| Datastager: scalable data staging services for petascale applications H Abbasi, M Wolf, G Eisenhauer, S Klasky, K Schwan, F Zheng Proceedings of the 18th ACM international symposium on High performance …, 2009 | 337 | 2009 |
| 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 | 260 | 2010 |
| 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 | 251 | 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 | 244 | 2010 |
| Monalytics: online monitoring and analytics for managing large scale data centers M Kutare, G Eisenhauer, C Wang, K Schwan, V Talwar, M Wolf Proceedings of the 7th international conference on Autonomic computing, 141-150, 2010 | 154 | 2010 |
| Genetic algorithms for structural cluster optimization MD Wolf, U Landman The Journal of Physical Chemistry A 102 (30), 6129-6137, 1998 | 134 | 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 | 115 | 2011 |
| Flexpath: Type-based publish/subscribe system for large-scale science analytics J Dayal, D Bratcher, G Eisenhauer, K Schwan, M Wolf, X Zhang, H Abbasi, ... 2014 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2014 | 111 | 2014 |
| A flexible architecture integrating monitoring and analytics for managing large-scale data centers C Wang, K Schwan, V Talwar, G Eisenhauer, L Hu, M Wolf Proceedings of the 8th ACM international conference on Autonomic computing …, 2011 | 110 | 2011 |
| FlexIO: I/O middleware for location-flexible scientific data analytics F Zheng, H Zou, G Eisenhauer, K Schwan, M Wolf, J Dayal, TA Nguyen, ... 2013 IEEE 27th International Symposium on Parallel and Distributed …, 2013 | 109 | 2013 |
| 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 | 104 | 2011 |
| Goldrush: Resource efficient in situ scientific data analytics using fine-grained interference aware execution F Zheng, H Yu, C Hantas, M Wolf, G Eisenhauer, K Schwan, H Abbasi, ... Proceedings of the International Conference on High Performance Computing …, 2013 | 103 | 2013 |
| The SENSEI generic in situ interface U Ayachit, B Whitlock, M Wolf, B Loring, B Geveci, D Lonie, EW Bethel 2016 second workshop on in situ infrastructures for enabling extreme-scale …, 2016 | 96 | 2016 |
| Adios 2: The adaptable input output system. a framework for high-performance data management WF Godoy, N Podhorszki, R Wang, C Atkins, G Eisenhauer, J Gu, P Davis, ... SoftwareX 12, 100561, 2020 | 94 | 2020 |
| Performance analysis, design considerations, and applications of extreme-scale in situ infrastructures U Ayachit, A Bauer, EPN Duque, G Eisenhauer, N Ferrier, J Gu, ... SC'16: Proceedings of the International Conference for High Performance …, 2016 | 89 | 2016 |
| Smartpointers: Personalized scientific data portals in your hand M Wolf, Z Cai, W Huang, K Schwan SC'02: Proceedings of the 2002 ACM/IEEE Conference on Supercomputing, 20-20, 2002 | 88 | 2002 |
| Computing just what you need: Online data analysis and reduction at extreme scales I Foster, M Ainsworth, B Allen, J Bessac, F Cappello, JY Choi, ... Euro-Par 2017: Parallel Processing: 23rd International Conference on …, 2017 | 85 | 2017 |
| Extending i/o through high performance data services H Abbasi, J Lofstead, F Zheng, K Schwan, M Wolf, S Klasky 2009 IEEE International Conference on Cluster Computing and Workshops, 1-10, 2009 | 79 | 2009 |
| Understanding and modeling lossy compression schemes on HPC scientific data T Lu, Q Liu, X He, H Luo, E Suchyta, J Choi, N Podhorszki, S Klasky, ... 2018 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2018 | 75 | 2018 |
| Scientific discovery at the exascale: report from the doe ascr 2011 workshop on exascale data management, analysis, and visualization S Ahern, A Shoshani, KL Ma, A Choudhary, T Critchlow, S Klasky, ... Dept. of Energy Office of Advanced Scientific Computing Research 1, 2011 | 74* | 2011 |
Scott KlaskyOak Ridge National LaboratoryEmail confirmado em ornl.gov
