Stochastic vs. deterministic evolutionary algorithm-based allocation and scheduling for XMOS chips

Author:

Banković Zorana,López-García Pedro

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference28 articles.

1. Genetic algorithm based scheduling of meta-tasks with stochastic execution times in heterogeneous computing systems;Doğan;Clust. Comput.,2004

2. T. Kidd, D. Hensgen, Why the mean is inadequate for accurate scheduling decisions, in: Proceedings of the 1999 International Symposium on Parallel Architectures, Algorithms and Networks, ISPAN ׳99, IEEE Computer Society, Washington, DC, USA, 1999, pp. 262–267. URL: 〈http://dl.acm.org/citation.cfm?id=850987.855693〉.

3. XMOS, xCore : Architecture Overview, Technical Report, XMOS Ltd., 2013. URL: 〈https://www.xmos.com/en/download/public/xCORE-Architecture%28X9650D%29.pdf〉.

4. XMOS, Estimating Power Consumption for XS1-L Devices, Technical Report, XMOS Ltd., 2012. URL: 〈http://www.xmos.com/download/public/Power-Consumption-For-XS1-L-Devices(X4271B).pdf〉.

5. Roskilde Univ., Univ. of Bristol, IMDEA Software Institute, XMOS, The ENTRA Project, 〈http://entraproject.eu/〉, 2013.

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