Storage performance analysis and optimization of NENO system on TH-1A computer

Abstract

A concurrent processes grouping output method was proposed to address the problem that storage performance decreases when testing Nucleus for European Modeling of the Ocean(NEMO) system with massive processes on TH-1A supercomputer.This method designed a reasonable control strategy based on TH-1A architecture and split processes into groups to alleviate the process competition of concurrency I/O.Testing result shows that the storage performance of the GYRE012 global sample can be improved more than 33% using the optimization method of concurrent processes grouping output,and in the mean time the total performance can be improved about 28%.