2005Unpublished venueOpen access

Multiple-Valued Caches for Power-Efficient Embedded Systems

Emre Özer, Resit Sendag, David Gregg

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Abstract

In this paper, we propose three novel cache models using multiple-valued logic (MVL) paradigm to reduce the cache data storage area and cache energy consumption for embedded systems. Multiple-valued caches have significant potential for compact and power-efficient cache array design. The cache models differ from each other depending on whether they store tag and data in binary, radix-r or a mix of both. Our analytical study of cache silicon area shows that an embedded system-on-a-chip (SoC) equipped with a multiple-valued cache model can reduce the cache data storage area up to 6% regardless of cache parameters. Also, our experiments on several embedded benchmarks demonstrate that dynamic cache energy consumption can be reduced up to 62% in a multiple-valued instruction cache in an embedded SoC.

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What this paper is about

In this paper, we propose three novel cache models using multiple-valued logic (MVL) paradigm to reduce the cache data storage area and cache energy consumption for embedded systems. Multiple-valued caches have significant potential for compact and power-efficient cache array design. The cache models differ from each other depending on whether they store tag and data in binary, radix-r or a mix of both. Our analytical study of cache silicon area shows that an embedded system-on-a-chip (SoC) equipped with a multiple-valued cache model can reduce the cache data storage area up to 6% regardless of cache parameters. Also, our experiments on several embedded benchmarks demonstrate that dynamic cache energy consumption can be reduced up to 62% in a multiple-valued instruction cache in an embedded SoC.

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Available abstract

In this paper, we propose three novel cache models using multiple-valued logic (MVL) paradigm to reduce the cache data storage area and cache energy consumption for embedded systems. Multiple-valued caches have significant potential for compact and power-efficient cache array design. The cache models differ from each other depending on whether they store tag and data in binary, radix-r or a mix of both. Our analytical study of cache silicon area shows that an embedded system-on-a-chip (SoC) equipped with a multiple-valued cache model can reduce the cache data storage area up to 6% regardless of cache parameters. Also, our experiments on several embedded benchmarks demonstrate that dynamic cache energy consumption can be reduced up to 62% in a multiple-valued instruction cache in an embedded SoC.

Key concepts: Cache, Cache algorithms, Cache coloring, Cache pollution, Cache invalidation, Computer science, Smart Cache, Page cache

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