Contention-aware performance monitoring counter support for real-time MPSoCs

J. Jalle, Mikel Fernández, J. Abella, J. Andersson, Mathieu Patte, L. Fossati, Marco Zulianello, F. Cazorla
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引用次数: 14

Abstract

Tasks running in MPSoCs experience contention delays when accessing MPSoC's shared resources, complicating task timing analysis and deriving execution time bounds. Understanding the Actual Contention Delay (ACD) each task suffers due to other corunning tasks, and the particular hardware shared resources in which contention occurs, is of prominent importance to increase confidence on derived execution time bounds of tasks. And, whenever those bounds are violated, ACD provides information on the reasons for overruns. Unfortunately, existing MPSoC designs considered in real-time domains offer limited hardware support to measure tasks' ACD losing all these potential benefits. In this paper we propose the Contention Cycle Stack (CCS), a mechanism that extends performance monitoring counters to track specific events that allow estimating the ACD that each task suffers from every contending task on every hardware shared resource. We build the CCS using a set of specialized low-overhead Performance Monitoring Counters for the Cobham Gaisler GR740 (NGMP) MPSoC - used in the space domain - for which we show CCS's benefits.
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对实时mpsoc的竞争感知性能监控计数器支持
在MPSoC中运行的任务在访问MPSoC的共享资源时会遇到争用延迟,这使得任务时序分析和执行时间限制变得复杂。了解每个任务由于其他正在运行的任务而遭受的实际争用延迟(ACD),以及发生争用的特定硬件共享资源,对于提高派生任务执行时间界限的可信度非常重要。而且,只要违反了这些界限,ACD就会提供有关溢出原因的信息。不幸的是,在实时领域中考虑的现有MPSoC设计提供了有限的硬件支持来测量任务的ACD,失去了所有这些潜在的好处。在本文中,我们提出了争用周期堆栈(CCS),这是一种扩展性能监视计数器的机制,可以跟踪特定事件,从而可以估计每个任务在每个硬件共享资源上的每个争用任务所遭受的ACD。我们为Cobham Gaisler GR740 (NGMP) MPSoC使用一组专门的低开销性能监控计数器来构建CCS -用于空间域-我们展示了CCS的优势。
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