Author:
Ipek Engin,de Supinski Bronis R.,Schulz Martin,McKee Sally A.
Publisher
Springer Berlin Heidelberg
Reference8 articles.
1. Brown, P., Falgout, R.D., Jones, J.E.: Semicoarsening multigrid on distributed memory machines. SIAM J. Sci. Computing 21, 1823–1834 (2000)
2. Carrington, L., Snavely, A., Gao, X., Wolter, N.: A performance prediction framework for scientific applications. In: International Conference on Computational Science Workshop on Performance Modeling and Analysis (PMA 2003), June 2003, pp. 926–935 (2003)
3. Carrington, L., Wolter, N., Snavely, A., Lee, C.B.: Applying an automatic framework to produce accurate blind performance predictions of full-scale HPC applications. In: Department of Defense Users Group Conference (June 2004)
4. Lecture Notes in Computer Science;R.D. Falgout,2002
5. Karkhanis, T.S., Smith, J.E.: A first-order superscalar processor model. In: Proceedings of the 31st Annual International Symposium on Computer Architecture, June 2004, pp. 338–349 (2004)
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