两级重排序缓冲器:加速SMT架构上的内存绑定应用

Jason Loew, D. Ponomarev
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引用次数: 3

摘要

我们提出了一种低复杂性的机制来加速SMT处理器上的内存绑定线程,而不会对其他并发运行的应用程序的性能产生不利影响。主要思想是提供重排序缓冲区(ROB)的两级组织,其中第一级由小型私有的每线程ROB组成,在没有最后一级缓存丢失的正常执行过程中使用。第二个ROB级别是一个更大的存储,可以由经历最后一级缓存丢失的线程根据需要使用。我们的方案的关键特征是,只有当依赖于丢失负载的指令数量低于预定阈值时,才会为未进入最后一级缓存的线程分配第二级ROB分区。我们引入了一种新的低复杂度机制来计算负载相关指令的数量,并提出了两种分配第二级ROB的方案:预测和响应。我们的研究结果表明,在“加权ipc调和平均值”指标方面,DCRA资源分配机制的改进幅度约为30%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Two-Level Reorder Buffers: Accelerating Memory-Bound Applications on SMT Architectures
We propose a low complexity mechanism for accelerating memory-bound threads on SMT processors without adversely impacting the performance of other concurrently running applications. The main idea is to provide a two-level organization of the Reorder Buffer (ROB), where the first level is comprised of small private per-thread ROBs which are used in the normal course of execution in the absence of last level cache misses. The second ROB level is a much larger storage that can be used on demand by threads experiencing last level cache misses. The key feature of our scheme is that the allocation of the second-level ROB partition occurs to a thread experiencing a miss into the last level cache only if the number of instructions dependent on the missing load is below a predetermined threshold. We introduce a novel low-complexity mechanism to count the number of load-dependent instructions and propose two schemes for allocating second level ROB: predictive and reactive. Our results demonstrate about 30% improvement over DCRA resource distribution mechanism in terms of "harmonic mean of weighted IPCs" metric.
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