상세정보
학술지
Multi-communication layered HPL model and its application to GPU clusters
- 발행일
- 202106
- 출처
- ETRI Journal, v.43 no.3, pp.524-537
- ISSN
- 1225-6463
- 출판사
- 한국전자통신연구원 (ETRI)
- 협약과제
- 20VS1100, HDCA를 위한 서버 시스템 버스 확장 기술 연구개발, 김영우
- 초록
- High-performance Linpack (HPL) is among the most popular benchmarks for evaluating the capabilities of computing systems and has been used as a standard to compare the performance of computing systems since the early 1980s. In the initial system-design stage, it is critical to estimate the capabilities of a system quickly and accurately. However, the original HPL mathematical model based on a single core and single communication layer yields varying accuracy for modern processors and accelerators comprising large numbers of cores. To reduce the performance-estimation gap between the HPL model and an actual system, we propose a mathematical model for multi-communication layered HPL. The effectiveness of the proposed model is evaluated by applying it to a GPU cluster and well-known systems. The results reveal performance differences of 1.1% on a single GPU. The GPU cluster and well-known large system show 5.5% and 4.1% differences on average, respectively. Compared to the original HPL model, the proposed multi-communication layered HPL model provides performance estimates within a few seconds and a smaller error range from the processor/accelerator level to the large system level.
- KSP 제안 키워드
- Communication layer, Design stage, Error range, GPU Cluster, High performance, Large numbers, Large system, Mathematical model, Performance difference, Proposed model, computing systems
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