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

机译:重新审视多核处理器上面向GPU的OpenCL程序的线程执行方法

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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.
机译:OpenCL是最流行的并行计算框架之一。 OpenCL原则上是独立于平台的,并且OpenCL程序可以在各种硬件平台(例如GPU,多核处理器和FPGA)上执行。但是,由于线程的粒度,在性能方面,为GPU编写的OpenCL程序通常无法在多核处理器上执行。本文介绍了在多核处理器上高效执行面向GPU的OpenCL程序。本文解决了现有OpenCL框架中的一些缺点,并通过实验证明了这项工作的有效性。

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