Abstract
LINPACK is a de facto benchmark for supercomputers. Nowadays, the CPU and GPU heterogenous cluster becomes an important trendy of supercomputers. Because of high performance of mixed precision algorithm, we had developed a mixed precision high performance LINPACK software package GHPL on NVIDIA GPU cluster. In this paper, we will introduce the recent work about porting and optimizing GHPL on AMD GPU. On AMD GPU platform, we implemented a hybrid of CPU and GPU GEMM function by ACML-GPU and GotoBLAS library. According to our results, the speedup of GHPL over HPL was 3.21. In addition, we would point out the limitations of ACML-GPU library.
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Acknowledgments
This work is partly supported by the National 863 Plan of China (No.2006AA01A125, No. 2009AA01A129, No.2009AA01A134), the China HGJ Project (No. 2009ZX01036-001-002), the Knowledge Innovation Program of the Chinese Academy of Sciences (No.KGCX1-YW-13), the Ministry of Finance (No. ZDYZ2008-2).
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Zhang, X., Zhang, Y., Wang, L. (2013). Using Mixed Precision Algorithm for LINPACK Benchmark on AMD GPU. In: Yuen, D., Wang, L., Chi, X., Johnsson, L., Ge, W., Shi, Y. (eds) GPU Solutions to Multi-scale Problems in Science and Engineering. Lecture Notes in Earth System Sciences. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16405-7_34
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DOI: https://doi.org/10.1007/978-3-642-16405-7_34
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