Seminário de Arquitetura

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Rodolfo Azevedo

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Apr 4, 2015, 9:03:09 AM4/4/15
to Seminários de Arquitetura e Compiladores, people-lsc
Segunda, 06/04 - 10h - Sala 351

Skewed Compressed Cache. Somayeh Sardashti (University of Wisconsin - Madison), Andre Seznec (INRIA), David Wood (University of Wisconsin - Madison). MICRO 2014.

Cache compression seeks the benefits of a larger cache with the area and power of a smaller cache. Ideally, a compressed cache increases effective capacity by tightly compacting compressed blocks, has low tag and metadata overheads, and allows fast lookups. Previous compressed cache designs, however, fail to achieve all these goals. In this paper, we propose the Skewed Compressed Cache (SCC), a new hardware compressed cache that lowers overheads and increases performance. SCC tracks super blocks to reduce tag overhead, compacts blocks into a variable number of sub-blocks to reduce internal fragmentation, but retains a direct tag-data mapping to find blocks quickly and eliminate extra metadata (i.e., No backward pointers). Saccades this using novel sparse super-block tags and a skewed associative mapping that takes compressed size into account. In our experiments, SCC provides on average 8% (up to 22%) higher performance, and on average 6% (up to 20%) lower total energy, achieving the benefits of the recent Decoupled Compressed Cache [26] with a factor of 4 lower area overhead and lower design complexity.

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