Autotuning GPU Compiler Parameters Using OpenTuner

Marcos AmarísPedro Bruel

Abstract

In this paper we implement an autotuner for the compilation flags of GPU algorithms using the OpenTuner framework. An autotuner is a program that finds a combination of algorithms, or a configuration of an algorithm, that optimizes the solution of a given problem instance or set of instances. We analyse the performance gained after autotuning compilation flags for parallel algorithms in three GPU devices, and show that it is possible to improve upon the high-level optimizations of the CUDA compiler. One of the experimental settings achieved a 30% speedup.

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