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Interconnect Design Considerations for Large NUCA Caches

机译:大型NUCA缓存的互连设计注意事项

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The ever increasing sizes of on-chip caches and the growing domination of wire delay necessitate significant changes to cache hierarchy design methodologies. Many recent proposals advocate splitting the cache into a large number of banks and employing a network-on-chip (NoC) to allow fast access to nearby banks (referred to as Non-Uniform Cache Architectures - NUCA). Most studies on NUCA organizations have assumed a generic NoC and focused on logical policies for cache block placement, movement, and search. Since wire/router delay and power are major limiting factors in modern processors, this work focuses on interconnect design and its influence on NUCA performance and power. We extend the widely-used CACTI cache modeling tool to take network design parameters into account. With these overheads appropriately accounted for, the optimal cache organization is typically very different from that assumed in prior NUCA studies. To alleviate the interconnect delay bottleneck, we propose novel cache access optimizations that introduce heterogeneity within the inter-bank network. The careful consideration of interconnect choices for a large cache results in a 51% performance improvement over a baseline generic NoC and the introduction of heterogeneity within the network yields an additional 11-15% performance improvement.
机译:片上高速缓存的大小不断增加,以及线路延迟的日益增长,必须对高速缓存层次结构设计方法进行重大更改。最近的许多提议主张将缓存分成大量存储区,并采用片上网络(NoC)来允许快速访问附近的存储区(称为非统一缓存体系结构-NUCA)。关于NUCA组织的大多数研究都假定使用通用NoC,并专注于缓存块放置,移动和搜索的逻辑策略。由于电线/路由器的延迟和功耗是现代处理器中的主要限制因素,因此这项工作着重于互连设计及其对NUCA性能和功耗的影响。我们扩展了广泛使用的CACTI缓存建模工具,以考虑网络设计参数。在适当考虑了这些开销之后,最佳缓存组织通常与之前的NUCA研究中假设的完全不同。为了缓解互连延迟瓶颈,我们提出了新颖的缓存访问优化,该优化在银行间网络内引入了异构性。对大型缓存的互连选择进行仔细考虑后,与基准通用NoC相比,性能提高了51%,而在网络中引入异构性又使性能提高了11-15%。

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