 |
|
|||
| Authors: | Shin-Haeng Kang, Hoeseok Yang, Lars Schor, Iuliana Bacivarov, Soonhoi Ha, Lothar Thiele |
| Group: | Computer Engineering |
| Type: | Inproceedings |
| Title: | Multi-Objective Mapping Optimization via Problem Decomposition for Many-Core Systems |
| Year: | 2012 |
| Month: | October |
| Pub-Key: | hysbht2012a |
| Book Titel: | Proc. IEEE Symposium on Embedded Systems for Real-Time Multimedia (ESTIMedia) |
| Pages: | 28-37 |
| Keywords: | ESD, MPSOC, DSE, EMO, real-time systems, multi-core systems, many-core systems, DAL |
| Publisher: | IEEE |
| Abstract: | Due to the trend of many-core systems for dynamic multimedia applications, the problem size of mapping optimization gets bigger than ever making conventional metaheuristics no longer effective. Thus, in this paper, we propose a problem decomposition approach for large scale optimization problems. We basically follow the divide-and-conquer concept, in which a large scale problem is divided into several sub-problems. To remove the inter-relationship between sub-problems, proper abstraction is applied. The divided sub-problems can be solved either in parallel or in a sequence. The mapping optimization problem on dynamic many-core systems is decomposed and solved separately considering the system state and architectural hierarchy. Experimental evaluations with several examples prove that the proposed technique outperforms the conventional metaheuristics both in optimality and diversity of the optimized pareto curve. |
| Location: | Tampere, Finland |
| Resources: | [BibTeX] [Paper as PDF] |
