Introduction to scientific workflow management and the Kepler system.
SC
Ilkay Altintas, Bertram Ludäscher, Scott Klasky, Mladen A. Vouk
2006 — conf
The Center for Plasma Edge Simulation Workflow Requirements.
ICDE Workshops
Scott Klasky, Bertram Ludäscher, Manish Parashar
2006 A conf
Ultra-scale visualization - Workshop on ultra-scale visualization.
SC
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
2005 — conf
An autonomic service architecture for self-managing grid applications.
GRID
Hua Liu, Viraj Bhat, Manish Parashar, Scott Klasky
2005 J jnl
Grid Support for Collaborative Control Room in Fusion Science.
Clust. Comput.
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
2004 — conf
Grids for Experimental Science: The Virtual Control Room.
CLADE
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
2004 — conf
High Performance Threaded Data Streaming for Large Scale Simulations.
GRID
Viraj Bhat, Scott Klasky, Scott Atchley, Micah D. Beck, Douglas McCune, Manish Parashar
2004 A conf
Visualizing Gyrokinetic Simulations.
IEEE Visualization
David Crawford, Kwan-Liu Ma, Min-Yu Huang, Scott Klasky, Stéphane Ethier
2003 A conf
Grid -Based Parallel Data Streaming implemented for the Gyrokinetic Toroidal Code.
SC
Scott Klasky, Stéphane Ethier, Zhihong Lin, K. Martins, Douglas McCune, Ravi Samtaney
1998 J jnl
Scivis.
Concurr. Pract. Exp.
Byeongseob Ki, Scott Klasky
1997 J jnl
Collaborative Scientific Data Visualization.
Concurr. Pract. Exp.
Byeongseob Ki, Scott Klasky
1997 — conf
HPF for Numerical Relativity.
PP
Geoffrey C. Fox, Tomasz Haupt, Scott Klasky
1993 J jnl
Visualizing Complex Patterns in the Spread of Head and Neck Cancers.
Int. J. High Perform. Comput. Appl.
Lincoln Gray, Scott Klasky, Robert Byers