4th IEEE International Conference on Cloud Computing Technology and Science Proceedings
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Abstract

Top 500 list is a competition for supercomputer rank in the world twice a year. How to employ the high performance LINPACK (HPL) to obtain the maximal LINPACK performance (Rmax) plays a key role in this competition. In this paper we propose these strategies for NCHC (National Center for High-Performance Computing) Formosa V GPU cluster that it is a GPU-based heterogeneous cluster to stand 232nd place in the 39th 500 list which is announced on June 18th, 2012. We took three months to test this system and improve the hardware. We also cast a weighed function into HPL to make data decomposition more efficiency. Rmax is improved from 65 TFLOPS to near 90 TFLOPS!.
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