Bilge Acun
Bilge Acun
Research Scientist @ Meta / FAIR
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Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Mitigating Processor Variation through Dynamic Load Balancing
B Acun, LV Kale
IEEE International Parallel and Distributed Processing Symposium Workshops, 2016
The Charm++ parallel programming system
L Kalé, B Acun, S Bak, A Becker, M Bhandarkar, N Bhat, A Bhatele, ...
Aug, 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
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
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
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
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