Skewed Compressed Caches

S. Sardashti, André Seznec, D. Wood
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引用次数: 61

Abstract

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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扭曲压缩缓存
缓存压缩寻求的是大缓存的好处和小缓存的面积和功率。理想情况下,压缩缓存通过紧密压缩压缩块来增加有效容量,具有较低的标记和元数据开销,并允许快速查找。然而,以前的压缩缓存设计无法实现所有这些目标。在本文中,我们提出了倾斜压缩缓存(SCC),这是一种新的硬件压缩缓存,可以降低开销并提高性能。SCC跟踪超级块以减少标记开销,将块压缩成可变数量的子块以减少内部碎片,但保留直接的标记-数据映射以快速找到块并消除额外的元数据(即,没有向后指针)。使用新颖的稀疏超级块标记和考虑压缩大小的倾斜关联映射来解决这个问题。在我们的实验中,SCC提供了平均8%(高达22%)的更高性能,平均6%(高达20%)的总能量降低,实现了最近的解耦压缩缓存[26]的好处,面积开销降低了4倍,设计复杂性降低了。
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