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GPGPU implementation of FIC using texture memory

机译:使用纹理内存的FIC的GPGPU实现

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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.
机译:分形图像编码(FIC)是一种有前途的功能的有损压缩技术,但由于其编码时间长,因此已被降级。本文提出了一种在通用图形处理单元(GPGPU)系统上进行计算的FIC算法的高效并行实现。比较了使用不同内存空间的两个并行实现:全局内存和纹理内存。实验表明,纹理存储的加速因子比全局存储好约350倍。

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