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Norbert Podhorszki

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

58

Venues

18

Active years

1998–2026

Best venue rank

A*

Where they publish

Papers

58 indexed papers, newest first.

YearVenueTitleAuthors
2026HPDCJANUS: Resilient and Adaptive Data Transmission for Enabling Timely and Efficient Cross-Facility Scientific Workflows.Vladislav Esaulov, Jieyang Chen, Norbert Podhorszki, Fred Suter, Scott Klasky, Anu G. Bourgeois, Lipeng Wan
2026HPDCQProR: An Efficient Framework for Quantity-of-Interest Based Progressive Retrieval with Guaranteed Error Control.Wenbo Li, Qian Gong, Xuan Wu, Jieyang Chen, Qing Liu, Xubin He, Norbert Podhorszki, Scott Klasky, Xin Liang
2025ICDEUnderstanding and Estimating Error Propagation in Neural Networks for Scientific Data Analysis.Weiming He, Qi Chen, Qian Gong, Jing Li, Qing Liu, Norbert Podhorszki, Scott Klasky, Ki Sung Jung, Cristian Lacey, Jackie Chen, Hongjian Zhu
2025SCError Analysis of Globally Distributed Workflow Management System.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, Frdric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie
2025SCData Management System Analysis for Distributed Computing Workloads.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, Frdric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie
2025SCHP-MDR: High-performance and Portable Data Refactoring and Progressive Retrieval with Advanced GPUs.Yanliang Li, Wenbo Li, Qian Gong, Qing Liu, Norbert Podhorszki, Scott Klasky, Xin Liang, Jieyang Chen
2025SCCGSim: A Simulation Framework for Large Scale Distributed Computing Environment.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, Frdric Suter, John Rembrandt Steele, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov
2024CLUSTEREnabling High- Throughput Parallel I/O in Particle-in-Cell Monte Carlo Simulations with openPMD and Darshan I/O Monitoring.Jeremy J. Williams, Daniel Medeiros, Stefan Costea, David Tskhakaya, Franz Poeschel, Ren Widera, Axel Huebl, Scott Klasky, Norbert Podhorszki, Leon Kos, Ales Podolnik, Jakub Hromadka, Tapish Narwal, Klaus Steiniger, Michael Bussmann, Erwin Laure, Stefano Markidis
2024SCAI Surrogate Model for Distributed Computing Workloads.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, Frdric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie
2024SCTango: A Cross-layer Approach to Managing I/O Interference over Local Ephemeral Storage.Zhenbo Qiao, Qirui Tian, Zhenlu Qin, Jinzhen Wang, Qing Liu, Norbert Podhorszki, Scott Klasky, Hongjian Zhu
2024SCError-controlled Progressive Retrieval of Scientific Data under Derivable Quantities of Interest.Xuan Wu, Qian Gong, Jieyang Chen, Qing Liu, Norbert Podhorszki, Xin Liang, Scott Klasky
2024SBAC-PADTo Derive or Not to Derive: I/O Libraries Take Charge of Derived Quantities Computation.Ana Gainaru, Norbert Podhorszki, Liz Dulac, Qian Gong, Scott Klasky, Greg Eisenhauer, Antonios Kougkas, Xian-He Sun, Jay F. Lofstead
2023ICDEImproving Progressive Retrieval for HPC Scientific Data using Deep Neural Network.Jinzhen Wang, Xin Liang, Ben Whitney, Jieyang Chen, Qian Gong, Xubin He, Lipeng Wan, Scott Klasky, Norbert Podhorszki, Qing Liu
2022CLUSTERHybrid Analysis of Fusion Data for Online Understanding of Complex Science on Extreme Scale Computers.Eric Suchyta, Jong Youl Choi, Seung-Hoe Ku, David Pugmire, Ana Gainaru, Kevin A. Huck, Ralph Kube, Aaron Scheinberg, Frdric Suter, Choong-Seock Chang, Todd S. Munson, Norbert Podhorszki, Scott Klasky
2022SSDBMExploring Large All-Flash Storage System with Scientific Simulation.Junmin Gu, Greg Eisenhauer, Scott Klasky, Norbert Podhorszki, Ruonan Wang, Kesheng Wu
2021SCError-controlled, progressive, and adaptable retrieval of scientific data with multilevel decomposition.Xin Liang, Qian Gong, Jieyang Chen, Ben Whitney, Lipeng Wan, Qing Liu, David Pugmire, Rick Archibald, Norbert Podhorszki, Scott Klasky
2021SCUnbalanced Parallel I/O: An Often-Neglected Side Effect of Lossy Scientific Data Compression.Xinying Wang, Lipeng Wan, Jieyang Chen, Qian Gong, Ben Whitney, Jinzhen Wang, Ana Gainaru, Qing Liu, Norbert Podhorszki, Dongfang Zhao, Feng Yan, Scott Klasky
2020ICDCSA Comprehensive Study of In-Memory Computing on Large HPC Systems.Dan Huang, Zhenlu Qin, Qing Liu, Norbert Podhorszki, Scott Klasky
2020SCTaming I/O variation on QoS-less HPC storage: what can applications do?Zhenbo Qiao, Qing Liu, Norbert Podhorszki, Scott Klasky, Jieyang Chen
2020SCProcessing full-scale square kilometre array data on the summit supercomputer.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
2019ICDCSA Vision for Managing Extreme-Scale Data Hoards.Jeremy Logan, Kshitij Mehta, Gerd Heber, Scott Klasky, Tahsin M. Kur, Norbert Podhorszki, Patrick M. Widener, Matthew Wolf
2018ICDCSA View from ORNL: Scientific Data Research Opportunities in the Big Data Age.Scott Klasky, Matthew Wolf, Mark Ainsworth, Chuck Atkins, Jong Choi, Greg Eisenhauer, Berk Geveci, William F. Godoy, Mark Kim, James Kress, Tahsin M. Kur, Qing Liu, Jeremy Logan, Arthur B. Maccabe, Kshitij Mehta, George Ostrouchov, Manish Parashar, Norbert Podhorszki, David Pugmire, Eric Suchyta, Lipeng Wan, Ruonan Wang
2017CCGRIDApply Block Index Technique to Scientific Data Analysis and I/O Systems.Tzu-Hsien Wu, Jerry Chi-Yuan Chou, Norbert Podhorszki, Junmin Gu, Yuan Tian, Scott Klasky, Kesheng Wu
2017CLUSTERTGE: Machine Learning Based Task Graph Embedding for Large-Scale Topology Mapping.Jong Youl Choi, Jeremy Logan, Matthew Wolf, George Ostrouchov, Tahsin M. Kur, Qing Liu, Norbert Podhorszki, Scott Klasky, Melissa Romanus, Qian Sun, Manish Parashar, Randy Michael Churchill, Choong-Seock Chang
2017CLUSTERExtending Skel to Support the Development and Optimization of Next Generation I/O Systems.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
2017CLUSTERCanopus: A Paradigm Shift Towards Elastic Extreme-Scale Data Analytics on HPC Storage.Tao Lu, Eric Suchyta, David Pugmire, Jong Choi, Scott Klasky, Qing Liu, Norbert Podhorszki, Mark Ainsworth, Matthew Wolf
2017ICCSStoreRush: An Application-Level Approach to Harvesting Idle Storage in a Best Effort Environment.Qing Liu, Norbert Podhorszki, Jong Youl Choi, Jeremy Logan, Matthew Wolf, Scott Klasky, Tahsin M. Kur, Xubin He
2017ICDCSExacution: Enhancing Scientific Data Management for Exascale.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
2017MASCOTSSELF: A High Performance and Bandwidth Efficient Approach to Exploiting Die-Stacked DRAM as Part of Memory.Yuhua Guo, Qing Liu, Weijun Xiao, Ping Huang, Norbert Podhorszki, Scott Klasky, Xubin He
2015PPoPPCombining phase identification and statistic modeling for automated parallel benchmark generation.Ye Jin, Mingliang Liu, Xiaosong Ma, Qing Liu, Jeremy Logan, Norbert Podhorszki, Jong Youl Choi, Scott Klasky
2015SCLoosely Coupled In Situ Visualization: A Perspective on Why It's Here to Stay.James Kress, Scott Klasky, Norbert Podhorszki, Jong Youl Choi, Hank Childs, David Pugmire
2015SIGMETRICSCombining Phase Identification and Statistic Modeling for Automated Parallel Benchmark Generation.Ye Jin, Xiaosong Ma, Mingliang Liu, Qing Liu, Jeremy Logan, Norbert Podhorszki, Jong Youl Choi, Scott Klasky
2014CCGRIDTransparent in Situ Data Transformations in ADIOS.David A. Boyuka II, Sriram Lakshminarasimhan, Xiaocheng Zou, Zhenhuan Gong, John Jenkins, Eric R. Schendel, Norbert Podhorszki, Qing Liu, Scott Klasky, Nagiza F. Samatova
2014CCGRIDFlexpath: Type-Based Publish/Subscribe System for Large-Scale Science Analytics.Jai Dayal, Drew Bratcher, Greg Eisenhauer, Karsten Schwan, Matthew Wolf, Xuechen Zhang, Hasan Abbasi, Scott Klasky, Norbert Podhorszki
2014CLUSTERLeveraging deep memory hierarchies for data staging in coupled data-intensive simulation workflows.Tong Jin, Fan Zhang, Qian Sun, Hoang Bui, Norbert Podhorszki, Scott Klasky, Hemanth Kolla, Jacqueline Chen, Robert Hager, Choong-Seock Chang, Manish Parashar
2014ICPADSUsing surrogate-based modeling to predict optimal I/O parameters of applications at the extreme scale.Michael Matheny, Stephen Herbein, Norbert Podhorszki, Scott Klasky, Michela Taufer
2014PPoPPActive workflow system for near real-time extreme-scale science.Yanwei Zhang, Qing Liu, Scott Klasky, Matthew Wolf, Karsten Schwan, Greg Eisenhauer, Jong Youl Choi, Norbert Podhorszki
2013CCGRIDPARLO: PArallel Run-Time Layout Optimization for Scientific Data Explorations with Heterogeneous Access Patterns.Zhenhuan Gong, David A. Boyuka II, Xiaocheng Zou, Qing Liu, Norbert Podhorszki, Scott Klasky, Xiaosong Ma, Nagiza F. Samatova
2013SCUsing cross-layer adaptations for dynamic data management in large scale coupled scientific workflows.Tong Jin, Fan Zhang, Qian Sun, Hoang Bui, Manish Parashar, Hongfeng Yu, Scott Klasky, Norbert Podhorszki, Hasan Abbasi
2012EuroParUnderstanding I/O Performance Using I/O Skeletal Applications.Jeremy Logan, Scott Klasky, Hasan Abbasi, Qing Liu, George Ostrouchov, Manish Parashar, Norbert Podhorszki, Yuan Tian, Matthew Wolf
2012HiPCA scalable messaging system for accelerating discovery from large scale scientific simulations.Tong Jin, Fan Zhang, Manish Parashar, Scott Klasky, Norbert Podhorszki, Hasan Abbasi
2012HPDCA system-aware optimized data organization for efficient scientific analytics.Yuan Tian, Scott Klasky, Weikuan Yu, Hasan Abbasi, Bin Wang, Norbert Podhorszki, Ray W. Grout, Matthew Wolf
2012MASCOTSSMART-IO: SysteM-AwaRe Two-Level Data Organization for Efficient Scientific Analytics.Yuan Tian, Scott Klasky, Weikuan Yu, Hasan Abbasi, Bin Wang, Norbert Podhorszki, Ray W. Grout, Matthew Wolf
2012SCCharacterizing output bottlenecks in a supercomputer.Bing Xie, Jeffrey S. Chase, David Dillow, Oleg Drokin, Scott Klasky, Sarp Oral, Norbert Podhorszki
2012SCQuality-Aware Data Management for Large Scale Scientific Applications.Hongbo Zou, Fang Zheng, Matthew Wolf, Greg Eisenhauer, Karsten Schwan, Hasan Abbasi, Qing Liu, Norbert Podhorszki, Scott Klasky
2011CLUSTEREDO: Improving Read Performance for Scientific Applications through Elastic Data Organization.Yuan Tian, Scott Klasky, Hasan Abbasi, Jay F. Lofstead, Ray W. Grout, Norbert Podhorszki, Qing Liu, Yandong Wang, Weikuan Yu
2010CCGRIDExperiments with Memory-to-Memory Coupling for End-to-End Fusion Simulation Workflows.Ciprian Docan, Fan Zhang, Manish Parashar, Julian Cummings, Norbert Podhorszki, Scott Klasky
2010PDPEFFIS: An End-to-end Framework for Fusion Integrated Simulation.Julian Cummings, Jay F. Lofstead, Karsten Schwan, Alexander Sim, Arie Shoshani, Ciprian Docan, Manish Parashar, Scott Klasky, Norbert Podhorszki, Roselyne Barreto
2009SCPlasma fusion code coupling using scalable I/O services and scientific workflows.Norbert Podhorszki, Scott Klasky, Qing Liu, Ciprian Docan, Manish Parashar, Hasan Abbasi, Jay F. Lofstead, Karsten Schwan, Matthew Wolf, Fang Zheng, Julian Cummings
2009SSDBMTracking Files in the Kepler Provenance Framework.Pierre Mouallem, Roselyne Barreto, Scott Klasky, Norbert Podhorszki, Mladen A. Vouk
2007HPDCWorkflow automation for processing plasma fusion simulation data.Norbert Podhorszki, Bertram Ludscher, Scott Klasky
2004ISPDCThe CanonicalProducer: An Instrument Monitoring Component of the Relational Grid Monitoring Architecture (R-GMA).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
2003CoopISR-GMA: An Information Integration System for Grid Monitoring.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
2003EuroParDemonstration of P-GRADE Job-Mode for the Grid.Pter Kacsuk, Rbert Lovas, Jzsef Kovcs, Ferenc Szalai, Gabor Gombs, Norbert Podhorszki, kos Horvth, Andrs Hornyi, Imre Szebernyi, Thierry Delaitre, Gbor Terstynszky, Agathocles Gourgoulis
2003EuroParPrewsentation and Analysis of Grid Performance Data.Norbert Podhorszki, Pter Kacsuk
2001EuroParFrom Cluster Monitoring to Grid Monitoring Based on GRM.Zoltn Balaton, Pter Kacsuk, Norbert Podhorszki, Ferenc Vajda
2001ICCSApplication Monitoring in the Grid with GRM and PROVE.Zoltn Balaton, Pter Kacsuk, Norbert Podhorszki
1998PDPDataflow parallel database systems and LOGFLOW.Pter Kacsuk, Norbert Podhorszki