Graph-based performance accounting for chip multiprocessor memory systems

Magnus Jahre
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引用次数: 0

Abstract

Chip Multiprocessor (CMP) memory systems share memory system resources between processor cores. While this sharing enables good resource utilization and fast inter-processor communication, it also makes the performance of an application depend on its co-runners. This breaks the system software assumption that a process has the same rate of progress regardless of the co-schedule, potentially leading to priority inversion, missed deadlines, unpredictable interactive performance and non-compliance with service level agreements. In this work, we present a novel graph-based technique that accurately estimates the performance an application would experience without memory system interference. Dynamic interference-free performance estimates can enable scheduling algorithms and management policies that optimize directly for system performance metrics.
基于图形的芯片多处理器存储系统性能核算
CMP (Chip Multiprocessor)内存系统在多个处理器内核之间共享内存系统资源。虽然这种共享实现了良好的资源利用和快速的处理器间通信,但它也使应用程序的性能依赖于它的合作者。这就打破了系统软件的假设,即无论联合调度如何,进程都具有相同的进度速度,从而可能导致优先级反转、错过最后期限、不可预测的交互性能以及不遵守服务水平协议。在这项工作中,我们提出了一种新的基于图形的技术,可以准确地估计应用程序在没有内存系统干扰的情况下的性能。动态无干扰性能估计可以启用直接针对系统性能指标进行优化的调度算法和管理策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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