COMPOFF: A Compiler Cost model using Machine Learning to predict the Cost of OpenMP Offloading
Author:
Affiliation:
1. Stony Brook University,Stony Brook,NY,USA,11794
2. Brookhaven National Laboratory,Upton,NY,USA,11973
Funder
National Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9835152/9835156/09835539.pdf?arnumber=9835539
Cited by 3 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. OpenMP Offload Features and Strategies for High Performance across Architectures and Compilers;2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW);2023-05
2. Power Constrained Autotuning using Graph Neural Networks;2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS);2023-05
3. OpenMP Advisor: A Compiler Tool for Heterogeneous Architectures;OpenMP: Advanced Task-Based, Device and Compiler Programming;2023
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