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Parallel Programming with GPUs: Parallel Programming Using Graphics Processing Units with Numerical Examples for Microwave Engineering

机译:使用GPU的并行编程:使用图形处理单元的并行编程以及微波工程的数值示例

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摘要

Scientific parallel programming has become mainstream in recent years by the introduction of high-performance graphics processing units (GPUs) that are specifically designed for numerical processing. In addition, freely available programming tools have made it possible for anyone who wants to leverage the processing power of GPUs to do so relatively easily. This article provides an introduction to parallel programming using GPUs with numerical examples demonstrating the speedup that can be obtained in a microwave engineering problem. All programming tools that are used in the article can be obtained free-of-charge from online resources. This accessibility is a tremendous benefit to engineers, students, and enthusiasts.
机译:近年来,通过引入专门为数字处理设计的高性能图形处理单元(GPU),科学并行编程已成为主流。此外,免费提供的编程工具使任何想利用GPU的处理能力的人都可以相对轻松地做到这一点。本文介绍了使用GPU进行并行编程的方法,并通过数值示例演示了可以在微波工程问题中获得的加速效果。可以从在线资源中免费获取本文中使用的所有编程工具。这种可访问性为工程师,学生和爱好者带来了巨大的好处。

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  • 来源
    《Microwave Magazine, IEEE》 |2013年第4期|102-115|共14页
  • 作者

    Kinayman N.;

  • 作者单位

    M.I.T. Lincoln Laboratory, Lexington, Massachusetts USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 13:05:51

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