Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ... arXiv preprint arXiv:2312.11805, 2023 | 1013 | 2023 |
Acme: A research framework for distributed reinforcement learning MW Hoffman, B Shahriari, J Aslanides, G Barth-Maron, N Momchev, ... arXiv preprint arXiv:2006.00979, 2020 | 239 | 2020 |
Performance analysis of HPC applications in the cloud RR Expósito, GL Taboada, S Ramos, J Touriño, R Doallo Future Generation Computer Systems 29 (1), 218-229, 2013 | 146 | 2013 |
Java in the high performance computing arena: Research, practice and experience GL Taboada, S Ramos, RR Expósito, J Tourino, R Doallo Science of Computer Programming 78 (5), 425-444, 2013 | 135 | 2013 |
Modeling communication in cache-coherent SMP systems: a case-study with Xeon Phi S Ramos, T Hoefler Proceedings of the 22nd international symposium on High-performance parallel …, 2013 | 119 | 2013 |
Capability models for manycore memory systems: A case-study with Xeon Phi KNL S Ramos, T Hoefler 2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2017 | 67 | 2017 |
Multithreaded and Spark parallelization of feature selection filters C Eiras-Franco, V Bolón-Canedo, S Ramos, J González-Domínguez, ... Journal of Computational Science 17, 609-619, 2016 | 49 | 2016 |
Factually consistent summarization via reinforcement learning with textual entailment feedback P Roit, J Ferret, L Shani, R Aharoni, G Cideron, R Dadashi, M Geist, ... arXiv preprint arXiv:2306.00186, 2023 | 42 | 2023 |
Gkd: Generalized knowledge distillation for auto-regressive sequence models R Agarwal, N Vieillard, P Stanczyk, S Ramos, M Geist, O Bachem arXiv preprint arXiv:2306.13649, 2023 | 37 | 2023 |
General‐purpose computation on GPUs for high performance cloud computing RR Expósito, GL Taboada, S Ramos, J Tourino, R Doallo Concurrency and Computation: Practice and Experience 25 (12), 1628-1642, 2013 | 33 | 2013 |
{Machine-Aware} Atomic Broadcast Trees for Multicores S Kaestle, R Achermann, R Haecki, M Hoffmann, S Ramos, T Roscoe 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2016 | 32 | 2016 |
Evaluation of Java for general purpose GPU computing J Docampo, S Ramos, GL Taboada, RR Expósito, J Tourino, R Doallo 2013 27th International Conference on Advanced Information Networking and …, 2013 | 29 | 2013 |
Analysis of I/O performance on an Amazon EC2 cluster compute and high I/O platform RR Expósito, GL Taboada, S Ramos, J González-Domínguez, J Touriño, ... Journal of grid computing 11, 613-631, 2013 | 28 | 2013 |
Parallel pairwise epistasis detection on heterogeneous computing architectures J González-Domínguez, S Ramos, J Touriño, B Schmidt IEEE Transactions on Parallel and Distributed Systems 27 (8), 2329-2340, 2015 | 26 | 2015 |
Reverb: A framework for experience replay A Cassirer, G Barth-Maron, E Brevdo, S Ramos, T Boyd, T Sottiaux, ... arXiv preprint arXiv:2102.04736, 2021 | 24 | 2021 |
FastMPJ: a scalable and efficient Java message-passing library RR Expósito, S Ramos, GL Taboada, J Touriño, R Doallo Cluster Computing 17, 1031-1050, 2014 | 19 | 2014 |
Hyperparameter selection for imitation learning L Hussenot, M Andrychowicz, D Vincent, R Dadashi, A Raichuk, S Ramos, ... International Conference on Machine Learning, 4511-4522, 2021 | 17 | 2021 |
Cache line aware algorithm design for cache-coherent architectures S Ramos, T Hoefler IEEE Transactions on Parallel and Distributed Systems 27 (10), 2824-2837, 2016 | 16 | 2016 |
Evaluation of messaging middleware for high-performance cloud computing RR Expósito, GL Taboada, S Ramos, J Tourino, R Doallo Personal and Ubiquitous Computing 17, 1709-1719, 2013 | 15 | 2013 |
Rlds: an ecosystem to generate, share and use datasets in reinforcement learning S Ramos, S Girgin, L Hussenot, D Vincent, H Yakubovich, D Toyama, ... arXiv preprint arXiv:2111.02767, 2021 | 12 | 2021 |