System software performance monitoring and optimization

系统软件性能监控与优化

• 批准号: 9222-2011
• 负责人: Stumm, Michael
• 金额: $ 2.11万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=568655
• 关键词: System; software; performance; monitoring; optimization

Our primary objective is to make improvements to operating systems so as to significantly improve kernel and application performance. Currently, we intend to target multicore-based systems, because the speed at which multicore systems became widespread has caught the software community by surprise, and as a result, most of these systems operate far below their potential. Our approach is to exploit Hardware Performance Counters (HPCs) that today are an integral part of all processors' Performance Monitoring Units (PMUs) and use them to measure overheads and identify bottleneck online and in real time. We then feed the information gathered from the HPCs to the system resource managers so that they can make more informed decisions on how to best use the system resources from a performance point of view. This results in a continuous feedback optimization loop. The work we do is experimental and implementation oriented. We design and implement systems, or modify existing systems, such as Linux. Real-world workloads are used in our experiments.

我们的首要目标是改进操作系统，以显着提高内核和应用程序的性能。目前，我们打算瞄准基于多核的系统，因为多核系统的普及速度让软件界感到惊讶，因此，大多数这些系统的运行速度远远低于其潜力。 我们的方法是利用如今已成为所有处理器性能监控单元 (PMU) 不可或缺的一部分的硬件性能计数器 (HPC)，并使用它们来测量开销并实时在线识别瓶颈。然后，我们将从 HPC 收集的信息提供给系统资源管理器，以便他们能够从性能的角度就如何最好地使用系统资源做出更明智的决策。这导致了持续的反馈优化循环。 我们所做的工作是实验性的、以实施为导向的。我们设计和实现系统，或者修改现有系统，例如Linux。我们的实验中使用了真实世界的工作负载。