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The Landscape of Parallel Computing Research: A View from Berkeley
- K. Asanović, R. Bodík, K. Yelick
- Computer Science
- 18 December 2006
TLDR
OSKI: A Library of Automatically Tuned Sparse Matrix Kernels
TLDR
A case for intelligent RAM
- D. Patterson, T. Anderson, K. Yelick
- Computer ScienceIEEE Micro
- 1 March 1997
TLDR
Optimization of sparse matrix-vector multiplication on emerging multicore platforms
- Samuel Williams, L. Oliker, R. Vuduc, J. Shalf, K. Yelick, J. Demmel
- Computer ScienceProceedings of the ACM/IEEE Conference on…
- 31 July 2007
TLDR
A view of the parallel computing landscape
- K. Asanović, R. Bodík, K. Yelick
- Computer ScienceCACM
- 1 October 2009
Writing programs that scale with increasing numbers of cores should be as easy as writing programs for sequential computers.
Titanium: A High-performance Java Dialect
- K. Yelick, L. Semenzato, A. Aiken
- Computer ScienceConcurr. Pract. Exp.
- 1 September 1998
TLDR
Parallel programming in Split-C
- D. Culler, A. Arpaci-Dusseau, K. Yelick
- Computer ScienceSupercomputing '93. Proceedings
- 1 December 1993
The authors introduce the Split-C language, a parallel extension of C intended for high performance programming on distributed memory multiprocessors, and demonstrate the use of the language in…
UPC: Distributed Shared-Memory Programming
- T. El-Ghazawi, William W. Carlson, T. Sterling, K. Yelick
- Computer Science
- 7 July 2003
TLDR
Introduction to UPC and Language Specification
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Stencil computation optimization and auto-tuning on state-of-the-art multicore architectures
- K. Datta, M. Murphy, K. Yelick
- Computer ScienceSC - International Conference for High…
- 15 November 2008
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