| Terascale direct numerical simulations of turbulent combustion using S3D JH Chen, A Choudhary, B De Supinski, M DeVries, ER Hawkes, S Klasky, ... Computational Science & Discovery 2 (1), 015001, 2009 | 577 | 2009 |
| Flexible IO and integration for scientific codes through the adaptable IO system (ADIOS) JF Lofstead, S Klasky, K Schwan, N Podhorszki, C Jin Proceedings of the 6th international workshop on Challenges of large …, 2008 | 376 | 2008 |
| Datastager: scalable data staging services for petascale applications H Abbasi, M Wolf, G Eisenhauer, S Klasky, K Schwan, F Zheng Cluster Computing 13 (3), 277-290, 2010 | 303 | 2010 |
| Dataspaces: an interaction and coordination framework for coupled simulation workflows C Docan, M Parashar, S Klasky Cluster Computing 15 (2), 163-181, 2012 | 278 | 2012 |
| PreDatA–preparatory data analytics on peta-scale machines F Zheng, H Abbasi, C Docan, J Lofstead, Q Liu, S Klasky, M Parashar, ... 2010 IEEE International Symposium on Parallel & Distributed Processing …, 2010 | 237 | 2010 |
| Combining in-situ and in-transit processing to enable extreme-scale scientific analysis JC Bennett, H Abbasi, PT Bremer, R Grout, A Gyulassy, T Jin, S Klasky, ... SC'12: Proceedings of the International Conference on High Performance …, 2012 | 236 | 2012 |
| Adaptable, metadata rich IO methods for portable high performance IO J Lofstead, F Zheng, S Klasky, K Schwan 2009 IEEE International Symposium on Parallel & Distributed Processing, 1-10, 2009 | 222 | 2009 |
| Hello ADIOS: the challenges and lessons of developing leadership class I/O frameworks Q Liu, J Logan, Y Tian, H Abbasi, N Podhorszki, JY Choi, S Klasky, ... Concurrency and Computation: Practice and Experience 26 (7), 1453-1473, 2014 | 209 | 2014 |
| Managing variability in the IO performance of petascale storage systems J Lofstead, F Zheng, Q Liu, S Klasky, R Oldfield, T Kordenbrock, ... SC'10: Proceedings of the 2010 ACM/IEEE International Conference for High …, 2010 | 209 | 2010 |
| Compressing the incompressible with ISABELA: In-situ reduction of spatio-temporal data S Lakshminarasimhan, N Shah, S Ethier, S Klasky, R Latham, R Ross, ... European Conference on Parallel Processing, 366-379, 2011 | 185 | 2011 |
| Spatiotemporal data mining in the era of big spatial data: algorithms and applications RR Vatsavai, A Ganguly, V Chandola, A Stefanidis, S Klasky, S Shekhar Proceedings of the 1st ACM SIGSPATIAL international workshop on analytics …, 2012 | 149 | 2012 |
| In Situ Methods, Infrastructures, and Applications on High Performance Computing Platforms AC Bauer, H Abbasi, J Ahrens, H Childs, B Geveci, S Klasky, K Moreland, ... Computer Graphics Forum 35 (3), 577-597, 2016 | 127 | 2016 |
| Boosted three-dimensional black-hole evolutions with singularity excision BBHGC Alliance, GB Cook, MF Huq, SA Klasky, MA Scheel, ... Physical Review Letters 80 (12), 2512, 1998 | 126 | 1998 |
| Scientific Process Automation and Workflow Management. B Ludäscher, I Altintas, S Bowers, J Cummings, T Critchlow, E Deelman, ... Scientific Data Management 10 (3), 476-508, 2009 | 124 | 2009 |
| Stable characteristic evolution of generic three-dimensional single-black-hole spacetimes BBHGC Alliance, R Gómez, L Lehner, RL Marsa, J Winicour, ... Physical review letters 80 (18), 3915, 1998 | 109 | 1998 |
| Characterizing output bottlenecks in a supercomputer B Xie, J Chase, D Dillow, O Drokin, S Klasky, S Oral, N Podhorszki SC'12: Proceedings of the International Conference on High Performance …, 2012 | 105 | 2012 |
| Gravitational wave extraction and outer boundary conditions by perturbative matching AM Abrahams, L Rezzolla, ME Rupright, A Anderson, P Anninos, ... Physical Review Letters 80 (9), 1812, 1998 | 103 | 1998 |
| Six degrees of scientific data: Reading patterns for extreme scale science io J Lofstead, M Polte, G Gibson, S Klasky, K Schwan, R Oldfield, M Wolf, ... Proceedings of the 20th international symposium on High performance …, 2011 | 101 | 2011 |
| Just in time: adding value to the io pipelines of high performance applications with jitstaging H Abbasi, G Eisenhauer, M Wolf, K Schwan, S Klasky Proceedings of the 20th international symposium on High performance …, 2011 | 100 | 2011 |
| Enabling in-situ execution of coupled scientific workflow on multi-core platform F Zhang, C Docan, M Parashar, S Klasky, N Podhorszki, H Abbasi 2012 IEEE 26th International Parallel and Distributed Processing Symposium …, 2012 | 99 | 2012 |
Norbert PodhorszkiScientific Data Group, Oak Ridge National LaboratoryZweryfikowany adres z ornl.gov
