| ImageNet Training in Minutes Y You, Z Zhang, CJ Hsieh, J Demmel, K Keutzer 47th International Conference on Parallel Processing, 1-10, 2018 | 513 | 2018 |
| OpenFold: Retraining AlphaFold2 yields new insights into its learning mechanisms and capacity for generalization G Ahdritz, N Bouatta, C Floristean, S Kadyan, Q Xia, W Gerecke, ... Nature Methods 21 (8), 1514-1524, 2024 | 246 | 2024 |
| ZHT: A light-weight reliable persistent dynamic scalable zero-hop distributed hash table T Li, X Zhou, K Brandstatter, D Zhao, K Wang, A Rajendran, Z Zhang, ... 2013 IEEE 27th International Symposium on Parallel and Distributed …, 2013 | 212 | 2013 |
| Toward loosely coupled programming on petascale systems I Raicu, Z Zhang, M Wilde, I Foster, P Beckman, K Iskra, B Clifford Proceedings of the 2008 ACM/IEEE conference on Supercomputing, 22, 2008 | 177 | 2008 |
| Deep learning-based point-scanning super-resolution imaging L Fang, F Monroe, SW Novak, L Kirk, CR Schiavon, SB Yu, T Zhang, ... Nature methods 18 (4), 406-416, 2021 | 168 | 2021 |
| Fusionfs: Toward supporting data-intensive scientific applications on extreme-scale high-performance computing systems D Zhao, Z Zhang, X Zhou, T Li, K Wang, D Kimpe, P Carns, R Ross, ... 2014 IEEE international conference on big data (Big Data), 61-70, 2014 | 156 | 2014 |
| The Missing Piece in Complex Analytics: Low Latency, Scalable Model Management and Serving with Velox D Crankshaw, P Bailis, JE Gonzalez, H Li, Z Zhang, MJ Franklin, A Ghodsi, ... arXiv preprint arXiv:1409.3809, 2014 | 134 | 2014 |
| Parallel scripting for applications at the petascale and beyond M Wilde, I Foster, K Iskra, P Beckman, Z Zhang, A Espinosa, M Hategan, ... Computer 42 (11), 50-60, 2009 | 132 | 2009 |
| Rethinking data-intensive science using scalable analytics systems DAP Frank Austin Nothaft, Matt Massie, Timothy Danford, Zhao Zhang, Uri ... Proceedings of the 2015 ACM SIGMOD International Conference on Management of …, 2015 | 130* | 2015 |
| Scientific computing meets big data technology: An astronomy use case Z Zhang, K Barbary, FA Nothaft, E Sparks, O Zahn, MJ Franklin, ... 2015 IEEE International Conference on Big Data (Big Data), 918-927, 2015 | 74 | 2015 |
| 100-epoch imagenet training with alexnet in 24 minutes Y You, Z Zhang, C Hsieh, J Demmel, K Keutzer arXiv preprint arXiv:1709.05011, 2017 | 72 | 2017 |
| Middleware support for many-task computing I Raicu, I Foster, M Wilde, Z Zhang, K Iskra, P Beckman, Y Zhao, A Szalay, ... Cluster Computing 13 (3), 291-314, 2010 | 72 | 2010 |
| Fast deep neural network training on distributed systems and cloud TPUs Y You, Z Zhang, CJ Hsieh, J Demmel, K Keutzer IEEE Transactions on Parallel and Distributed Systems 30 (11), 2449-2462, 2019 | 68 | 2019 |
| Design and evaluation of a collective IO model for loosely coupled petascale programming Z Zhang, A Espinosa, K Iskra, I Raicu, I Foster, M Wilde Many-Task Computing on Grids and Supercomputers, 2008. MTAGS 2008. Workshop …, 2008 | 56 | 2008 |
| Extreme-scale scripting: Opportunities for large task-parallel applications on petascale computers M Wilde, I Raicu, A Espinosa, Z Zhang, B Clifford, M Hategan, S Kenny, ... Journal of Physics: Conference Series 180, 012046, 2009 | 50 | 2009 |
| Scheduling many-task workloads on supercomputers: Dealing with trailing tasks TG Armstrong, Z Zhang, DS Katz, M Wilde, IT Foster Many-Task Computing on Grids and Supercomputers (MTAGS), 2010 IEEE Workshop …, 2010 | 45 | 2010 |
| Kira: Processing astronomy imagery using big data technology Z Zhang, K Barbary, FA Nothaft, ER Sparks, O Zahn, MJ Franklin, ... IEEE Transactions on Big Data 6 (2), 369-381, 2016 | 44 | 2016 |
| A Workflow-Aware Storage System: An Opportunity Study E Vairavanathan, S Al-Kiswany, LB Costa, Z Zhang+, DS Katz, M Wilde, ... | 43 | 2012 |
| Convolutional neural network training with distributed K-FAC JG Pauloski, Z Zhang, L Huang, W Xu, IT Foster SC20: International Conference for High Performance Computing, Networking …, 2020 | 40 | 2020 |
| A convergence of key‐value storage systems from clouds to supercomputers T Li, X Zhou, K Wang, D Zhao, I Sadooghi, Z Zhang, I Raicu Concurrency and Computation: Practice and Experience 28 (1), 44-69, 2016 | 40 | 2016 |
Ian T. FosterUniversity of Chicago and Argonne National LaboratoryPotvrđena adresa e-pošte na anl.gov