Revisiting Thread Execution Methods for GPU-Oriented OpenCL Programs on Multicore Processors

Abstract

OpenCL is one of the most popular frameworks for parallel computing. OpenCL is platform independent in principle, and OpenCL programs can be executed on various hardware platforms such as GPUs, multicore processors and FPGAs. However, OpenCL programs written for GPUs are often poorly executed on multicore processors in terms of performance due to the granularity of threads. This paper addresses efficient execution of GPU-oriented OpenCL programs on multicore processors. This paper solves a couple of draw-backs in an existing OpenCL framework and shows the effectiveness of this work through experiments.