Optimization of High Performance Computing Cluster based on Intel MIC
Shenbo Xu, Zhonghao Wu, Yujing Hong, Qian Xue, Suiyang Liao, Boyue Liu · 2016
This paper focuses on theoretical analysis, computational test and optimization of High Performance Computing Cluster (HPCC). Also known as Data Analytics Supercomputer (DAS), HPCC is built on Intel Many Integrated Core (MIC) for High Performance Linpack (HPL) test. Initially, a platform is configured by 5 nodes with an Intel® Xeon Phi™Coprocessor 31S1P per node to analyze power consumption as well as parallel level of Intel MIC accelerator. Compiling with Message Passing Interface (MPI) library and Math Kernel Library (MKL), the “Make” file is modified and debugged by adjusting parameters in hpccinf.txt. According to multiple Infiniband nodes evaluation, the libhpl library of Intel is employed and value of NB is set to be 960 for a single node with one MIC while debugging. Moreover, this paper optimized the algorithm on Double Precision General Matrix Multiplication (DGEMM) test and PTRANS to acquire efficient, precise and truncated working time duration. From HPL and Gridding Program experimental results, it's clear that the theoretical analysis and experiments were performed successfully.