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Energy-Aware High-Performance Computing: Survey of State-of-the-Art Tools, Techniques, and Environments
2019
Scientific Programming
The paper presents state of the art of energy-aware high-performance computing (HPC), in particular identification and classification of approaches by system and device types, optimization metrics, and energy/power control methods. System types include single device, clusters, grids, and clouds while considered device types include CPUs, GPUs, multiprocessor, and hybrid systems. Optimization goals include various combinations of metrics such as execution time, energy consumption, and
doi:10.1155/2019/8348791
fatcat:ib3dvjzg2bhhjnnklb4kaj2eqi