Norbert Podhorszki

168 papers A* 3A 23B 21C 12Misc 4Journal 53Unranked 49

Year	Rank	Type	Title / 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
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	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	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	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`	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	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	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	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	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	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
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`	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	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	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	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	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`	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	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`	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`	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	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	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`	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	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	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`	MPI jobs within MPI jobs: A practical way of enabling task-level fault-tolerance in HPC workflows. Future Gener. Comput. Syst. Justin M. Wozniak, Matthieu Dorier, Robert B. Ross, Tong Shu, Tahsin M. Kurç, Li Tang, Norbert Podhorszki, Matthew Wolf
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`	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`	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	—	`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`	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	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`	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`	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	—	`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	—	`conf`	Pillars of the Mantle: Imaging the Interior of the Earth with Adjoint Tomography. PEARC David Pugmire, Ebru Bozdag, Matthieu Lefebvre, Jeroen Tromp, Dimitri Komatitsch, Daniel Peter, Norbert Podhorszki, Judith C. Hill
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	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
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`	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	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	—	`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
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	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	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	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
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	—	`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`	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	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	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`	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	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`	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	—	`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	—	`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	—	`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`	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	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	—	`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	—	`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	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	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`	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	J	`jnl`	Analysis of the multi-phase copying garbage collection algorithm. Int. J. Comput. Sci. Eng. Norbert Podhorszki
2009	—	`conf`	Collaboration portal for petascale simulations. CTS Roselyne Barreto, Scott Klasky, Norbert Podhorszki, Pierre Mouallem, Mladen A. Vouk
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	—	`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	—	`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
2008	J	`jnl`	From computation models to models of provenance: the RWS approach. Concurr. Comput. Pract. Exp. Bertram Ludäscher, Norbert Podhorszki, Ilkay Altintas, Shawn Bowers, Timothy M. McPhillips
2008	J	`jnl`	Special Issue: The First Provenance Challenge. Concurr. Comput. Pract. Exp. 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
2007	A	`conf`	SZTAKI Desktop Grid: a Modular and Scalable Way of Building Large Computing Grids. IPDPS Zoltán Balaton, Gabor Gombás, Péter Kacsuk, Adam Kornafeld, József Kovács, Csaba Attila Marosi, Gabor Vida, Norbert Podhorszki, Tamás Kiss
2007	—	`conf`	Workflow automation for processing plasma fusion simulation data. WORKS@HPDC Norbert Podhorszki, Bertram Ludäscher, 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	—	`conf`	Scalable Desktop Grid System. VECPAR Péter Kacsuk, Norbert Podhorszki, Tamás Kiss
2006	B	`conf`	Scientific Workflows: More e-Science Mileage from Cyberinfrastructure. e-Science Bertram Ludäscher, Shawn Bowers, Timothy M. McPhillips, Norbert Podhorszki
2005	—	`conf`	Fault Tolerance in the R-GMA Information and Monitoring System. EGC Rob Byrom, Brian A. Coghlan, Andrew W. Cooke, Roney Cordenonsi, Linda Cornwall, Martin Craig, Abdeslem Djaoui, Alastair Duncan, Steve Fisher, Alasdair J. G. Gray, Steve Hicks, Stuart Kenny, Jason Leake, Oliver Lyttleton, James Magowan, Robin Middleton, Werner Nutt, David O'Callaghan, Norbert Podhorszki, Paul Taylor, John Walk, Antony J. Wilson
2005	J	`jnl`	The CanonicalProducer: An instrument monitoring component of the Relational Grid Monitoring Architecture (R-GMA). Sci. Program. Stuart Kenny, Brian A. Coghlan, David O'Callaghan, John Ryan, Rob Byrom, Laurence Field, Steve Hicks, Manish Soni, Antony J. Wilson, Xiaomei Zhu, Roney Cordenonsi, Ari Datta, Linda Cornwall, Abdeslem Djaoui, Norbert Podhorszki
2004	—	`conf`	Analysis of the Multi-Phase Copying Garbage Collection Algorithm. DAPSYS Norbert Podhorszki
2004	—	`conf`	Monitoring Message-Passing Parallel Applications in the Grid with GRM and Mercury Monitor. European Across Grids Conference Norbert Podhorszki, Zoltán Balaton, Gabor Gombás
2004	—	`conf`	The CanonicalProducer: An Instrument Monitoring Component of the Relational Grid Monitoring Architecture (R-GMA). ISPDC/HeteroPar Rob Byrom, Brian A. Coghlan, Andrew W. Cooke, Roney Cordenonsi, Linda Cornwall, Ari Datta, Abdeslem Djaoui, Laurence Field, Steve Fisher, Steve Hicks, Stuart Kenny, James Magowan, Werner Nutt, David O'Callaghan, Manfred Oevers, Norbert Podhorszki, John Ryan, Manish Soni, Paul Taylor, Antony J. Wilson, Xiaomei Zhu
2004	J	`jnl`	The Relational Grid Monitoring Architecture: Mediating Information about the Grid. J. Grid Comput. Andrew W. Cooke, Alasdair J. G. Gray, Werner Nutt, James Magowan, Manfred Oevers, Paul Taylor, Roney Cordenonsi, Rob Byrom, Linda Cornwall, Abdeslem Djaoui, Laurence Field, Steve Fisher, Steve Hicks, Jason Leake, Robin Middleton, Antony J. Wilson, Xiaomei Zhu, Norbert Podhorszki, Brian A. Coghlan, Stuart Kenny, David O'Callaghan, John Ryan
2004	—	`conf`	Workflow Support for Complex Grid Applications: Integrated and Portal Solutions. European Across Grids Conference Róbert Lovas, Gábor Dózsa, Péter Kacsuk, Norbert Podhorszki, Dániel Drótos
2003	—	`conf`	Demonstration of P-GRADE Job-Mode for the Grid. Euro-Par Péter Kacsuk, Róbert Lovas, József Kovács, Ferenc Szalai, Gabor Gombás, Norbert Podhorszki, Ákos Horváth, András Horányi, Imre Szeberényi, Thierry Delaitre, Gábor Terstyánszky, Agathocles Gourgoulis
2003	—	`conf`	Monitoring Message Passing Applications in the Grid with GRM and R-GMA. PVM/MPI Norbert Podhorszki, Péter Kacsuk
2003	J	`jnl`	P-GRADE: A Grid Programming Environment. J. Grid Comput. Péter Kacsuk, Gábor Dózsa, József Kovács, Róbert Lovas, Norbert Podhorszki, Zoltán Balaton, Gabor Gombás
2003	J	`jnl`	Parallel, distributed and network-based processing. J. Syst. Archit. Ferenc Vajda, Norbert Podhorszki
2003	—	`conf`	Prewsentation and Analysis of Grid Performance Data. Euro-Par Norbert Podhorszki, Péter Kacsuk
2003	—	`conf`	R-GMA: An Information Integration System for Grid Monitoring. OTM Andrew W. Cooke, Alasdair J. G. Gray, Lisha Ma, Werner Nutt, James Magowan, Manfred Oevers, Paul Taylor, Rob Byrom, Laurence Field, Steve Hicks, Jason Leake, Manish Soni, Antony J. Wilson, Roney Cordenonsi, Linda Cornwall, Abdeslem Djaoui, Steve Fisher, Norbert Podhorszki, Brian A. Coghlan, Stuart Kenny, David O'Callaghan
2003	J	`jnl`	R-GMA: First results after deployment CoRR Rob Byrom, Brian A. Coghlan, Andrew W. Cooke, Roney Cordenonsi, Linda Cornwall, Ari Datta, Abdeslem Djaoui, Laurence Field, Steve Fisher, Steve Hicks, Stuart Kenny, James Magowan, Werner Nutt, David O'Callaghan, Manfred Oevers, Norbert Podhorszki, John Ryan, Manish Soni, Paul Taylor, Antony J. Wilson, Xiaomei Zhu
2003	J	`jnl`	Relational Grid Monitoring Architecture (R-GMA) CoRR Rob Byrom, Brian A. Coghlan, Andrew W. Cooke, Roney Cordenonsi, Linda Cornwall, Abdeslem Djaoui, Laurence Field, Steve Fisher, Steve Hicks, Stuart Kenny, Jason Leake, James Magowan, Werner Nutt, David O'Callaghan, Norbert Podhorszki, John Ryan, Manish Soni, Paul Taylor, Antony J. Wilson
2001	Misc	`conf`	Application Monitoring in the Grid with GRM and PROVE. International Conference on Computational Science (1) Zoltán Balaton, Péter Kacsuk, Norbert Podhorszki
2001	—	`conf`	From Cluster Monitoring to Grid Monitoring Based on GRM. Euro-Par Zoltán Balaton, Péter Kacsuk, Norbert Podhorszki, Ferenc Vajda
2001	J	`jnl`	Semi-on-line Monitoring of P-GRADE Applications. Parallel Distributed Comput. Pract. Norbert Podhorszki, Péter Kacsuk
2000	J	`jnl`	Logicflow execution model for parallel databases. Future Gener. Comput. Syst. Péter Kacsuk, Norbert Podhorszki
2000	—	`ed.`	Recent Advances in Parallel Virtual Machine and Message Passing Interface, 7th European PVM/MPI Users' Group Meeting, Balatonfüred, Hungary, September 2000, Proceedings PVM/MPI Jack J. Dongarra, Péter Kacsuk, Norbert Podhorszki
1998	C	`conf`	Dataflow parallel database systems and LOGFLOW. PDP Péter Kacsuk, Norbert Podhorszki