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Abstract: Automatic Performance Tuning of Sparse Matrix Kernels by Richard Wilson Vuduc Doctor of Philosophy in Computer Science University of California, Berkeley Professor James W. Demmel, Chair This dissertation presents an automated system to generate highly e#cient, platformadapted implementations of sparse matrix kernels. These computational kernels lie at the heart of diverse applications in scientific computing, engineering, economic modeling, and information retrieval, to name a few.... (Update)
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BibTeX entry: (Update)
R. W. Vuduc. Automatic performance tuning of sparse matrix kernels. PhD thesis, University of California, Berkeley, 2003. http://citeseer.ist.psu.edu/article/vuduc03automatic.html More
@misc{ vuduc03automatic,
author = "R. Vuduc",
title = "Automatic performance tuning of sparse matrix kernels",
text = "R. W. Vuduc. Automatic performance tuning of sparse matrix kernels. PhD
thesis, University of California, Berkeley, 2003.",
year = "2003",
url = "citeseer.ist.psu.edu/article/vuduc03automatic.html" }
Citations not processed or no citations identified.
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Memory Hierarchy Optimizations and Performance Bounds .. - Vuduc, Gyulassy.. (2003) (Correct)
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Memory Hierarchy Optimizations and Performance Bounds.. - Vuduc, Gyulassy.. (2003) (Correct)
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