Norbert Podhorszki

ORCID

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 57

Top Venues

CoRR

CLUSTER

ICDCS

IEEE Trans. Parallel Distributed Syst.

Publications

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 (2024)
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 (2024)
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)
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)
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 (2023)
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 (2023)
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)
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 (2022)
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) (2022)
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) (2022)
Junmin Gu, Greg Eisenhauer, Scott Klasky, Norbert Podhorszki, Ruonan Wang, Kesheng Wu
Exploring Large All-Flash Storage System with Scientific Simulation. SSDBM (2022)
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) (2022)
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) (2022)
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) (2022)
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)
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 (2021)
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)
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)
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)
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 (2021)
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)
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)
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) (2020)
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) (2020)
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)
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)
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 (2020)
Dan Huang, Zhenlu Qin, Qing Liu, Norbert Podhorszki, Scott Klasky
A Comprehensive Study of In-Memory Computing on Large HPC Systems. ICDCS (2020)
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)
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)
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)
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)
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 (2020)
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)
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) (2019)
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) (2019)
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)
Justin M. Wozniak, Matthieu Dorier, Robert B. Ross, Tong Shu, Tahsin M. Kurç, Li Tang, Norbert Podhorszki, Matthew Wolf
MPI jobs within MPI jobs: A practical way of enabling task-level fault-tolerance in HPC workflows. Future Gener. Comput. Syst. 101 (2019)
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)
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) (2018)
Mark Kim, James Kress, Jong Choi, Norbert Podhorszki, Scott Klasky, Matthew Wolf, Kshitij Mehta, Kevin A. Huck, Berk Geveci, Sujin Phillip, Robert Maynard, Hanqi Guo, Tom Peterka, Kenneth Moreland, Choong-Seock Chang, Julien Dominski, Michael Churchill, David Pugmire
In Situ Analysis and Visualization of Fusion Simulations: Lessons Learned. ISC Workshops (2018)
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)
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)
Junmin Gu, Scott Klasky, Norbert Podhorszki, Ji Qiang, Kesheng Wu
Querying Large Scientific Data Sets with Adaptable IO System ADIOS. SCFA (2018)
Tzu-Hsien Wu, Jerry Chi-Yuan Chou, Norbert Podhorszki, Junmin Gu, Yuan Tian, Scott Klasky, Kesheng Wu
Apply Block Index Technique to Scientific Data Analysis and I/O Systems. CCGrid (2017)
Axel Huebl, René Widera, Felix Schmitt, Alexander Matthes, Norbert Podhorszki, Jong Youl Choi, Scott Klasky, Michael Bussmann
On the Scalability of Data Reduction Techniques in Current and Upcoming HPC Systems from an Application Perspective. ISC Workshops (2017)
Yuhua Guo, Qing Liu, Weijun Xiao, Ping Huang, Norbert Podhorszki, Scott Klasky, Xubin He
SELF: A High Performance and Bandwidth Efficient Approach to Exploiting Die-Stacked DRAM as Part of Memory. MASCOTS (2017)
Tao Lu, Eric Suchyta, Jong Youl Choi, Norbert Podhorszki, Scott Klasky, Qing Liu, David Pugmire, Matthew Wolf, Mark Ainsworth
Canopus: Enabling Extreme-Scale Data Analytics on Big HPC Storage via Progressive Refactoring. HotStorage (2017)
Jeremy Logan, Jong Youl Choi, Matthew Wolf, George Ostrouchov, Lipeng Wan, Norbert Podhorszki, William F. Godoy, Scott Klasky, Erich Lohrmann, Greg Eisenhauer, Chad Wood, Kevin A. Huck
Extending Skel to Support the Development and Optimization of Next Generation I/O Systems. CLUSTER (2017)
Scott Klasky, Eric Suchyta, Mark Ainsworth, Qing Liu, Ben Whitney, Matthew Wolf, Jong Youl Choi, Ian T. Foster, Mark Kim, Jeremy Logan, Kshitij Mehta, Todd S. Munson, George Ostrouchov, Manish Parashar, Norbert Podhorszki, David Pugmire, Lipeng Wan
Exacution: Enhancing Scientific Data Management for Exascale. ICDCS (2017)
Tao Lu, Eric Suchyta, David Pugmire, Jong Choi, Scott Klasky, Qing Liu, Norbert Podhorszki, Mark Ainsworth, Matthew Wolf
Canopus: A Paradigm Shift Towards Elastic Extreme-Scale Data Analytics on HPC Storage. CLUSTER (2017)
Qing Liu, Norbert Podhorszki, Jong Youl Choi, Jeremy Logan, Matthew Wolf, Scott Klasky, Tahsin M. Kurç, Xubin He
StoreRush: An Application-Level Approach to Harvesting Idle Storage in a Best Effort Environment. ICCS (2017)
David Pugmire, Ebru Bozdag, Matthieu Lefebvre, Jeroen Tromp, Dimitri Komatitsch, Daniel Peter, Norbert Podhorszki, Judith Hill
Pillars of the Mantle: Imaging the Interior of the Earth with Adjoint Tomography. PEARC (2017)
Bing Xie, Jeffrey S. Chase, David Dillow, Scott Klasky, Jay F. Lofstead, Sarp Oral, Norbert Podhorszki
Output Performance Study on a Production Petascale Filesystem. ISC Workshops (2017)
Jong Youl Choi, Jeremy Logan, Matthew Wolf, George Ostrouchov, Tahsin M. Kurç, Qing Liu, Norbert Podhorszki, Scott Klasky, Melissa Romanus, Qian Sun, Manish Parashar, Randy Michael Churchill, Choong-Seock Chang
TGE: Machine Learning Based Task Graph Embedding for Large-Scale Topology Mapping. CLUSTER (2017)
Axel Huebl, René Widera, Felix Schmitt, Alexander Matthes, Norbert Podhorszki, Jong Youl Choi, Scott Klasky, Michael Bussmann
On the Scalability of Data Reduction Techniques in Current and Upcoming HPC Systems from an Application Perspective. CoRR (2017)
Stephen Herbein, Sean McDaniel, Norbert Podhorszki, Jeremy Logan, Scott Klasky, Michela Taufer
Performance characterization of irregular I/O at the extreme scale. Parallel Comput. 51 (2016)
James Kress, Scott Klasky, Norbert Podhorszki, Jong Youl Choi, Hank Childs, David Pugmire
Loosely Coupled In Situ Visualization: A Perspective on Why It's Here to Stay. ISAV@SC (2015)
Tong Jin, Fan Zhang, Qian Sun, Hoang Bui, Melissa Romanus, Norbert Podhorszki, Scott Klasky, Hemanth Kolla, Jacqueline Chen, Robert Hager, Choong-Seock Chang, Manish Parashar
Exploring Data Staging Across Deep Memory Hierarchies for Coupled Data Intensive Simulation Workflows. IPDPS (2015)
Ciprian Docan, Fan Zhang, Tong Jin, Hoang Bui, Qian Sun, Julian C. Cummings, Norbert Podhorszki, Scott Klasky, Manish Parashar
ActiveSpaces: Exploring dynamic code deployment for extreme scale data processing. Concurr. Comput. Pract. Exp. 27 (14) (2015)
Ye Jin, Xiaosong Ma, Mingliang Liu, Qing Liu, Jeremy Logan, Norbert Podhorszki, Jong Youl Choi, Scott Klasky
Combining Phase Identification and Statistic Modeling for Automated Parallel Benchmark Generation. SIGMETRICS (2015)
Ye Jin, Mingliang Liu, Xiaosong Ma, Qing Liu, Jeremy Logan, Norbert Podhorszki, Jong Youl Choi, Scott Klasky
Combining phase identification and statistic modeling for automated parallel benchmark generation. PPOPP (2015)
Qing Liu, Jeremy Logan, Yuan Tian, Hasan Abbasi, Norbert Podhorszki, Jong Youl Choi, Scott Klasky, Roselyne Tchoua, Jay F. Lofstead, Ron A. Oldfield, Manish Parashar, Nagiza F. Samatova, Karsten Schwan, Arie Shoshani, Matthew Wolf, Kesheng Wu, Weikuan Yu
Hello ADIOS: the challenges and lessons of developing leadership class I/O frameworks. Concurr. Comput. Pract. Exp. 26 (7) (2014)
Jai Dayal, Drew Bratcher, Greg Eisenhauer, Karsten Schwan, Matthew Wolf, Xuechen Zhang, Hasan Abbasi, Scott Klasky, Norbert Podhorszki
Flexpath: Type-Based Publish/Subscribe System for Large-Scale Science Analytics. CCGRID (2014)
David A. Boyuka II, Sriram Lakshminarasimhan, Xiaocheng Zou, Zhenhuan Gong, John Jenkins, Eric R. Schendel, Norbert Podhorszki, Qing Liu, Scott Klasky, Nagiza F. Samatova
Transparent in Situ Data Transformations in ADIOS. CCGRID (2014)
Michael Matheny, Stephen Herbein, Norbert Podhorszki, Scott Klasky, Michela Taufer
Using surrogate-based modeling to predict optimal I/O parameters of applications at the extreme scale. ICPADS (2014)
Tong Jin, Fan Zhang, Qian Sun, Hoang Bui, Norbert Podhorszki, Scott Klasky, Hemanth Kolla, Jacqueline Chen, Robert Hager, Choong-Seock Chang, Manish Parashar
Leveraging deep memory hierarchies for data staging in coupled data-intensive simulation workflows. CLUSTER (2014)
Yanwei Zhang, Qing Liu, Scott Klasky, Matthew Wolf, Karsten Schwan, Greg Eisenhauer, Jong Youl Choi, Norbert Podhorszki
Active workflow system for near real-time extreme-scale science. PPAA@PPoPP (2014)
Yuan Tian, Zhuo Liu, Scott Klasky, Bin Wang, Hasan Abbasi, Shujia Zhou, Norbert Podhorszki, Tom Clune, Jeremy Logan, Weikuan Yu
A lightweight I/O scheme to facilitate spatial and temporal queries of scientific data analytics. MSST (2013)
Zhenhuan Gong, David A. Boyuka II, Xiaocheng Zou, Qing Liu, Norbert Podhorszki, Scott Klasky, Xiaosong Ma, Nagiza F. Samatova
PARLO: PArallel Run-Time Layout Optimization for Scientific Data Explorations with Heterogeneous Access Patterns. CCGRID (2013)
Yuan Tian, Scott Klasky, Weikuan Yu, Bin Wang, Hasan Abbasi, Norbert Podhorszki, Ray W. Grout
DynaM: Dynamic Multiresolution Data Representation for Large-Scale Scientific Analysis. NAS (2013)
Roselyne Tchoua, Jong Youl Choi, Scott Klasky, Qing Liu, Jeremy Logan, Kenneth Moreland, Jingqing Mu, Manish Parashar, Norbert Podhorszki, David Pugmire, Matthew Wolf
ADIOS Visualization Schema: A First Step Towards Improving Interdisciplinary Collaboration in High Performance Computing. e-Science (2013)
Tong Jin, Fan Zhang, Qian Sun, Hoang Bui, Manish Parashar, Hongfeng Yu, Scott Klasky, Norbert Podhorszki, Hasan Abbasi
Using cross-layer adaptations for dynamic data management in large scale coupled scientific workflows. SC (2013)
George Teodoro, Tony Pan, Tahsin M. Kurç, Jun Kong, Lee A. D. Cooper, Norbert Podhorszki, Scott Klasky, Joel H. Saltz
High-throughput Analysis of Large Microscopy Image Datasets on CPU-GPU Cluster Platforms. IPDPS (2013)
Jai Dayal, Jianting Cao, Greg Eisenhauer, Karsten Schwan, Matthew Wolf, Fang Zheng, Hasan Abbasi, Scott Klasky, Norbert Podhorszki, Jay F. Lofstead
I/O Containers: Managing the Data Analytics and Visualization Pipelines of High End Codes. IPDPS Workshops (2013)
Qing Liu, Norbert Podhorszki, Jeremy Logan, Scott Klasky
Runtime I/O Re-Routing + Throttling on HPC Storage. HotStorage (2013)
Tuan-Anh Nguyen, Greg Eisenhauer, Karsten Schwan, Matthew Wolf, Hasan Abbasi, Scott Klasky, Norbert Podhorszki
Resource Provisioning for Staging Components. IPDPS Workshops (2013)
Fang Zheng, Hongbo Zou, Greg Eisenhauer, Karsten Schwan, Matthew Wolf, Jai Dayal, Tuan-Anh Nguyen, Jianting Cao, Hasan Abbasi, Scott Klasky, Norbert Podhorszki, Hongfeng Yu
FlexIO: I/O Middleware for Location-Flexible Scientific Data Analytics. IPDPS (2013)
Jeremy Logan, Scott Klasky, Hasan Abbasi, Qing Liu, George Ostrouchov, Manish Parashar, Norbert Podhorszki, Yuan Tian, Matthew Wolf
Understanding I/O Performance Using I/O Skeletal Applications. Euro-Par (2012)
Yuan Tian, Scott Klasky, Weikuan Yu, Hasan Abbasi, Bin Wang, Norbert Podhorszki, Ray W. Grout, Matthew Wolf
A system-aware optimized data organization for efficient scientific analytics. HPDC (2012)
Jong Youl Choi, Hasan Abbasi, David Pugmire, Norbert Podhorszki, Scott Klasky, Cristian Capdevila, Manish Parashar, Matthew Wolf, Judy Qiu, Geoffrey C. Fox
Mining hidden mixture context with ADIOS-P to improve predictive pre-fetcher accuracy. eScience (2012)
Yuan Tian, Scott Klasky, Weikuan Yu, Hasan Abbasi, Bin Wang, Norbert Podhorszki, Ray W. Grout, Matthew Wolf
SMART-IO: SysteM-AwaRe Two-Level Data Organization for Efficient Scientific Analytics. MASCOTS (2012)
Roselyne Tchoua, Hasan Abbasi, Scott Klasky, Qing Liu, Norbert Podhorszki, David Pugmire, Yuan Tian, Matthew Wolf
Collaborative monitoring and visualization of HPC data. CTS (2012)
Bing Xie, Jeffrey S. Chase, David Dillow, Oleg Drokin, Scott Klasky, Sarp Oral, Norbert Podhorszki
Characterizing output bottlenecks in a supercomputer. SC (2012)
Hongbo Zou, Fang Zheng, Matthew Wolf, Greg Eisenhauer, Karsten Schwan, Hasan Abbasi, Qing Liu, Norbert Podhorszki, Scott Klasky
Quality-Aware Data Management for Large Scale Scientific Applications. SC Companion (2012)
Tong Jin, Fan Zhang, Manish Parashar, Scott Klasky, Norbert Podhorszki, Hasan Abbasi
A scalable messaging system for accelerating discovery from large scale scientific simulations. HiPC (2012)
Fan Zhang, Ciprian Docan, Manish Parashar, Scott Klasky, Norbert Podhorszki, Hasan Abbasi
Enabling In-situ Execution of Coupled Scientific Workflow on Multi-core Platform. IPDPS (2012)
Jinoh Kim, Hasan Abbasi, Luis Chacón, Ciprian Docan, Scott Klasky, Qing Liu, Norbert Podhorszki, Arie Shoshani, Kesheng Wu
Parallel in situ indexing for data-intensive computing. LDAV (2011)
Yuan Tian, Scott Klasky, Hasan Abbasi, Jay F. Lofstead, Ray W. Grout, Norbert Podhorszki, Qing Liu, Yandong Wang, Weikuan Yu
EDO: Improving Read Performance for Scientific Applications through Elastic Data Organization. CLUSTER (2011)
Jeremy Logan, Scott Klasky, Jay F. Lofstead, Hasan Abbasi, Stéphane Ethier, Ray W. Grout, Seung-Hoe Ku, Qing Liu, Xiaosong Ma, Manish Parashar, Norbert Podhorszki, Karsten Schwan, Matthew Wolf
Skel: Generative Software for Producing Skeletal I/O Applications. e-Science Workshops (2011)
Julian Cummings, Jay F. Lofstead, Karsten Schwan, Alexander Sim, Arie Shoshani, Ciprian Docan, Manish Parashar, Scott Klasky, Norbert Podhorszki, Roselyne Barreto
EFFIS: An End-to-end Framework for Fusion Integrated Simulation. PDP (2010)
Fang Zheng, Hasan Abbasi, Ciprian Docan, Jay F. Lofstead, Qing Liu, Scott Klasky, Manish Parashar, Norbert Podhorszki, Karsten Schwan, Matthew Wolf
PreDatA - preparatory data analytics on peta-scale machines. IPDPS (2010)
Ciprian Docan, Fan Zhang, Manish Parashar, Julian Cummings, Norbert Podhorszki, Scott Klasky
Experiments with Memory-to-Memory Coupling for End-to-End Fusion Simulation Workflows. CCGRID (2010)
Roselyne Tchoua, Scott Klasky, Norbert Podhorszki, Brad Grimm, Ayla Khan, Emanuele Santos, Cláudio T. Silva, Pierre Mouallem, Mladen A. Vouk
Collaborative monitoring and analysis for simulation scientists. CTS (2010)
Norbert Podhorszki
Analysis of the multi-phase copying garbage collection algorithm. Int. J. Comput. Sci. Eng. 4 (3) (2009)
Norbert Podhorszki, Scott Klasky, Qing Liu, Ciprian Docan, Manish Parashar, Hasan Abbasi, Jay F. Lofstead, Karsten Schwan, Matthew Wolf, Fang Zheng, Julian Cummings
Plasma fusion code coupling using scalable I/O services and scientific workflows. SC-WORKS (2009)
Pierre Mouallem, Roselyne Barreto, Scott Klasky, Norbert Podhorszki, Mladen A. Vouk
Tracking Files in the Kepler Provenance Framework. SSDBM (2009)
Emanuele Santos, Julien Tierny, Ayla Khan, Brad Grimm, Lauro Didier Lins, Juliana Freire, Valerio Pascucci, Cláudio T. Silva, Scott Klasky, Roselyne Barreto, Norbert Podhorszki
Enabling Advanced Visualization Tools in a Web-Based Simulation Monitoring System. eScience (2009)
Roselyne Barreto, Scott Klasky, Norbert Podhorszki, Pierre Mouallem, Mladen A. Vouk
Collaboration portal for petascale simulations. CTS (2009)
Luc Moreau, Bertram Ludäscher, Ilkay Altintas, Roger S. Barga, Shawn Bowers, Steven P. Callahan, George Chin Jr., Ben Clifford, Shirley Cohen, Sarah Cohen Boulakia, Susan B. Davidson, Ewa Deelman, Luciano A. Digiampietri, Ian T. Foster, Juliana Freire, James Frew, Joe Futrelle, Tara Gibson, Yolanda Gil, Carole A. Goble, Jennifer Golbeck, Paul Groth, David A. Holland, Sheng Jiang, Jihie Kim, David Koop, Ales Krenek, Timothy M. McPhillips, Gaurang Mehta, Simon Miles, Dominic Metzger, Steve Munroe, Jim Myers, Beth Plale, Norbert Podhorszki, Varun Ratnakar, Emanuele Santos, Carlos Eduardo Scheidegger, Karen Schuchardt, Margo I. Seltzer, Yogesh L. Simmhan, Cláudio T. Silva, Peter Slaughter, Eric G. Stephan, Robert Stevens, Daniele Turi, Huy T. Vo, Michael Wilde, Jun Zhao, Yong Zhao
Special Issue: The First Provenance Challenge. Concurr. Comput. Pract. Exp. 20 (5) (2008)

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Norbert Podhorszki