Boosting Design Space Explorations with Existing or Automatically Learned Knowledge

Author:

Jahr Ralf,Calborean Horia,Vintan Lucian,Ungerer Theo

Publisher

Springer Berlin Heidelberg

Reference30 articles.

1. Ascia, G., Catania, V., Nuovo, A.G.D., Palesi, M., Patti, D.: Efficient design space exploration for application specific systems-on-a-chip. Journal of Systems Architecture 53(10), 733–750 (2007); Embedded Computer Systems: Architectures, Modeling, and Simulation

2. Beltrame, G., Bruschi, D., Sciuto, D., Silvano, C.: Decision-theoretic exploration of multiprocessor platforms. In: Proceedings of the 4th International Conference on Hardware/Software Codesign and System Synthesis, CODES+ISSS 2006, pp. 205–210 (October 2006)

3. Calborean, H.: Multi-Objective Optimization of Advanced Computer Architectures using Domain-Knowledge. PhD thesis, Lucian Blaga University of Sibiu, Romania (PhD Supervisor: Prof. Lucian Vintan, PhD) (2011)

4. Calborean, H., Jahr, R., Ungerer, T., Vintan, L.: Optimizing a superscalar system using multi-objective design space exploration. In: Proceedings of the 18th International Conference on Control Systems and Computer Science (CSCS), Bucharest, Romania, Calea Grivitei, nr. 132, 78122, Sector 1, Bucuresti, May 24-27, vol. 1, pp. 339–346. Editura Politehnica Press (2011) ISSN 2066-4451

5. Calborean, H., Vintan, L.: An automatic design space exploration framework for multicore architecture optimizations. In: 9th Roedunet International Conference (RoEduNet), Sibiu, Romania, pp. 202–207 (June 2010)

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