Accelerating Performance of GPU-based Workloads Using CXL

Author:

Arif Moiz1ORCID,Maurya Avinash1ORCID,Rafique M. Mustafa1ORCID

Affiliation:

1. Rochester Institute of Technology, Rochester, NY, USA

Funder

NSF (National Science Foundation)

Publisher

ACM

Reference16 articles.

1. Minseon Ahn , Andrew Chang , Donghun Lee , Jongmin Gim , Jungmin Kim , Jaemin Jung , Oliver Rebholz , Vincent Pham , Krishna Malladi , and Yang Seok Ki. 2022. Enabling CXL Memory Expansion for In-Memory Database Management Systems . In Data Management on New Hardware (Philadelphia, PA, USA) (DaMoN'22) . Association for Computing Machinery , New York, NY, USA , Article 8, 5 pages. https://doi.org/10.1145/3533737.3535090 10.1145/3533737.3535090 Minseon Ahn, Andrew Chang, Donghun Lee, Jongmin Gim, Jungmin Kim, Jaemin Jung, Oliver Rebholz, Vincent Pham, Krishna Malladi, and Yang Seok Ki. 2022. Enabling CXL Memory Expansion for In-Memory Database Management Systems. In Data Management on New Hardware (Philadelphia, PA, USA) (DaMoN'22). Association for Computing Machinery, New York, NY, USA, Article 8, 5 pages. https://doi.org/10.1145/3533737.3535090

2. Moiz Arif , Kevin Assogba , M. Mustafa Rafique , and Sudharshan Vazhkudai . 2023 . Exploiting CXL-Based Memory for Distributed Deep Learning . In Proceedings of the 51st International Conference on Parallel Processing ( Bordeaux, France) (ICPP '22). Association for Computing Machinery, New York, NY, USA, Article 19, 11 pages. https://doi.org/10.1145/3545008.3545054 10.1145/3545008.3545054 Moiz Arif, Kevin Assogba, M. Mustafa Rafique, and Sudharshan Vazhkudai. 2023. Exploiting CXL-Based Memory for Distributed Deep Learning. In Proceedings of the 51st International Conference on Parallel Processing (Bordeaux, France) (ICPP '22). Association for Computing Machinery, New York, NY, USA, Article 19, 11 pages. https://doi.org/10.1145/3545008.3545054

3. Moiz Arif , M. Mustafa Rafique , Seung-Hwan Lim , and Zaki Malik . 2020. Infrastructure-Aware TensorFlow for Heterogeneous Datacenters. In 2020 28th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS) . IEEE , 1--8. https://doi.org/10.1109/MASCOTS50786. 2020 .9285969 10.1109/MASCOTS50786.2020.9285969 Moiz Arif, M. Mustafa Rafique, Seung-Hwan Lim, and Zaki Malik. 2020. Infrastructure-Aware TensorFlow for Heterogeneous Datacenters. In 2020 28th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS). IEEE, 1--8. https://doi.org/10.1109/MASCOTS50786.2020.9285969

4. Reconsidering OS memory optimizations in the presence of disaggregated memory

5. Scheduling Beyond CPUs for HPC

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