超流水线微体系结构中的多媒体扩展。SIMD处理的新情况?

M. Ferretti
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引用次数: 10

摘要

通用微处理器一直被认为是不适合图像处理和视觉任务的计算平台。所谓的冯-诺伊曼范式和相关的记忆瓶颈推动了对各种形式的并行处理和视觉专用处理器的研究。在大规模并行处理器中采用的SIMD方法已经以最小的格式在标准微处理器的指令集体系结构的多媒体扩展中引入。本文研究了映射到这些扩展中的SIMD处理的特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-media extensions in super-pipelined micro-architectures. A new case for SIMD processing?
General purpose microprocessors have long been considered a computing platform unsuited to image processing and vision tasks. The so-called Von-Neumann paradigm and the associated memory bottleneck have motivated the research into various forms of parallel processing and of special processors for vision. The SIMD approach, adopted in massively parallel processors, has been introduced in a minimal format in the multimedia extensions to instruction set architectures of standard microprocessors. This paper examines the characteristics of SIMD processing that have been mapped into these extensions.
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