GPGPU实现FIC使用纹理存储器

O. A. Nava, Hilda Maria Chable Martinez, Eduardo Rodríguez-Martínez
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引用次数: 0

摘要

分形图像编码(Fractal Image Coding, FIC)是一种有前途的有损压缩技术,但由于编码时间长而受到了人们的冷落。本文提出了一种在图形处理单元(GPGPU)系统上通用计算的FIC算法的高效并行实现。比较了使用不同内存空间的两种并行实现:全局内存和纹理内存。实验表明,纹理记忆比全局记忆的加速系数提高了约350倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
GPGPU implementation of FIC using texture memory
Fractal Image Coding (FIC) is a lossy compression technique with promising features, however it has been relegated due to its large coding time. The present article proposes an efficient parallel implementation of FIC algorithm on a general propose computing on graphic processing unit (GPGPU) system. Two parallel implementations using different memory spaces are compared: global memory and texture memory. The experiments demostrated that texture memory achived a better acceleration factor than global memory of about 350 times.
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