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Performance of pruning-cache directories for large-scale multiprocessors

机译:大型多处理器的修剪缓存目录的性能

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Multis, shared-memory multiprocessors that are implemented with single buses and snooping cache protocols are inherently limited to a small number of processors, and, as systems grow beyond a single bus, the bandwidth requirements of broadcast operations limit scalability. Hardware support to provide cache coherence without the use of broadcast can become very expensive. An approach to maintaining coherence using approximate information held in special-purpose caches called pruning-caches that provides robust performance over a wide range of workloads is presented. The pruning-cache approach is compared to the more conventional inclusion cache for providing multilevel inclusion (MLI) in the cache hierarchy. It is shown that pruning-caches are more cost-effective and more robust. Using both analysis and simulation, it is also shown that the k-ary n-cube topology provides scalable, bottleneck-free communication for uniform, point-to-point traffic.
机译:用单总线和侦听缓存协议实现的多共享内存多处理器本质上仅限于少数处理器,并且,随着系统扩展到单总线之外,广播操作的带宽要求限制了可伸缩性。在不使用广播的情况下提供缓存一致性的硬件支持会变得非常昂贵。提出了一种使用称为“修剪缓存”的专用缓存中保存的近似信息来维护一致性的方法,该方法可在各种工作负载上提供强大的性能。将修剪高速缓存方法与更常规的包含高速缓存进行比较,以便在高速缓存层次结构中提供多级包含(MLI)。结果表明,修剪缓存更具成本效益且更强大。通过分析和仿真,还显示出k元n立方体拓扑可提供可扩展的无瓶颈通信,以实现统一的点对点流量。

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