On the interplay of loop caching, code compression, and cache configuration

M. Rawlins, A. Gordon-Ross
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引用次数: 11

Abstract

Even though much previous work explores varying instruction cache optimization techniques individually, little work explores the combined effects of these techniques (i.e., do they complement or obviate each other). In this paper we explore the interaction of three optimizations: loop caching, cache tuning, and code compression. Results show that loop caching increases energy savings by as much as 26% compared to cache tuning alone and reduces decompression energy by as much as 73%.
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关于循环缓存、代码压缩和缓存配置的相互作用
尽管以前的很多工作都是单独探索不同的指令缓存优化技术,但很少有工作是探索这些技术的综合效果(即,它们是相互补充还是相互排斥)。在本文中,我们探讨了三种优化的交互:循环缓存、缓存调优和代码压缩。结果表明,与单独进行缓存调优相比,循环缓存可节省多达26%的能量,并可减少多达73%的解压能量。
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