| 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 | 585 | 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 | 242 | 2014 |
| 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, 5320-5347, 2023 | 138 | 2023 |
| 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 | 131 | 2021 |
| 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 | 129* | 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 | 103 | 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 | 81 | 2016 |
| 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 | 73 | 2022 |
| LayerSkip: 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 | 69 | 2024 |
| 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 | 68* | 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 | 66 | 2018 |
| 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 | 38 | 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 | 34 | 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 | 32 | 2013 |
| Mitigating Processor Variation through Dynamic Load Balancing B Acun, LV Kale IEEE International Parallel and Distributed Processing Symposium Workshops, 2016 | 21 | 2016 |
| Beyond efficiency: Scaling ai sustainably CJ Wu, B Acun, R Raghavendra, K Hazelwood IEEE Micro, 2024 | 17 | 2024 |
| 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 | 16 | 2023 |
| Data acquisition: A new frontier in data-centric AI L Chen, B Acun, N Ardalani, Y Sun, F Kang, H Lyu, Y Kwon, R Jia, CJ Wu, ... arXiv preprint arXiv:2311.13712, 2023 | 15 | 2023 |
| SecNDP: Secure near-data processing with untrusted memory W Xiong, L Ke, D Jankov, M Kounavis, X Wang, E Northup, JA Yang, ... 2022 IEEE International Symposium on High-Performance Computer Architecture …, 2022 | 15 | 2022 |
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