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Bandwidth Measurement using Performance Counters for Predictable Multicore Software
Mälardalen University, School of Innovation, Design and Engineering. (IS (Model-Based Engineering of Embedded Systems) (MBEES))ORCID iD: 0000-0001-7448-3381
Mälardalen University, School of Innovation, Design and Engineering. (IS)ORCID iD: 0000-0001-7586-0409
Mälardalen University, School of Innovation, Design and Engineering. Ericsson AB.ORCID iD: 0000-0003-2612-4135
2012 (English)In: IEEE Symposium on Emerging Technologies and Factory Automation, ETFA 2012, 2012, , 4 p.Article number: 6489714- p.Conference paper, (Other (popular science, discussion, etc.))
Abstract [en]

Memory contention is one of the largest sources of inter-core interference in statically partitioned multicore systems, and the contention reduces the overall performance of applications and causes unpredictable execution-times. A first step in achieving predictable execution is to accurately measure the amount of consumed memory bandwidth for each application. Such measurements can be used to track down bottlenecks, provide better partitioning among cores, and ultimately be used to arbitrate and police access to the memory bus. We propose to use hardware performance counters to continuously track the memory-bandwidth consumed by different applications executing in parallel. In this paper we describe ongoing efforts exploring suitable performance counters on core-level and on system-on-chip level for the 8-core Freescale P4080 processor. The aim is to accurately and efficiently track consumed memory bandwidth per application; with the final goal to use these measurements to improve predictability of multicore real-time software.

Place, publisher, year, edition, pages
2012. , 4 p.Article number: 6489714- p.
Keyword [en]
performance counters, performance monitoring, memory bandwidth, OSE
National Category
Electrical Engineering, Electronic Engineering, Information Engineering Engineering and Technology
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:mdh:diva-15191DOI: 10.1109/ETFA.2012.6489714Scopus ID: 2-s2.0-84876376147ISBN: 978-146734737-2 (print)OAI: oai:DiVA.org:mdh-15191DiVA: diva2:548312
Conference
2012 IEEE 17th International Conference on Emerging Technologies and Factory Automation, ETFA 2012; Krakow; Poland; 17 September 2012 through 21 September 2012
Note

Submitted for publication to the conference: “Emerging Technologies and Factory Automation (ETFA’12), Poland, September, 2012”

This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.

 

Available from: 2012-09-13 Created: 2012-08-30 Last updated: 2014-10-02Bibliographically approved

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CiteExportLink to record
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Citation style
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  • harvard1
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