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HPC LINPACK Parameter Optimization on Homo-/Heterogeneous System of ARM Neoverse N1SDP
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- Authors
- Je-Seok Ham, Yong Cheol Peter Cho, Juyeob Kim, Chun-Gi Lyuh, Jinkyu Kim, Jinho Han, Youngsu Kwon
- Issue Date
- 2021-01
- Citation
- International Conference on High Performance Computing in Asia-Pacific Region (HPC Asia) 2021, pp.139-143
- Language
- English
- Type
- Conference Paper
- Abstract
- HPL(High Performance Linpack) is the standard benchmark used to evaluate supercomputers (high-performance computing systems) around the world. HPL solves a linear system of equations, Ax=b, through a series of mathematical processes such as 2D Block-Cyclic matrix distribution and LU Decomposition. In order to achieve the best performance, optimization of key HPL parameters is essential. In this paper, we propose an optimization analysis technique of HPL parameters based on HPLinpack performance results and the efficiency graph pattern on a homogeneous system consisting of the Neoverse N1SDP(System Development Platform) from ARM. Results show the significant influence of GEMM operations on performance and the need for its acceleration were further verified through HPL function call profiling. Finally, we show the effectiveness of the proposed parameter optimization methods on a heterogeneous system. A HPL modified for heterogenous system exhibited considerably improved performance when tested on the Neoverse N1SDP and the Nvidia RTX 2060 GPU.
- KSP Keywords
- Best performance, Function call, Graph pattern, Heterogeneous System, High-performance computing(HPC), High-performance computing systems, Homogeneous systems, Improved performance, LU decomposition, Matrix distribution, Optimization Analysis