Dataflow parallel database systems and LOGFLOW. - Péter Kacsuk; Norbert Podhorszki (PDP, 1998)

Logicflow execution model for parallel databases. - Péter Kacsuk; Norbert Podhorszki (Future Gener. Comput. Syst., 2000)

From Cluster Monitoring to Grid Monitoring Based on GRM. - Zoltán Balaton; Péter Kacsuk; Norbert Podhorszki; Ferenc Vajda (Euro-Par, 2001)

Application Monitoring in the Grid with GRM and PROVE. - Zoltán Balaton; Péter Kacsuk; Norbert Podhorszki (International Conference on Computational Science (1), 2001)

Semi-on-line Monitoring of P-GRADE Applications. - Norbert Podhorszki; Péter Kacsuk (Parallel Distributed Comput. Pract., 2001)

R-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; et al. (OTM, 2003)

Demonstration of P-GRADE Job-Mode for the Grid. - Péter Kacsuk; Róbert Lovas; József Kovács; Ferenc Szalai; Gabor Gombás; Norbert Podhorszki; Ákos Horváth 003; András Horányi; Imre Szeberényi; Thierry Delaitre; Gábor Terstyánszky; Agathocles Gourgoulis (Euro-Par, 2003)

Prewsentation and Analysis of Grid Performance Data. - Norbert Podhorszki; Péter Kacsuk (Euro-Par, 2003)

Monitoring Message Passing Applications in the Grid with GRM and R-GMA. - Norbert Podhorszki; Péter Kacsuk (PVM/MPI, 2003)

R-GMA: First results after deployment - 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; et al. (CoRR, 2003)

Relational Grid Monitoring Architecture (R-GMA) - 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; et al. (CoRR, 2003)

P-GRADE: A Grid Programming Environment. - Péter Kacsuk; Gábor Dózsa; József Kovács; Róbert Lovas; Norbert Podhorszki; Zoltán Balaton; Gabor Gombás (J. Grid Comput., 2003)

Parallel, distributed and network-based processing. - Ferenc Vajda; Norbert Podhorszki (J. Syst. Archit., 2003)

Workflow Support for Complex Grid Applications: Integrated and Portal Solutions. - Róbert Lovas; Gábor Dózsa; Péter Kacsuk; Norbert Podhorszki; Dániel Drótos (European Across Grids Conference, 2004)

Monitoring Message-Passing Parallel Applications in the Grid with GRM and Mercury Monitor. - Norbert Podhorszki; Zoltán Balaton; Gabor Gombás (European Across Grids Conference, 2004)

The 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; et al. (ISPDC/HeteroPar, 2004)

The Relational Grid Monitoring Architecture: Mediating Information about the Grid. - 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; et al. (J. Grid Comput., 2004)

Fault Tolerance in the R-GMA Information and Monitoring System. - 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; et al. (EGC, 2005)

The CanonicalProducer: An instrument monitoring component of the Relational Grid Monitoring Architecture (R-GMA). - 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; et al. (Sci. Program., 2005)

Scientific Workflows: More e-Science Mileage from Cyberinfrastructure. - Bertram Ludäscher; Shawn Bowers; Timothy M. McPhillips; Norbert Podhorszki (e-Science, 2006)

Automation of Network-Based Scientific Workflows. - 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; et al. (Grid-Based Problem Solving Environments, 2006)

Scalable Desktop Grid System. - Péter Kacsuk; Norbert Podhorszki; Tamás Kiss (VECPAR, 2006)

Workflow automation for processing plasma fusion simulation data. - Norbert Podhorszki; Bertram Ludäscher; Scott Klasky (WORKS@HPDC, 2007)

SZTAKI Desktop Grid: a Modular and Scalable Way of Building Large Computing Grids. - Zoltán Balaton; Gabor Gombás; Péter Kacsuk; Adam Kornafeld; József Kovács; Csaba Attila Marosi; Gabor Vida; Norbert Podhorszki; Tamás Kiss (IPDPS, 2007)

Flexible IO and integration for scientific codes through the adaptable IO system (ADIOS). - Jay F. Lofstead; Scott Klasky; Karsten Schwan; Norbert Podhorszki; Chen Jin (CLADE, 2008)

Collaborative visualization spaces for petascale simulations. - Scott Klasky; Roselyne Barreto; Ayla Khan; Manish Parashar; Norbert Podhorszki; Steven G. Parker; Deborah Silver; Mladen A. Vouk (CTS, 2008)

From computation models to models of provenance: the RWS approach. - Bertram Ludäscher; Norbert Podhorszki; Ilkay Altintas; Shawn Bowers; Timothy M. McPhillips (Concurr. Comput. Pract. Exp., 2008)

Special Issue: The First Provenance Challenge. - Luc Moreau 001; 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; et al. (Concurr. Comput. Pract. Exp., 2008)

Scientific Process Automation and Workflow 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; et al. (Scientific Data Management, 2009)

Collaboration portal for petascale simulations. - Roselyne Barreto; Scott Klasky; Norbert Podhorszki; Pierre Mouallem; Mladen A. Vouk (CTS, 2009)

Enabling Advanced Visualization Tools in a Web-Based Simulation Monitoring System. - Emanuele Santos; Julien Tierny; Ayla Khan; Brad Grimm; Lauro Didier Lins; Juliana Freire; Valerio Pascucci; Cláudio T. Silva; Scott Klasky; Roselyne Barreto; Norbert Podhorszki (eScience, 2009)

Plasma fusion code coupling using scalable I/O services and scientific workflows. - Norbert Podhorszki; Scott Klasky; Qing Liu 002; Ciprian Docan; Manish Parashar; Hasan Abbasi; Jay F. Lofstead; Karsten Schwan; Matthew Wolf; Fang Zheng 003; Julian Cummings (SC-WORKS, 2009)

Tracking Files in the Kepler Provenance Framework. - Pierre Mouallem; Roselyne Barreto; Scott Klasky; Norbert Podhorszki; Mladen A. Vouk (SSDBM, 2009)

Analysis of the multi-phase copying garbage collection algorithm. - Norbert Podhorszki (Int. J. Comput. Sci. Eng., 2009)

Experiments with Memory-to-Memory Coupling for End-to-End Fusion Simulation Workflows. - Ciprian Docan; Fan Zhang 004; Manish Parashar; Julian Cummings; Norbert Podhorszki; Scott Klasky (CCGRID, 2010)

Collaborative monitoring and analysis for simulation scientists. - Roselyne Tchoua; Scott Klasky; Norbert Podhorszki; Brad Grimm; Ayla Khan; Emanuele Santos; Cláudio T. Silva; Pierre Mouallem; Mladen A. Vouk (CTS, 2010)

PreDatA - preparatory data analytics on peta-scale machines. - Fang Zheng 003; Hasan Abbasi; Ciprian Docan; Jay F. Lofstead; Qing Liu 002; Scott Klasky; Manish Parashar; Norbert Podhorszki; Karsten Schwan; Matthew Wolf (IPDPS, 2010)

EFFIS: 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 (PDP, 2010)

EDO: Improving Read Performance for Scientific Applications through Elastic Data Organization. - Yuan Tian 004; Scott Klasky; Hasan Abbasi; Jay F. Lofstead; Ray W. Grout; Norbert Podhorszki; Qing Liu 002; Yandong Wang; Weikuan Yu (CLUSTER, 2011)

Skel: Generative Software for Producing Skeletal I/O Applications. - Jeremy Logan; Scott Klasky; Jay F. Lofstead; Hasan Abbasi; Stéphane Ethier; Ray W. Grout; Seung-Hoe Ku; Qing Liu 002; Xiaosong Ma; Manish Parashar; Norbert Podhorszki; Karsten Schwan; et al. (e-Science Workshops, 2011)

Parallel in situ indexing for data-intensive computing. - Jinoh Kim; Hasan Abbasi; Luis Chacón; Ciprian Docan; Scott Klasky; Qing Liu 002; Norbert Podhorszki; Arie Shoshani; Kesheng Wu (LDAV, 2011)

In Situ Processing. - Hank Childs; Kwan-Liu Ma; Hongfeng Yu 001; Brad Whitlock; Jeremy S. Meredith; Jean M. Favre; Scott Klasky; Norbert Podhorszki; Karsten Schwan; Matthew Wolf; Manish Parashar; Fan Zhang 004 (High Performance Visualization, 2012)

Collaborative monitoring and visualization of HPC data. - Roselyne Tchoua; Hasan Abbasi; Scott Klasky; Qing Liu 002; Norbert Podhorszki; David Pugmire; Yuan Tian 004; Matthew Wolf (CTS, 2012)

Mining hidden mixture context with ADIOS-P to improve predictive pre-fetcher accuracy. - Jong Youl Choi; Hasan Abbasi; David Pugmire; Norbert Podhorszki; Scott Klasky; Cristian Capdevila; Manish Parashar; Matthew Wolf; Judy Qiu; Geoffrey C. Fox (eScience, 2012)

Understanding I/O Performance Using I/O Skeletal Applications. - Jeremy Logan; Scott Klasky; Hasan Abbasi; Qing Liu 002; George Ostrouchov; Manish Parashar; Norbert Podhorszki; Yuan Tian 004; Matthew Wolf (Euro-Par, 2012)

A scalable messaging system for accelerating discovery from large scale scientific simulations. - Tong Jin 002; Fan Zhang 004; Manish Parashar; Scott Klasky; Norbert Podhorszki; Hasan Abbasi (HiPC, 2012)

A system-aware optimized data organization for efficient scientific analytics. - Yuan Tian 004; Scott Klasky; Weikuan Yu; Hasan Abbasi; Bin Wang 019; Norbert Podhorszki; Ray W. Grout; Matthew Wolf (HPDC, 2012)

Enabling In-situ Execution of Coupled Scientific Workflow on Multi-core Platform. - Fan Zhang 004; Ciprian Docan; Manish Parashar; Scott Klasky; Norbert Podhorszki; Hasan Abbasi (IPDPS, 2012)

SMART-IO: SysteM-AwaRe Two-Level Data Organization for Efficient Scientific Analytics. - Yuan Tian 004; Scott Klasky; Weikuan Yu; Hasan Abbasi; Bin Wang 019; Norbert Podhorszki; Ray W. Grout; Matthew Wolf (MASCOTS, 2012)

Characterizing output bottlenecks in a supercomputer. - Bing Xie; Jeffrey S. Chase; David Dillow; Oleg Drokin; Scott Klasky; Sarp Oral; Norbert Podhorszki (SC, 2012)

Quality-Aware Data Management for Large Scale Scientific Applications. - Hongbo Zou; Fang Zheng 003; Matthew Wolf; Greg Eisenhauer; Karsten Schwan; Hasan Abbasi; Qing Liu 002; Norbert Podhorszki; Scott Klasky (SC Companion, 2012)

PARLO: PArallel Run-Time Layout Optimization for Scientific Data Explorations with Heterogeneous Access Patterns. - Zhenhuan Gong; David A. Boyuka II; Xiaocheng Zou; Qing Liu 002; Norbert Podhorszki; Scott Klasky; Xiaosong Ma; Nagiza F. Samatova (CCGRID, 2013)

ADIOS Visualization Schema: A First Step Towards Improving Interdisciplinary Collaboration in High Performance Computing. - Roselyne Tchoua; Jong Youl Choi; Scott Klasky; Qing Liu 002; Jeremy Logan; Kenneth Moreland; Jingqing Mu; Manish Parashar; Norbert Podhorszki; David Pugmire; Matthew Wolf (e-Science, 2013)

Runtime I/O Re-Routing + Throttling on HPC Storage. - Qing Liu 002; Norbert Podhorszki; Jeremy Logan; Scott Klasky (HotStorage, 2013)

I/O Containers: Managing the Data Analytics and Visualization Pipelines of High End Codes. - Jai Dayal; Jianting Cao; Greg Eisenhauer; Karsten Schwan; Matthew Wolf; Fang Zheng 003; Hasan Abbasi; Scott Klasky; Norbert Podhorszki; Jay F. Lofstead (IPDPS Workshops, 2013)

Resource Provisioning for Staging Components. - Tuan-Anh Nguyen; Greg Eisenhauer; Karsten Schwan; Matthew Wolf; Hasan Abbasi; Scott Klasky; Norbert Podhorszki (IPDPS Workshops, 2013)

High-throughput Analysis of Large Microscopy Image Datasets on CPU-GPU Cluster Platforms. - George Teodoro; Tony Pan; Tahsin M. Kurç; Jun Kong 002; Lee A. D. Cooper; Norbert Podhorszki; Scott Klasky; Joel H. Saltz (IPDPS, 2013)

FlexIO: I/O Middleware for Location-Flexible Scientific Data Analytics. - Fang Zheng 003; Hongbo Zou; Greg Eisenhauer; Karsten Schwan; Matthew Wolf; Jai Dayal; Tuan-Anh Nguyen; Jianting Cao; Hasan Abbasi; Scott Klasky; Norbert Podhorszki; Hongfeng Yu 001 (IPDPS, 2013)

A lightweight I/O scheme to facilitate spatial and temporal queries of scientific data analytics. - Yuan Tian 004; Zhuo Liu; Scott Klasky; Bin Wang 019; Hasan Abbasi; Shujia Zhou; Norbert Podhorszki; Tom Clune; Jeremy Logan; Weikuan Yu (MSST, 2013)

DynaM: Dynamic Multiresolution Data Representation for Large-Scale Scientific Analysis. - Yuan Tian 004; Scott Klasky; Weikuan Yu; Bin Wang 019; Hasan Abbasi; Norbert Podhorszki; Ray W. Grout (NAS, 2013)

Using cross-layer adaptations for dynamic data management in large scale coupled scientific workflows. - Tong Jin 002; Fan Zhang 004; Qian Sun; Hoang Bui; Manish Parashar; Hongfeng Yu 001; Scott Klasky; Norbert Podhorszki; Hasan Abbasi (SC, 2013)

Transparent 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 002; Scott Klasky; Nagiza F. Samatova (CCGRID, 2014)

Flexpath: Type-Based Publish/Subscribe System for Large-Scale Science Analytics. - Jai Dayal; Drew Bratcher; Greg Eisenhauer; Karsten Schwan; Matthew Wolf; Xuechen Zhang 001; Hasan Abbasi; Scott Klasky; Norbert Podhorszki (CCGRID, 2014)

Leveraging deep memory hierarchies for data staging in coupled data-intensive simulation workflows. - Tong Jin 002; Fan Zhang 004; Qian Sun; Hoang Bui; Norbert Podhorszki; Scott Klasky; Hemanth Kolla; Jacqueline Chen; Robert Hager; Choong-Seock Chang; Manish Parashar (CLUSTER, 2014)

Using 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 (ICPADS, 2014)

Active workflow system for near real-time extreme-scale science. - Yanwei Zhang; Qing Liu 002; Scott Klasky; Matthew Wolf; Karsten Schwan; Greg Eisenhauer; Jong Youl Choi; Norbert Podhorszki (PPAA@PPoPP, 2014)

Hello ADIOS: the challenges and lessons of developing leadership class I/O frameworks. - Qing Liu 002; Jeremy Logan; Yuan Tian 004; Hasan Abbasi; Norbert Podhorszki; Jong Youl Choi; Scott Klasky; Roselyne Tchoua; Jay F. Lofstead; Ron A. Oldfield; Manish Parashar; Nagiza F. Samatova; et al. (Concurr. Comput. Pract. Exp., 2014)

Exploring Data Staging Across Deep Memory Hierarchies for Coupled Data Intensive Simulation Workflows. - Tong Jin 002; Fan Zhang 004; Qian Sun; Hoang Bui; Melissa Romanus; Norbert Podhorszki; Scott Klasky; Hemanth Kolla; Jacqueline Chen; Robert Hager; Choong-Seock Chang; Manish Parashar (IPDPS, 2015)

Loosely 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 (ISAV@SC, 2015)

Combining Phase Identification and Statistic Modeling for Automated Parallel Benchmark Generation. - Ye Jin; Xiaosong Ma; Mingliang Liu; Qing Liu 002; Jeremy Logan; Norbert Podhorszki; Jong Youl Choi; Scott Klasky (SIGMETRICS, 2015)

ActiveSpaces: Exploring dynamic code deployment for extreme scale data processing. - Ciprian Docan; Fan Zhang 004; Tong Jin 002; Hoang Bui; Qian Sun; Julian C. Cummings; Norbert Podhorszki; Scott Klasky; Manish Parashar (Concurr. Comput. Pract. Exp., 2015)

Performance characterization of irregular I/O at the extreme scale. - Stephen Herbein; Sean McDaniel; Norbert Podhorszki; Jeremy Logan; Scott Klasky; Michela Taufer (Parallel Comput., 2016)

Apply Block Index Technique to Scientific Data Analysis and I/O Systems. - Tzu-Hsien Wu; Jerry Chi-Yuan Chou; Norbert Podhorszki; Junmin Gu; Yuan Tian 004; Scott Klasky; Kesheng Wu (CCGrid, 2017)

TGE: Machine Learning Based Task Graph Embedding for Large-Scale Topology Mapping. - Jong Youl Choi; Jeremy Logan; Matthew Wolf; George Ostrouchov; Tahsin M. Kurç; Qing Liu 002; Norbert Podhorszki; Scott Klasky; Melissa Romanus; Qian Sun; Manish Parashar; Randy Michael Churchill; et al. (CLUSTER, 2017)

Extending Skel to Support the Development and Optimization of Next Generation I/O Systems. - Jeremy Logan; Jong Youl Choi; Matthew Wolf; George Ostrouchov; Lipeng Wan 001; Norbert Podhorszki; William F. Godoy; Scott Klasky; Erich Lohrmann; Greg Eisenhauer; Chad Wood; Kevin A. Huck (CLUSTER, 2017)

Canopus: A Paradigm Shift Towards Elastic Extreme-Scale Data Analytics on HPC Storage. - Tao Lu; Eric Suchyta; David Pugmire; Jong Choi 001; Scott Klasky; Qing Liu 002; Norbert Podhorszki; Mark Ainsworth; Matthew Wolf (CLUSTER, 2017)

Canopus: Enabling Extreme-Scale Data Analytics on Big HPC Storage via Progressive Refactoring. - Tao Lu; Eric Suchyta; Jong Youl Choi; Norbert Podhorszki; Scott Klasky; Qing Liu 002; David Pugmire; Matthew Wolf; Mark Ainsworth (HotStorage, 2017)

StoreRush: An Application-Level Approach to Harvesting Idle Storage in a Best Effort Environment. - Qing Liu 002; Norbert Podhorszki; Jong Youl Choi; Jeremy Logan; Matthew Wolf; Scott Klasky; Tahsin M. Kurç; Xubin He (ICCS, 2017)

Exacution: Enhancing Scientific Data Management for Exascale. - Scott Klasky; Eric Suchyta; Mark Ainsworth; Qing Liu 002; Ben Whitney; Matthew Wolf; Jong Youl Choi; Ian T. Foster; Mark Kim; Jeremy Logan; Kshitij Mehta; Todd S. Munson; et al. (ICDCS, 2017)

SELF: A High Performance and Bandwidth Efficient Approach to Exploiting Die-Stacked DRAM as Part of Memory. - Yuhua Guo; Qing Liu 002; Weijun Xiao; Ping Huang 001; Norbert Podhorszki; Scott Klasky; Xubin He (MASCOTS, 2017)

On the Scalability of Data Reduction Techniques in Current and Upcoming HPC Systems from an Application Perspective. - Axel Huebl; René Widera; Felix Schmitt 004; Alexander Matthes; Norbert Podhorszki; Jong Youl Choi; Scott Klasky; Michael Bussmann (ISC Workshops, 2017)

Output Performance Study on a Production Petascale Filesystem. - Bing Xie; Jeffrey S. Chase; David Dillow; Scott Klasky; Jay F. Lofstead; Sarp Oral; Norbert Podhorszki (ISC Workshops, 2017)

Pillars of the Mantle: Imaging the Interior of the Earth with Adjoint Tomography. - David Pugmire; Ebru Bozdag; Matthieu Lefebvre; Jeroen Tromp; Dimitri Komatitsch; Daniel Peter 001; Norbert Podhorszki; Judith Hill (PEARC, 2017)

Coupling Exascale Multiphysics Applications: Methods and Lessons Learned. - 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; et al. (eScience, 2018)

A View from ORNL: Scientific Data Research Opportunities in the Big Data Age. - Scott Klasky; Matthew Wolf; Mark Ainsworth; Chuck Atkins; Jong Choi 001; Greg Eisenhauer; Berk Geveci; William F. Godoy; Mark Kim; James Kress; Tahsin M. Kurç; Qing Liu 002; et al. (ICDCS, 2018)

Understanding and Modeling Lossy Compression Schemes on HPC Scientific Data. - Tao Lu; Qing Liu 002; Xubin He; Huizhang Luo; Eric Suchyta; Jong Choi 001; Norbert Podhorszki; Scott Klasky; Matthew Wolf; Tong Liu; Zhenbo Qiao (IPDPS, 2018)

Querying Large Scientific Data Sets with Adaptable IO System ADIOS. - Junmin Gu; Scott Klasky; Norbert Podhorszki; Ji Qiang; Kesheng Wu (SCFA, 2018)

In Situ Analysis and Visualization of Fusion Simulations: Lessons Learned. - Mark Kim; James Kress; Jong Choi 001; Norbert Podhorszki; Scott Klasky; Matthew Wolf; Kshitij Mehta; Kevin A. Huck; Berk Geveci; Sujin Phillip; Robert Maynard; Hanqi Guo 001; et al. (ISC Workshops, 2018)

SIRIUS: Enabling Progressive Data Exploration for Extreme-Scale Scientific Data. - Zhenbo Qiao; Tao Lu; Huizhang Luo; Qing Liu 002; Scott Klasky; Norbert Podhorszki; Jinzhen Wang (IEEE Trans. Multi Scale Comput. Syst., 2018)

A Vision for Managing Extreme-Scale Data Hoards. - Jeremy Logan; Kshitij Mehta; Gerd Heber; Scott Klasky; Tahsin M. Kurç; Norbert Podhorszki; Patrick M. Widener; Matthew Wolf (ICDCS, 2019)

Comparing the Efficiency of In Situ Visualization Paradigms at Scale. - James Kress; Matthew Larsen; Jong Choi 001; Mark Kim; Matthew Wolf; Norbert Podhorszki; Scott Klasky; Hank Childs; David Pugmire (ISC, 2019)

MPI jobs within MPI jobs: A practical way of enabling task-level fault-tolerance in HPC workflows. - Justin M. Wozniak; Matthieu Dorier; Robert B. Ross; Tong Shu; Tahsin M. Kurç; Li Tang 007; Norbert Podhorszki; Matthew Wolf (Future Gener. Comput. Syst., 2019)

Can I/O Variability Be Reduced on QoS-Less HPC Storage Systems? - Dan Huang 001; Qing Liu 002; Jong Choi 001; Norbert Podhorszki; Scott Klasky; Jeremy Logan; George Ostrouchov; Xubin He; Matthew Wolf (IEEE Trans. Computers, 2019)

Harnessing Data Movement in Virtual Clusters for In-Situ Execution. - Dan Huang 001; Qing Liu 002; Scott Klasky; Jun Wang 001; Jong Youl Choi; Jeremy Logan; Norbert Podhorszki (IEEE Trans. Parallel Distributed Syst., 2019)

A Comprehensive Study of In-Memory Computing on Large HPC Systems. - Dan Huang 001; Zhenlu Qin; Qing Liu 002; Norbert Podhorszki; Scott Klasky (ICDCS, 2020)

Comparing Time-to-Solution for In Situ Visualization Paradigms at Scale. - James Kress; Matthew Larsen; Jong Choi 001; Mark Kim; Matthew Wolf; Norbert Podhorszki; Scott Klasky; Hank Childs; David Pugmire (LDAV, 2020)

Taming I/O variation on QoS-less HPC storage: what can applications do? - Zhenbo Qiao; Qing Liu 002; Norbert Podhorszki; Scott Klasky; Jieyang Chen (SC, 2020)

Processing 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 (SC, 2020)

Data Federation Challenges in Remote Near-Real-Time Fusion Experiment Data Processing. - Jong Choi 001; Ruonan Wang; Randy Michael Churchill; Ralph Kube; Minjun Choi; Jinseop Park; Jeremy Logan; Kshitij Mehta; Greg Eisenhauer; Norbert Podhorszki; Matthew Wolf; Choong-Seock Chang; et al. (SMC, 2020)

Visualization as a Service for Scientific Data. - David Pugmire; James Kress; Jieyang Chen; Hank Childs; Jong Choi 001; Dmitry Ganyushin; Berk Geveci; Mark Kim; Scott Klasky; Xin Liang 001; Jeremy Logan; Nicole Marsaglia; et al. (SMC, 2020)

Opportunities for Cost Savings with In-Transit Visualization. - James Kress; Matthew Larsen; Jong Choi 001; Mark Kim; Matthew Wolf; Norbert Podhorszki; Scott Klasky; Hank Childs; David Pugmire (ISC, 2020)

MGARD+: Optimizing Multi-grid Based Reduction for Efficient Scientific Data Management. - Xin Liang 001; Ben Whitney; Jieyang Chen; Lipeng Wan 001; Qing Liu 002; Dingwen Tao; James Kress; David Pugmire; Matthew Wolf; Norbert Podhorszki; Scott Klasky (CoRR, 2020)

Extending the Publish/Subscribe Abstraction for High-Performance I/O and Data Management at Extreme Scale. - Jeremy Logan; Mark Ainsworth; Chuck Atkins; Jieyang Chen; Jong Choi 001; Junmin Gu; James Kress; Greg Eisenhauer; Berk Geveci; William F. Godoy; Mark Kim; Tahsin M. Kurç; et al. (IEEE Data Eng. Bull., 2020)

A terminology for in situ visualization and analysis systems. - 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; et al. (Int. J. High Perform. Comput. Appl., 2020)

ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management. - William F. Godoy; Norbert Podhorszki; Ruonan Wang; Chuck Atkins; Greg Eisenhauer; Junmin Gu; Philip E. Davis; Jong Choi 001; Kai Germaschewski; Kevin A. Huck; Axel Huebl; Mark Kim; et al. (SoftwareX, 2020)

Characterizing Output Bottlenecks of a Production Supercomputer: Analysis and Implications. - Bing Xie; Sarp Oral; Christopher Zimmer 001; Jong Youl Choi; David Dillow; Scott Klasky; Jay F. Lofstead; Norbert Podhorszki; Jeffrey S. Chase (ACM Trans. Storage, 2020)

zMesh: Exploring Application Characteristics to Improve Lossy Compression Ratio for Adaptive Mesh Refinement. - Huizhang Luo; Junqi Wang 002; Qing Liu 002; Jieyang Chen; Scott Klasky; Norbert Podhorszki (IPDPS, 2021)

Error-controlled, progressive, and adaptable retrieval of scientific data with multilevel decomposition. - Xin Liang 001; Qian Gong; Jieyang Chen; Ben Whitney; Lipeng Wan 001; Qing Liu 002; David Pugmire; Rick Archibald; Norbert Podhorszki; Scott Klasky (SC, 2021)

Unbalanced Parallel I/O: An Often-Neglected Side Effect of Lossy Scientific Data Compression. - Xinying Wang 001; Lipeng Wan 001; Jieyang Chen; Qian Gong; Ben Whitney; Jinzhen Wang; Ana Gainaru; Qing Liu 002; Norbert Podhorszki; Dongfang Zhao 001; Feng Yan 001; Scott Klasky (DRBSD@SC, 2021)

Understanding and Leveraging the I/O Patterns of Emerging Machine Learning Analytics. - Ana Gainaru; Dmitry Ganyushin; Bing Xie; Tahsin M. Kurç; Joel H. Saltz; Sarp Oral; Norbert Podhorszki; Franz Poeschel; Axel Huebl; Scott Klasky (SMC, 2021)

Transitioning from File-Based HPC Workflows to Streaming Data Pipelines with openPMD and ADIOS2. - Franz Poeschel; Juncheng E; William F. Godoy; Norbert Podhorszki; Scott Klasky; Greg Eisenhauer; Philip E. Davis; Lipeng Wan 001; Ana Gainaru; Junmin Gu; Fabian Koller; René Widera; et al. (SMC, 2021)

Hybrid 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; Frédéric Suter; Choong-Seock Chang; Todd S. Munson; Norbert Podhorszki; et al. (CLUSTER, 2022)

Exploring Large All-Flash Storage System with Scientific Simulation. - Junmin Gu; Greg Eisenhauer; Scott Klasky; Norbert Podhorszki; Ruonan Wang; Kesheng Wu (SSDBM, 2022)

The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science. - Eric Suchyta; Scott Klasky; Norbert Podhorszki; Matthew Wolf; Abolaji D. Adesoji; Choong-Seock Chang; Jong Choi 001; Philip E. Davis; Julien Dominski; Stéphane Ethier; Ian T. Foster; Kai Germaschewski; et al. (Int. J. High Perform. Comput. Appl., 2022)

Identifying challenges and opportunities of in-memory computing on large HPC systems. - Dan Huang 001; Zhenlu Qin; Qing Liu 002; Norbert Podhorszki; Scott Klasky (J. Parallel Distributed Comput., 2022)

MGARD+: Optimizing Multilevel Methods for Error-Bounded Scientific Data Reduction. - Xin Liang 001; Ben Whitney; Jieyang Chen; Lipeng Wan 001; Qing Liu 002; Dingwen Tao; James Kress; David Pugmire; Matthew Wolf; Norbert Podhorszki; Scott Klasky (IEEE Trans. Computers, 2022)

Understanding the Impact of Data Staging for Coupled Scientific Workflows. - Ana Gainaru; Lipeng Wan 001; Ruonan Wang; Eric Suchyta; Jieyang Chen; Norbert Podhorszki; James Kress; David Pugmire; Scott Klasky (IEEE Trans. Parallel Distributed Syst., 2022)

zMesh: Theories and Methods to Exploring Application Characteristics to Improve Lossy Compression Ratio for Adaptive Mesh Refinement. - Huizhang Luo; Junqi Wang 002; Qing Liu 002; Jieyang Chen; Scott Klasky; Norbert Podhorszki (IEEE Trans. Parallel Distributed Syst., 2022)

Improving I/O Performance for Exascale Applications Through Online Data Layout Reorganization. - Lipeng Wan 001; Axel Huebl; Junmin Gu; Franz Poeschel; Ana Gainaru; Ruonan Wang; Jieyang Chen; Xin Liang 001; Dmitry Ganyushin; Todd S. Munson; Ian T. Foster; Jean-Luc Vay; et al. (IEEE Trans. Parallel Distributed Syst., 2022)

Spatiotemporally Adaptive Compression for Scientific Dataset with Feature Preservation - A Case Study on Simulation Data with Extreme Climate Events Analysis. - Qian Gong; Chengzhu Zhang; Xin Liang 001; Viktor Reshniak; Jieyang Chen; Anand Rangarajan 001; Sanjay Ranka; Nicolas Vidal 003; Lipeng Wan 001; Paul Ullrich; Norbert Podhorszki; Robert Jacob; et al. (e-Science, 2023)

Improving Progressive Retrieval for HPC Scientific Data using Deep Neural Network. - Jinzhen Wang; Xin Liang 001; Ben Whitney; Jieyang Chen; Qian Gong; Xubin He; Lipeng Wan 001; Scott Klasky; Norbert Podhorszki; Qing Liu 002 (ICDE, 2023)

Unraveling Diffusion in Fusion Plasma: A Case Study of In Situ Processing and Particle Sorting. - Junmin Gu; Paul Lin; Kesheng Wu; Seung-Hoe Ku; Choong-Seock Chang; Randy Michael Churchill; Jong Choi 001; Norbert Podhorszki; Scott Klasky (CoRR, 2023)

MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring. - Qian Gong; Jieyang Chen; Ben Whitney; Xin Liang 001; Viktor Reshniak; Tania Banerjee; Jaemoon Lee; Anand Rangarajan 001; Lipeng Wan 001; Nicolas Vidal 003; Qing Liu 002; Ana Gainaru; et al. (SoftwareX, 2023)

A Framework for Compressing Unstructured Scientific Data via Serialization. - Viktor Reshniak; Qian Gong; Rick Archibald; Scott Klasky; Norbert Podhorszki (IEEE Big Data, 2024)

Enabling High- Throughput Parallel I/O in Particle-in-Cell Monte Carlo Simulations with openPMD and Darshan I/O Monitoring. - Jeremy J. Williams; Daniel Medeiros 002; Stefan Costea; David Tskhakaya; Franz Poeschel; René Widera; Axel Huebl; Scott Klasky; Norbert Podhorszki; Leon Kos; Ales Podolnik; Jakub Hromadka; et al. (CLUSTER Workshops, 2024)

A General Framework for Error-controlled Unstructured Scientific Data Compression. - Qian Gong; Zhe Wang 059; Viktor Reshniak; Xin Liang 001; Jieyang Chen; Qing Liu 002; Tushar M. Athawale; Yi Ju; Anand Rangarajan 001; Sanjay Ranka; Norbert Podhorszki; Rick Archibald; et al. (e-Science, 2024)

Towards Resilient Near Real-Time Analysis Workflows in Fusion Energy Science. - Frédéric Suter; Norbert Podhorszki; Scott Klasky (e-Science, 2024)

To 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 (SBAC-PAD, 2024)

AI Surrogate Model for Distributed Computing Workloads. - David Keetae Park; Yihui Ren 001; Ozgur O. Kilic; Tatiana Korchuganova; Sairam Sri Vatsavai; Joseph Boudreau; Tasnuva Chowdhury; Shengyu Feng; Raees Khan; Jaehyung Kim 001; Scott Klasky; Tadashi Maeno; et al. (SC Workshops, 2024)

Tango: A Cross-layer Approach to Managing I/O Interference over Local Ephemeral Storage. - Zhenbo Qiao; Qirui Tian; Zhenlu Qin; Jinzhen Wang; Qing Liu 002; Norbert Podhorszki; Scott Klasky; Hongjian Zhu (SC, 2024)

Error-controlled Progressive Retrieval of Scientific Data under Derivable Quantities of Interest. - Xuan Wu; Qian Gong; Jieyang Chen; Qing Liu 002; Norbert Podhorszki; Xin Liang 001; Scott Klasky (SC, 2024)

Optimizing Metadata Exchange: Leveraging DAOS for ADIOS Metadata I/O. - Ranjan Sarpangala Venkatesh; Greg Eisenhauer; Norbert Podhorszki; Dmitry Ganyushin; Scott Klasky; Ada Gavrilovska (ISC, 2024)

FunM2C: A Filter for Uncertainty Visualization of Multivariate Data on Multi-Core Devices. - Gautam Hari; Nrushad Joshi; Zhe Wang 059; Qian Gong; Dave Pugmire; Kenneth Moreland; Chris R. Johnson 001; Scott Klasky; Norbert Podhorszki; Tushar M. Athawale (UncertaintyVis@VIS, 2024)

Streaming Data in HPC Workflows Using ADIOS. - 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; et al. (CoRR, 2024)

Unlocking the Unusable: A Proactive Caching Framework for Reusing Partial Overlapped Data. - Chang Guo; Norbert Podhorszki; Greg Eisenhauer; Zhiwen Xie; Scott Klasky; Zhichao Cao 002 (HotStorage, 2025)

Understanding and Estimating Error Propagation in Neural Networks for Scientific Data Analysis. - Weiming He; Qi Chen; Qian Gong; Jing Li; Qing Liu 002; Norbert Podhorszki; Scott Klasky; Ki Sung Jung; Cristian Lacey; Jackie Chen; Hongjian Zhu (ICDE, 2025)

HPDR: High-Performance Portable Scientific Data Reduction Framework. - Jieyang Chen; Qian Gong; Yanliang Li; Xin Liang 001; Lipeng Wan 001; Qing Liu 002; Norbert Podhorszki; Scott Klasky (IPDPS, 2025)

The Artificial Scientist: in-Transit Machine Learning of Plasma Simulations. - Jeffrey Kelling; Vicente Bolea; Michael Bussmann; Ankush Checkervarty; Alexander Debus; Jan Ebert; Greg Eisenhauer; Vineeth Gutta; Stefan Kesselheim; Scott Klasky; Vedhas Pandit; Richard Pausch; et al. (IPDPS, 2025)

The Artificial Scientist - in-transit Machine Learning of Plasma Simulations. - Jeffrey Kelling; Vicente Bolea; Michael Bussmann; Ankush Checkervarty; Alexander Debus; Jan Ebert; Greg Eisenhauer; Vineeth Gutta; Stefan Kesselheim; Scott Klasky; Richard Pausch; Norbert Podhorszki; et al. (CoRR, 2025)

Alternative Mixed Integer Linear Programming Optimization for Joint Job Scheduling and Data Allocation in Grid Computing. - Shengyu Feng; Jaehyung Kim 001; Yiming Yang; Joseph Boudreau; Tasnuva Chowdhury; Adolfy Hoisie; Raees Khan; Ozgur O. Kilic; Scott Klasky; Tatiana Korchuganova; Paul Nilsson; Verena Ingrid Martinez Outschoorn; et al. (CoRR, 2025)

HP-MDR: High-performance and Portable Data Refactoring and Progressive Retrieval with Advanced GPUs. - Yanliang Li; Wenbo Li; Qian Gong; Qing Liu 002; Norbert Podhorszki; Scott Klasky; Xin Liang 001; Jieyang Chen (CoRR, 2025)

JANUS: Resilient and Adaptive Data Transmission for Enabling Timely and Efficient Cross-Facility Scientific Workflows. - Vladislav Esaulov; Jieyang Chen; Norbert Podhorszki; Frédéric Suter; Scott Klasky; Anu G. Bourgeois; Lipeng Wan 001 (CoRR, 2025)

Towards an Introspective Dynamic Model of Globally Distributed Computing Infrastructures. - Ozgur O. Kilic; David Keetae Park; Yihui Ren 001; Tatiana Korchuganova; Sairam Sri Vatsavai; Joseph Boudreau; Tasnuva Chowdhury; Shengyu Feng; Raees Khan; Jaehyung Kim 001; Scott Klasky; Tadashi Maeno; et al. (CoRR, 2025)