Affiliation:
1. San Diego State University, San Diego, CA
2. University of California, Riverside, CA
Abstract
Energy consumption is a major concern in many embedded computing systems. Several studies have shown that cache memories account for about 50% of the total energy consumed in these systems. The performance of a given cache architecture is determined, to a large degree, by the behavior of the application executing on the architecture. Desktop systems have to accommodate a very wide range of applications and therefore the cache architecture is usually set by the manufacturer as a best compromise given current applications, technology, and cost. Unlike desktop systems, embedded systems are designed to run a small range of well-defined applications. In this context, a cache architecture that is tuned for that narrow range of applications can have both increased performance as well as lower energy consumption. We introduce a novel cache architecture intended for embedded microprocessor platforms. The cache has three software-configurable parameters that can be tuned to particular applications. First, the cache's associativity can be configured to be direct-mapped, two-way, or four-way set-associative, using a novel technique we call way
concatenation
. Second, the cache's total size can be configured by shutting down ways. Finally, the cache's line size can be configured to have 16, 32, or 64 bytes. A study of 23 programs drawn from Powerstone, MediaBench, and Spec2000 benchmark suites shows that the configurable cache tuned to each program saved energy for every program compared to a conventional four-way set-associative cache as well as compared to a conventional direct-mapped cache, with an average savings of energy related to memory access of over 40%.
Publisher
Association for Computing Machinery (ACM)
Subject
Hardware and Architecture,Software
Reference42 articles.
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