- Author
- Year
- 2013
- Title
- An Iterative Multi-Application Mapping Algorithm for Heterogeneous MPSoCs
- Event
- 11th IEEE Symposium on Embedded Systems for Real-Time Multimedia (ESTIMedia '13), Montreal, Canada
- Book/source title
- ESTIMedia 2013
- Book/source subtitle
- the 11th IEEE Symposium on Embedded Systems for Real-Time Multimedia
- Pages (from-to)
- 115-124
- Publisher
- Piscataway, NJ: IEEE
- ISBN
- 9781479912858
- ISBN (electronic)
- 9781479912841
- Document type
- Conference contribution
- Faculty
- Faculty of Science (FNWI)
- Institute
- Informatics Institute (IVI)
- Abstract
-
Task mapping plays a crucial role in achieving high performance and energy savings in heterogeneous multiprocessor platforms. The problem of optimally mapping tasks onto a set of given heterogeneous processors for maximal throughput/minimal overall energy consumption has been known, in general, to be NP-complete. This problem is exacerbated when mapping multiple applications onto the target platform. To address this problem, this paper proposes an iterative multi-application mapping algorithm that operates at run time. Based on statically derived optimal (or near optimal) mappings for each separate application, this algorithm will quickly find a near optimal mapping under the objectives of high performance and low energy consumption for the simultaneously running applications on heterogeneous platforms. We have evaluated our algorithm using a heterogeneous MPSoC system with three real applications. Experimental results reveal the effectiveness of our proposed algorithm by comparing derived solutions to the ones obtained from other well-known algorithms.
- URL
- go to publisher's site
- Link
- Link
- Language
- English
- Persistent Identifier
- https://hdl.handle.net/11245/1.403264
- Downloads
-
An Iterative Multi-Application Mapping Algorithm for Heterogeneous MPSoCs(Final published version)
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