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Recently, computers have diversified architectures. To achieve high numericalcalculation software performance, it is necessary to tune the softwareaccording to the target computer architecture. However, code optimization foreach environment is difficult unless it is performed by a specialist who knowscomputer architectures well. By applying autotuning (AT), the tuning effort canbe reduced. Optimized implementation by AT that enhances computer performancecan be used even by non-experts. In this research, we propose a technique forAT for programs using open multi-processing (OpenMP). We propose an AT methodusing an AT language that changes the OpenMP optimized loop and dynamicallychanges the number of threads in OpenMP according to computational kernels.Performance evaluation was performed using the Fujitsu PRIMEHPC FX100, which isa K-computer type supercomputer installed at the Information Technology Center,Nagoya University. As a result, we found there was a performance increase of1.801 times that of the original code in a plasma turbulence analysis.

Autotuning by Changing Directives and Number of Threads in OpenMP using ppOpen-AT