The Bicameral Cache: a split cache for vector architectures

Susana Rebolledo Ruiz, Borja Perez, Jose Luis Bosque, Peter Hsu
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Abstract

The Bicameral Cache is a cache organization proposal for a vector architecture that segregates data according to their access type, distinguishing scalar from vector references. Its aim is to avoid both types of references from interfering in each other's data locality, with a special focus on prioritizing the performance on vector references. The proposed system incorporates an additional, non-polluting prefetching mechanism to help populate the long vector cache lines in advance to increase the hit rate by further exploiting the spatial locality on vector data. Its evaluation was conducted on the Cavatools simulator, comparing the performance to a standard conventional cache, over different typical vector benchmarks for several vector lengths. The results proved the proposed cache speeds up performance on stride-1 vector benchmarks, while hardly impacting non-stride-1's. In addition, the prefetching feature consistently provided an additional value.
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双核高速缓存:矢量架构的分离式高速缓存
双核高速缓存(Bicameral Cache)是一种针对矢量架构的高速缓存组织建议,它根据数据的访问类型对数据进行隔离,区分标量引用和矢量引用。其目的是避免两种类型的引用相互干扰数据位置,并特别注重优先提高矢量引用的性能。提议的系统包含一个额外的、无污染的预取机制,通过进一步利用矢量数据的空间位置性,帮助提前填充长矢量缓存行以提高命中率。我们在 Cavatools 模拟器上对该缓存进行了评估,比较了它与标准传统缓存的性能,以及不同矢量长度的典型矢量基准。结果证明,所提出的高速缓存提高了跨 1 向量基准的性能,而对非跨 1 向量基准几乎没有影响。此外,预取功能还持续提供了额外的价值。
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