Performance Evaluation of HPGMG on Tianhe-2: Early Experience.

In this paper, we evaluate and analyze the performance of HPGMG on the world’s largest supercomputer, Tianhe-2. We design and implement a general testing framework according to the performance-related parameters in HPGMG-FV and the architecture characteristics of Tianhe-2. This framework can automatically construct testing spaces, filter them by constrains, modify them by actual running results, and extract useful information from output files. By using this framework, we evaluate the performance of HPGMG at small-scale with different tunable parameters, and at large-scale of 8192 nodes with an overall performance of (5.511mathrm {e+}11) DOF/s.