Job Scheduling Using Successive Linear Programming Approximations of a Sparse Model-Reference-Cited by-同舟云学术

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Job Scheduling Using Successive Linear Programming Approximations of a Sparse Model

Published:2012 Issue: Volume: Page:116-127
ISSN:0302-9743
Container-title:Euro-Par 2012 Parallel Processing
language:
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Author:

Chretien Stephane,Nicod Jean-Marc,Philippe Laurent,Rehn-Sonigo Veronika,Toch Lamiel

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-32820-6_14

Reference20 articles.

1. Afrati, F.N., Bampis, E., Fishkin, A.V., Jansen, K., Kenyon, C.: Scheduling to minimize the average completion time of dedicated tasks. In: Proceedings of the 20th Conference on Foundations of Software Technology and Theoretical Computer Science, FST TCS 2000, London, UK, pp. 454–464 (2000)

2. Amoura, A.K., Bampis, E., Kenyon, C., Manoussakis, Y.: Scheduling independent multiprocessor tasks. Algorithmica 32(2), 247–261 (2002)

3. Candes, E.J., Romberg, J., Tao, T.: Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information. IEEE Transactions on Information Theory 52(2), 489–509 (2006)

4. Candes, E.J., Wakin, M.B., Boyd, S.P.: Enhancing Sparsity by Reweighted L1 Minimization. Journal of Fourier Analysis and Applications 14(5), 877–905 (2008)

5. Casanova, H., Legrand, A., Quinson, M.: Simgrid: A generic framework for large-scale distributed experiments. In: UKSIM 2008, pp. 126–131 (2008)

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