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2023-03-01 12:00

Embedded Linux distributions

Results of the online "wish list"

2022-01-13 12:00

Phase #3 of OSADL project on OPC UA PubSub over TSN successfully completed

Another important milestone on the way to interoperable Open Source real-time Ethernet has been reached

2021-02-09 12:00

Open Source OPC UA PubSub over TSN project phase #3 launched

Letter of Intent with call for participation is now available

2016-11-12 12:00

Raspberry Pi and real-time Linux

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Real Time Linux Workshops

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15th Real Time Linux Workshop, October 28 to 31, 2013 at the Dipartimento Tecnologie Innovative, Scuola Universitaria Professionale della Svizzera Italiana in Lugano-Manno, Switzerland

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Improving Real-Time Performance on Multicore Platforms

Heechul Yun, University of Kansas

Using multicore processors for real-time systems is challenging because of high performance variations due to contention in the shared hardware resources – e.g., shared last level cache (LLC), hardware prefetcher, DRAM controller, and DRAM.

In our previous work, we presented a kernel level approach, called MemGuard, which minimizes such performance variations by providing per-core memory (DRAM) bandwidth guarantee. It was evaluated using the SPEC2006 benchmark suite on a restricted hardware configuration in which cores use neither shared caches nor hardware prefetchers. However, because it used the SPEC2006 suite (non-real-time applications) and the average instruction-per-cycle (IPC) metric, its impacts on real-time applications were not shown in the work. Also, its effectiveness in the presence of other shared hardware resources---a shared LLC and hardware prefetchers – was not shown, as it was mainly evaluated on a platform with per-core private cache and no hardware prefetchers (manually disabled).

In this work, we present a case study of a real-time system (which runs two applications: a periodic real-time application with a given deadline and a non-real-time application) and demonstrates how MemGuard can be configured to deliver required real-time performance without significantly sacrificing the CPU utilization in three different hardware configurations – including one that shares a LLC and uses hardware prefetchers.

In this study, contention in shared resources cause 31 ~ 108% WCET increases of the real-time application, depending on hardware configurations, resulting 28 ~ 62% deadline violations. Using MemGuard, we can configure the system to eliminate all deadline violations with only causing 14~29% CPU utilization reduction of the non-real-time application. The results suggest that MemGuard can provide controllable real-time performance at a reasonable cost. Moreover, it is shown to be effective even in the presence of the shared LLC and/or hardware prefetchers, albeit to a lesser extent.