Benchmarking of High Performance Cluster Reynolds

Sandip Sarkar, Raghavendra Krishnamurthy, Satish Kumar Ajmani

Abstract


This paper demonstrates a complete benchmarking exercise of a high performance cluster Reynolds at Tata Steel R&D division. A complete bench script has been reported for running parallel programs in queue and that can be directly used with all parallel computations purposes. Randomness in node distribution is found in batch processes. The scalability of the computations on a 80-processor SUSE Linux cluster is evaluated for smaller to large size problems. It is found that for a case with 0.417 million cells, after 32 processors performance curve flattens and then reduces marginally. This is due of partitioning the case into too many cores, which increases the communication between the cores and the scalability does not remain linear. For all other cases a super-liner speed up in computational efficiency and system functional rating is observed. System scalability study is performed for a live industrial case with OpenFOAM. For such case after 40 numbers of processors, reduction in speedup is observed, whereas there is a sharp reduction in clock time till 80 processors. Reynolds performance over the available supercomputing benchmarks is compared. A new parameter Reynolds performance index is defined to compare cluster’s performance over other high performance machines. Depending upon the problem complexities and mesh sizes, recommendations have been given to limit the optimum node usage. This is for the first time such exhaustive study in benchmarking exercise being reported


Keywords:Reynolds, HPC, benchmarking, rating, efficiency


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DOI: https://doi.org/10.26483/ijarcs.v3i3.1180

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