Sustainable ai: Environmental implications, challenges and opportunities CJ Wu, R Raghavendra, U Gupta, B Acun, N Ardalani, K Maeng, G Chang, ... Proceedings of Machine Learning and Systems 4, 795-813, 2022 | 376 | 2022 |
Parallel programming with migratable objects: Charm++ in practice B Acun, A Gupta, N Jain, A Langer, H Menon, E Mikida, X Ni, M Robson, ... SC'14: Proceedings of the International Conference for High Performance …, 2014 | 240 | 2014 |
Understanding training efficiency of deep learning recommendation models at scale B Acun, M Murphy, X Wang, J Nie, CJ Wu, K Hazelwood 2021 IEEE International Symposium on High-Performance Computer Architecture …, 2021 | 102 | 2021 |
Dataperf: Benchmarks for data-centric ai development M Mazumder, C Banbury, X Yao, B Karlaš, W Gaviria Rojas, S Diamos, ... Advances in Neural Information Processing Systems 36, 2024 | 99 | 2024 |
Carbon explorer: A holistic approach for designing carbon aware datacenters B Acun, B Lee, F Kazhamiaka, K Maeng, M Chakkaravarthy, U Gupta, ... ASPLOS 2023: Proceedings of the 28th ACM International Conference on …, 2023 | 93* | 2023 |
Tt-rec: Tensor train compression for deep learning recommendation models C Yin, B Acun, CJ Wu, X Liu Proceedings of Machine Learning and Systems 3, 448-462, 2021 | 79 | 2021 |
Variation among processors under turbo boost in hpc systems B Acun, P Miller, LV Kale Proceedings of the 2016 International Conference on Supercomputing, 1-12, 2016 | 77 | 2016 |
Towards realizing the potential of malleable jobs A Gupta, B Acun, O Sarood, LV Kalé 2014 21st International Conference on High Performance Computing (HiPC), 1-10, 2014 | 67* | 2014 |
Scalable molecular dynamics with NAMD on the summit system B Acun, DJ Hardy, LV Kale, K Li, JC Phillips, JE Stone IBM journal of research and development 62 (6), 4: 1-4: 9, 2018 | 59 | 2018 |
RecShard: statistical feature-based memory optimization for industry-scale neural recommendation G Sethi, B Acun, N Agarwal, C Kozyrakis, C Trippel, CJ Wu Proceedings of the 27th ACM International Conference on Architectural …, 2022 | 50 | 2022 |
Preliminary evaluation of a parallel trace replay tool for hpc network simulations B Acun, N Jain, A Bhatele, M Mubarak, CD Carothers, LV Kale Euro-Par 2015: Parallel Processing Workshops: Euro-Par 2015 International …, 2015 | 42 | 2015 |
Fine-Grained Energy Efficiency Using Per-Core DVFS with an Adaptive Runtime System B Acun, K Chandrasekar, LV Kale International Green and Sustainable Computing Conference, 2019 | 36 | 2019 |
Power, Reliability, and Performance: One System to Rule Them All B Acun, A Langer, E Meneses, H Menon, O Sarood, E Totoni, LV Kalé Computer 49 (10), 30-37, 2016 | 33 | 2016 |
Thermal aware automated load balancing for hpc applications H Menon, B Acun, SG De Gonzalo, O Sarood, L Kalé 2013 IEEE International Conference on Cluster Computing (CLUSTER), 1-8, 2013 | 31 | 2013 |
Mitigating Processor Variation through Dynamic Load Balancing B Acun, LV Kale IEEE International Parallel and Distributed Processing Symposium Workshops, 2016 | 21 | 2016 |
Layer skip: Enabling early exit inference and self-speculative decoding M Elhoushi, A Shrivastava, D Liskovich, B Hosmer, B Wasti, L Lai, ... arXiv preprint arXiv:2404.16710, 2024 | 14 | 2024 |
The Charm++ parallel programming system L Kalé, B Acun, S Bak, A Becker, M Bhandarkar, N Bhat, A Bhatele, ... Aug, 2019 | 12 | 2019 |
Mp-rec: Hardware-software co-design to enable multi-path recommendation S Hsia, U Gupta, B Acun, N Ardalani, P Zhong, GY Wei, D Brooks, CJ Wu Proceedings of the 28th ACM International Conference on Architectural …, 2023 | 11 | 2023 |
Datacenter-scale analysis and optimization of gpu machine learning workloads L Wesolowski, B Acun, V Andrei, A Aziz, G Dankel, C Gregg, X Meng, ... IEEE Micro 41 (5), 101-112, 2021 | 9 | 2021 |
5 NAMD: Scalable Molecular Dynamics Based on the Charm++ Parallel Runtime B Acun, R Buch, L Kale, JC Phillips Exascale scientific applications: scalability and performance portability, 119, 2017 | 9 | 2017 |