More Bang for Your Buck: Boosting Performance with Capped Power Consumption

This article develops a novel resource allocation scheme for memory-bound applications running on High-Performance Computing (HPC) clusters, aiming to improve application performance without breaching peak power constraints and total energy consumption. Our scheme estimates how the number of processor cores and CPU frequency setting affects the application performance. It then uses the estimate to provide additional compute nodes to memory-bound applications if it is profitable to do so. We implement and apply our algorithm to 12 representative benchmarks from the NAS parallel benchmark and HPC Challenge (HPCC) benchmark suites and evaluate it on a representative HPC cluster. Download paper here

Recommended citation: Juan Chen, Xinxin Qi, Feihao Wu, Jianbin Fang, Yong Dong, Yuan Yuan, Zheng Wang, and Keqin Li. (2020). “More Bang for Your Buck: Boosting Performance with Capped Power Consumption. “ TST. 2020.