二维高度关联的二级缓存设计

Chuanjun Zhang, Bing Xue
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引用次数: 3

摘要

高关联性对于二级缓存设计非常重要[9]。然而,实现基于cam的高关联缓存(CAM-HAC)在硬件上成本很高,而且可扩展性很差。我们建议在宏块中实现CAM-HAC以提高可扩展性。每个宏块包含128行和8列的缓存块。我们称之为二维缓存,或者t -缓存。每个宏块的结合性相当于128times8=1024-way。T-Cachepsilas标签的12位使用CAM实现,其余标签使用SRAM;此外,在行中使用随机替换来平衡缓存集的使用,而在列中使用LRU来从一行中选择受害者。与仅使用LRU的传统CAM-HAC相比,大大降低了更换硬件的复杂性。实验结果表明,与传统的8路统一L2缓存相比,T-Cache的丢失率降低了16%。这意味着IPC平均提高了5%,最高可达18%。由于减少了应用程序的执行时间,T-Cache显示了4%的内存访问相关的总能源节约。
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Two dimensional highly associative level-two cache design
High associativity is important for level-two cache designs [9]. Implementing CAM-based highly associative caches (CAM-HAC), however, is both costly in hardware and exhibits poor scalability. We propose to implement the CAM-HAC in macro-blocks to improve scalability. Each macro-block contains 128-row and 8-column of cache blocks. We name it Two dimensional Cache, or T-Cache. Each macro-block has an associativity equivalent to 128times8=1024-way. Twelve bits of the T-Cachepsilas tag are implemented by using CAM, while the remaining tag uses SRAM; Furthermore, random replacement is used in rows to balance cache sets usage while LRU is used in columns to select the victim from a row. The hardware complexity for replacement is reduced greatly compared to a traditional CAM-HAC using LRU solely. Experimental results show that the T-Cache achieves a 16% miss rate reduction over a traditional 8-way unified L2 cache. This translates into an average IPC improvement of 5% and as high as 18%. The T-Cache exhibits a 4% total memory access-related energy savings due to the reduction to applicationspsila execution time.
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