Modeling and optimizing NUMA effects and prefetching with machine learning

Author:

Sánchez Barrera Isaac1,Black-Schaffer David2,Casas Marc3,Moretó Miquel4,Stupnikova Anastasiia2,Popov Mihail2

Affiliation:

1. Barcelona Supercomputing Center (BSC) and Universitat Politècnica de Catalunya (UPC)

2. Uppsala University, Uppsala, Sweden

3. Barcelona Supercomputing Center (BSC)

4. Universitat Politècnica de Catalunya (UPC)

Funder

Ministerio de Economía y Competitividad

Ministerio de Ciencia, Innovación y Universidades

Ministerio de Educación, Cultura y Deporte

European HiPEAC Network of Excellence

Generalitat de Catalunya

Ministerio de Economía, Industria y Competitividad, Gobierno de España

European Research Council

Knut och Alice Wallenbergs Stiftelse

Publisher

ACM

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Global-State Aware Automatic NUMA Balancing;Proceedings of the 15th Asia-Pacific Symposium on Internetware;2024-07-24

2. WASP: Workload-Aware Self-Replicating Page-Tables for NUMA Servers;Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2;2024-04-27

3. An Energy-Efficient Tuning Method for Cloud Servers Combining DVFS and Parameter Optimization;IEEE Transactions on Cloud Computing;2023-10

4. Power Constrained Autotuning using Graph Neural Networks;2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS);2023-05

5. Online Thread Auto-Tuning for Performance Improvement and Resource Saving;IEEE Transactions on Parallel and Distributed Systems;2022-12-01

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