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基于GPU平台的二维离散余弦算法
引用本文:刘峰,施展. 基于GPU平台的二维离散余弦算法[J]. 计算机工程与科学, 2009, 31(Z1). DOI: 10.3969/j.issn.1007-130X.2009.A1.082
作者姓名:刘峰  施展
作者单位:上海理工大学光电信息与计算机工程学院,上海,200093
摘    要:本文介绍了GPU并行计算的优越性,并对基于GPU平台的开发框架和编程环境CUDA给予概述;在CUDA环境中开发DCT算法代码,实现了DCT算法代码从CPU平台向GPU平台的移植;并通过对比两个计算平台上DCT算法的计算耗时,分析了GPU计算平台的优越性。

关 键 词:图形处理器  离散余弦算法  统一计算设备架构  快速算法

The Realization of Two-Dimensional Discrete Cosine Transform Based on GPU Calculation Platform
LIU Feng,SHI Zhan. The Realization of Two-Dimensional Discrete Cosine Transform Based on GPU Calculation Platform[J]. Computer Engineering & Science, 2009, 31(Z1). DOI: 10.3969/j.issn.1007-130X.2009.A1.082
Authors:LIU Feng  SHI Zhan
Abstract:This paper mainly introduces the advantage of parallel computation based on GPU platform, and gives an introduction to the developing framework and programming environment based on GPU platform. Develop codes of DCT algorithm in CUDA environment to realize the algorithm transplant of DCT from DCT to CPU platform. By contrasting two calculation times on the different platforms, the advantage of the GPU calculating platform will be indicated.
Keywords:GPU  DCT algorithm  CUDA  fast algorithm
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