Online Thread Auto-Tuning for Performance Improvement and Resource Saving

Author:

Luan Guangqiang1,Pang Pu1,Chen Quan1ORCID,Xue Shuai2,Song Zhuo2,Guo Minyi1ORCID

Affiliation:

1. Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China

2. Alibaba Cloud, Hangzhou, Zhejiang, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Hardware and Architecture,Signal Processing

Cited by 4 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. Multithreading-Based Algorithm for High-Performance Tchebichef Polynomials with Higher Orders;Algorithms;2024-08-27

2. An Exploration of Global Optimization Strategies for Autotuning OpenMP-based Codes;2024 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW);2024-05-27

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

4. A Machine Learning Approach Towards Runtime Optimisation of Matrix Multiplication;2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS);2023-05

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