A Pareto Framework for Data Analytics on Heterogeneous Systems: Implications for Green Energy Usage and Performance
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8023017/8025263/08025327.pdf?arnumber=8025327
Cited by 10 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. Acceleration of Bi-Objective Optimization of Data-Parallel Applications for Performance and Energy on Heterogeneous Hybrid Platforms;IEEE Access;2023
2. Efficient exact algorithms for continuous bi‐objective performance‐energy optimization of applications with linear energy and monotonically increasing performance profiles on heterogeneous high performance computing platforms;Concurrency and Computation: Practice and Experience;2022-09-02
3. On Energy Nonproportionality of CPUs and GPUs;2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW);2022-05
4. A Novel Algorithm for Bi-objective Performance-Energy Optimization of Applications with Continuous Performance and Linear Energy Profiles on Heterogeneous HPC Platforms;Euro-Par 2021: Parallel Processing Workshops;2022
5. Bi-Objective Optimization of Data-Parallel Applications on Heterogeneous HPC Platforms for Performance and Energy Through Workload Distribution;IEEE Transactions on Parallel and Distributed Systems;2021-03-01
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