期刊名称:International Journal of Computer Science & Applications
印刷版ISSN:0972-9038
出版年度:2008
卷号:V
期号:IIIa
页码:20-32
出版社:Technomathematics Research Foundation
摘要:Vector extensions for general purpose processors are an efficient feature to address the growing performance
demand of multimedia and computer vision applications. Embedded processors are the most widespread
architectures for such applications. While provid ing sufficient computing power for these applications, they
must take into account power, area and real-time constraints. In this paper, we propose two hardware
optimization techniques to address those constraints: RISCization and instruction set customization.
Experimental results show that those techniques both reduce time and power consumption by up to 50% when
compared to the original ISA.
关键词:SIMD instruction set; altivec ; vectorization; embedded systems;processor;customization; high performance
image processing; power efficient architectures