在小区宽带引擎上使用高阶滤波的图像放大和缩小

H. Kidwai, F. Sibai, T. Rabie
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引用次数: 10

摘要

IBM Cell宽带引擎(BE)是一个多核处理器,具有一个PowerPC主机处理器(PPE)和8个协同处理器引擎(spe)。Cell BE架构旨在改进传统处理器在内存延迟、带宽和计算能力方面的性能。在本文中,我们描述了一个二维图形的图像调整算法,我们并行化和开发在Cell BE上。我们报告了在启用了不同数量的协同处理器引擎的Cell刀片上测量的性能。这些结果与Cellpsilas单个PPE和所有8个spe禁用时获得的结果进行了比较。结果表明,Cell处理器在SIMD计算密集型应用(如图像调整大小)上的性能比现代RISC处理器高出20倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Image magnification and reduction using high order filtering on the cell broadband engine
The IBM Cell Broadband Engine (BE) is a multi-core processor with a PowerPC host processor (PPE) and 8 synergic processor engines (SPEs). The Cell BE architecture is designed to improve upon conventional processors in terms of memory latency, bandwidth and compute power. In this paper, we describe a 2D graphics algorithm for image resizing which we parallelized and developed on the Cell BE. We report the performance measured on one Cell blade with varying numbers of synergic processor engines enabled. These results were compared to those obtained on the Cellpsilas single PPE and with all 8 SPEs disabled. The results indicate that the Cell processor can outperform modern RISC processors by 20x on SIMD compute intensive applications such as image resizing.
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