Matrix engines for high performance computing: A paragon of performance or grasping at straws? J Domke, E Vatai, A Drozd, P ChenT, Y Oyama, L Zhang, S Salaria, ... 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2021 | 33 | 2021 |
Evaluation of HPC-Big Data applications using cloud platforms S Salaria, K Brown, H Jitsumoto, S Matsuoka 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2017 | 11 | 2017 |
Predicting performance using collaborative filtering S Salaria, A Drozd, A Podobas, S Matsuoka 2018 IEEE International Conference on Cluster Computing (CLUSTER), 504-514, 2018 | 7 | 2018 |
Learning neural representations for predicting GPU performance S Salaria, A Drozd, A Podobas, S Matsuoka High Performance Computing: 34th International Conference, ISC High …, 2019 | 3 | 2019 |
Granite Code Models: A Family of Open Foundation Models for Code Intelligence M Mishra, M Stallone, G Zhang, Y Shen, A Prasad, AM Soria, M Merler, ... arXiv preprint arXiv:2405.04324, 2024 | | 2024 |
Towards Understanding HPC-Big Data Convergence Using Cloud Platforms (Unrefereed Workshop Manuscript) S Salaria, K Brown, H Jitsumoto, S Matsuoka | | 2016 |
Towards Understanding HPC-Big Data Convergence Using Cloud Platforms S Salaria, K Brown, H Jitsumoto, S Matsuoka | | |