A Few of the Most Popular Models for Heterogeneous Parallel Programming

2017 16th International Symposium on Distributed Computing and Applications to Business, Engineering and Science (DCABES) Pub Date : 2017-10-01 DOI:10.1109/DCABES.2017.11

Gang Xie, Ya-lin Zhang

引用次数: 1

Abstract

In this paper we consider the problem of programming for heterogeneous computer systems consist of CPUs and various accelerating devices such as GPUs. We introduce a few of the most popular models for heterogeneous parallel programming, including OpenCL (Open Computing Language), CUDA (Compute Unified Device Architecture), OpenACC, OpenHMPP (Hybrid Multicore Parallel Programming), C++ AMP (accelerated massive parallelism), HPL (Heterogeneous Programming Library), etc.

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异构并行编程的几个最流行的模型

本文考虑了由cpu和各种加速器件(如gpu)组成的异构计算机系统的编程问题。我们介绍了几种最流行的异构并行编程模型，包括OpenCL(开放计算语言)、CUDA(计算统一设备架构)、OpenACC、OpenHMPP(混合多核并行编程)、c++ AMP(加速大规模并行)、HPL(异构编程库)等。

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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2017 16th International Symposium on Distributed Computing and Applications to Business, Engineering and Science (DCABES)

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