Optimizing Memory-Bound SYMV Kernel on GPU Hardware Accelerators-Reference-Cited by-同舟云学术

Optimizing Memory-Bound SYMV Kernel on GPU Hardware Accelerators

Published:2013 Issue: Volume: Page:72-79
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
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Author:

Abdelfattah Ahmad,Dongarra Jack,Keyes David,Ltaief Hatem

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-38718-0_10

Reference11 articles.

1. Matrix Algebra on GPU and Multicore Architectures. Innovative Computing Laboratory, University of Tennessee, http://icl.cs.utk.edu/magma/

2. Nvidia visual profiler, http://developer.nvidia.com/nvidia-visual-profiler

3. Performance Application Programming Interface (PAPI). Innovative Computing Laboratory, University of Tennessee, http://icl.cs.utk.edu/papi/

4. Datta, K., Williams, S., Volkov, V., Carter, J., Oliker, L., Shalf, J., Yelick, K.: Auto-tuning the 27-Point Stencil for Multicore. In: Proc. iWAPT 2009: The Fourth International Workshop on Automatic Performance Tuning (2009)

5. Glaskowsky, P.N.: nVidia’s Fermi: The first complete gpu computing architecture. Technical report (2009)

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