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Real-time performance analysis of multiprocessor systems with shared memory

Published: 07 January 2011 Publication History

Abstract

Predicting timing behavior is key to reliable real-time system design and verification, but becomes increasingly difficult for current multiprocessor systems on chip. The integration of formerly separate functionality into a single multicore system introduces new intercore timing dependencies resulting from the common use of the now shared resources. This feedback of system timing on local timing makes traditional performance analysis approaches inappropriate.
This article presents a general methodology to model the shared resource traffic and consider its effect on the local task execution. The aggregate busy time captures the timing of multiple accesses to a shared memory far better than the traditional models that focus on the timing of individual events. An iterative approach is proposed to tackle the analysis dependencies that exist in systems with event-driven task activation and dynamic resource arbitration.

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Published In

cover image ACM Transactions on Embedded Computing Systems
ACM Transactions on Embedded Computing Systems  Volume 10, Issue 2
December 2010
457 pages
ISSN:1539-9087
EISSN:1558-3465
DOI:10.1145/1880050
Issue’s Table of Contents
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 07 January 2011
Accepted: 01 December 2010
Revised: 01 September 2009
Received: 01 September 2008
Published in TECS Volume 10, Issue 2

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Author Tags

  1. Real-time
  2. multiprocessor performance analysis
  3. shared memory

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