多核处理器上面向gpu的OpenCL程序的线程执行方法回顾

2018 Sixth International Symposium on Computing and Networking Workshops (CANDARW) Pub Date : 2018-11-01 DOI:10.1109/CANDARW.2018.00101

T. Miyazaki, H. Hidari, Naohisa Hojo, Ittetsu Taniguchi, H. Tomiyama

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引用次数: 1

摘要

OpenCL是最流行的并行计算框架之一。OpenCL原则上是平台无关的，OpenCL程序可以在gpu、多核处理器、fpga等各种硬件平台上执行。然而，由于线程粒度的原因，为gpu编写的OpenCL程序在多核处理器上的执行性能通常很差。本文研究了面向gpu的OpenCL程序在多核处理器上的高效执行。本文解决了现有OpenCL框架的一些缺陷，并通过实验证明了该工作的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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

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.

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2018 Sixth International Symposium on Computing and Networking Workshops (CANDARW)

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