Tuning the Blocksize for Dense Linear Algebra Factorization Routines with the Roofline Model-Reference-Cited by-同舟云学术

Tuning the Blocksize for Dense Linear Algebra Factorization Routines with the Roofline Model

Published:2016 Issue: Volume: Page:18-29
ISSN:0302-9743
Container-title:Algorithms and Architectures for Parallel Processing
language:
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Author:

Benner Peter,Ezzatti Pablo,Quintana-Ortí Enrique S.,Remón Alfredo,Silva Juan P.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-49956-7_2

Reference16 articles.

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2. Lecture Notes in Computer Science;P Benner,2013

3. Benner, P., Ezzatti, P., Quintana-Ortí, E.S., Remón, A.: Matrix inversion on CPU-GPU platforms with applications in control theory. Concurrency Comput. Pract. Exp. 25(8), 1170–1182 (2013)

4. Bientinesi, P., Gunnels, J.A., Myers, M.E., Quintana-Ortí, E.S., van de Geijn, R.A.: The science of deriving dense linear algebra algorithms. ACM Trans. Math. Softw. 31(1), 1–26 (2005)

5. Dongarra, J.J., Du Croz, J., Hammarling, S., Duff, I.: A set of level 3 basic linear algebra subprograms. ACM Trans. Math. Softw. 16(1), 1–17 (1990)

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