| Bloom: A 176b-parameter open-access multilingual language model BS Workshop, TL Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, ... arXiv preprint arXiv:2211.05100, 2022 | 730 | 2022 |
| Zero: Memory optimizations toward training trillion parameter models S Rajbhandari, J Rasley, O Ruwase, Y He SC20: International Conference for High Performance Computing, Networking …, 2020 | 565 | 2020 |
| A Practical Dynamic Buffer Overflow Detector. O Ruwase, MS Lam NDSS 2004, 159-169, 2004 | 536 | 2004 |
| Accelerating deep convolutional neural networks using specialized hardware K Ovtcharov, O Ruwase, JY Kim, J Fowers, K Strauss, ES Chung Microsoft Research Whitepaper 2 (11), 1-4, 2015 | 503 | 2015 |
| Deepspeed: System optimizations enable training deep learning models with over 100 billion parameters J Rasley, S Rajbhandari, O Ruwase, Y He Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 466 | 2020 |
| Flexible hardware acceleration for instruction-grain program monitoring S Chen, M Kozuch, T Strigkos, B Falsafi, PB Gibbons, TC Mowry, ... ACM SIGARCH Computer Architecture News 36 (3), 377-388, 2008 | 198 | 2008 |
| {ZeRO-Offload}: Democratizing {Billion-Scale} model training J Ren, S Rajbhandari, RY Aminabadi, O Ruwase, S Yang, M Zhang, D Li, ... 2021 USENIX Annual Technical Conference (USENIX ATC 21), 551-564, 2021 | 174 | 2021 |
| Zero-infinity: Breaking the gpu memory wall for extreme scale deep learning S Rajbhandari, O Ruwase, J Rasley, S Smith, Y He Proceedings of the International Conference for High Performance Computing …, 2021 | 156 | 2021 |
| Performance modeling and scalability optimization of distributed deep learning systems F Yan, O Ruwase, Y He, T Chilimbi Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015 | 98 | 2015 |
| Parallelizing dynamic information flow tracking O Ruwase, PB Gibbons, TC Mowry, V Ramachandran, S Chen, M Kozuch, ... Proceedings of the twentieth annual symposium on Parallelism in algorithms …, 2008 | 92 | 2008 |
| Toward accelerating deep learning at scale using specialized hardware in the datacenter K Ovtcharov, O Ruwase, JY Kim, J Fowers, K Strauss, ES Chung 2015 IEEE Hot Chips 27 Symposium (HCS), 1-38, 2015 | 89 | 2015 |
| Ditto: a system for opportunistic caching in multi-hop wireless networks FR Dogar, A Phanishayee, H Pucha, O Ruwase, DG Andersen Proceedings of the 14th ACM international conference on Mobile computing and …, 2008 | 76 | 2008 |
| DeepSpeed-inference: enabling efficient inference of transformer models at unprecedented scale RY Aminabadi, S Rajbhandari, AA Awan, C Li, D Li, E Zheng, O Ruwase, ... SC22: International Conference for High Performance Computing, Networking …, 2022 | 61 | 2022 |
| Hyperdrive: Exploring hyperparameters with pop scheduling J Rasley, Y He, F Yan, O Ruwase, R Fonseca Proceedings of the 18th ACM/IFIP/USENIX Middleware Conference, 1-13, 2017 | 60 | 2017 |
| Page overlays: An enhanced virtual memory framework to enable fine-grained memory management V Seshadri, G Pekhimenko, O Ruwase, O Mutlu, PB Gibbons, MA Kozuch, ... ACM SIGARCH Computer Architecture News 43 (3S), 79-91, 2015 | 57 | 2015 |
| Decoupled lifeguards: enabling path optimizations for dynamic correctness checking tools O Ruwase, S Chen, PB Gibbons, TC Mowry Proceedings of the 2010 ACM SIGPLAN conference on Programming language …, 2010 | 32 | 2010 |
| SERF: Efficient scheduling for fast deep neural network serving via judicious parallelism F Yan, O Ruwase, Y He, E Smirni SC'16: Proceedings of the International Conference for High Performance …, 2016 | 30 | 2016 |
| Neural network training performance optimization framework TA Chilimbi, O Ruwase, S Rajbhandari, M Carbin, Y He US Patent App. 14/986,186, 2017 | 28 | 2017 |
| Optimizing CNNs on multicores for scalability, performance and goodput S Rajbhandari, Y He, O Ruwase, M Carbin, T Chilimbi ACM SIGARCH Computer Architecture News 45 (1), 267-280, 2017 | 27 | 2017 |
| Efficient deep neural network serving: Fast and furious F Yan, Y He, O Ruwase, E Smirni IEEE Transactions on Network and Service Management 15 (1), 112-126, 2018 | 23 | 2018 |
He YuxiongMicrosoft ResearchVerified email at microsoft.com
