- An Iterative Multi-Application Mapping Algorithm for Heterogeneous MPSoCs
- 11th IEEE Symposium on Embedded Systems for Real-Time Multimedia (ESTIMedia '13), Montreal, Canada
- Book/source title
- Proceedings of the 11th IEEE Symposium on Embedded Systems for Real-Time Multimedia (ESTIMedia '13)
- Pages (from-to)
- Institute of Electrical and Electronics Engineers (IEEE)
- Document type
- Conference contribution
- Faculty of Science (FNWI)
- Informatics Institute (IVI)
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.
If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask the Library, or send a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands. You will be contacted as soon as possible.