Conciliating Speed and Efficiency on Cache Compressors

Daniel Rodrigues Carvalho, André Seznec
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引用次数: 2

Abstract

Cache compression algorithms must abide by hard-ware constraints; thus, their efficiency ends up being low, and most cache lines end up barely compressed. Moreover, schemes that compress relatively well often decompress slowly, and vice versa. This paper proposes a compression scheme achieving high (good) compaction ratio and fast decompression latency. The key observation is that by further subdividing the chunks of data being compressed one can tailor the algorithms. This concept is orthogonal to most existent compressors, and results in a reduction of their average compressed size. In particular, we leverage this concept to boost a single-cycle-decompression compressor to reach a compressibility level competitive to state-of-the-art proposals. When normalized against the best long decompression latency state-of-the-art compressors, the proposed ideas further enhance the average cache capacity by 2.7% (geometric mean), while featuring short decompression latency.
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缓存压缩器的调和速度和效率
缓存压缩算法必须遵守硬件约束;因此,它们的效率最终很低,并且大多数缓存行最终几乎没有被压缩。此外,压缩相对较好的方案通常解压较慢,反之亦然。本文提出了一种压缩方案,可以实现高(好的)压缩比和快速的解压缩延迟。关键的观察是,通过进一步细分被压缩的数据块,可以定制算法。这个概念是正交的大多数现有的压缩机,并导致减少他们的平均压缩尺寸。特别是,我们利用这一概念来提升单循环减压压缩机,使其可压缩性达到与最先进的方案相竞争的水平。当针对最佳的长解压延迟的最先进的压缩器进行规范化时,所提出的想法进一步提高了平均缓存容量2.7%(几何平均值),同时具有短的解压延迟。
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