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» Parallel Solution of Irregular, Sparse Matrix Problems Using...
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ARC
2010
Springer
387views Hardware» more  ARC 2010»
14 years 5 days ago
Optimising Memory Bandwidth Use for Matrix-Vector Multiplication in Iterative Methods
Computing the solution to a system of linear equations is a fundamental problem in scientific computing, and its acceleration has drawn wide interest in the FPGA community [1–3]...
David Boland, George A. Constantinides
PPSC
1989
13 years 6 months ago
Evaluating Block Algorithm Variants in LAPACK
The LAPACK software project currently under development is intended to provide a portable linear algebra library for high performance computers. LAPACK will make use of the Level 1...
Ed Anderson, Jack Dongarra
SPAA
1998
ACM
13 years 9 months ago
Elimination Forest Guided 2D Sparse LU Factorization
Sparse LU factorization with partial pivoting is important for many scienti c applications and delivering high performance for this problem is di cult on distributed memory machin...
Kai Shen, Xiangmin Jiao, Tao Yang
HIPS
1998
IEEE
13 years 9 months ago
ZPL's WYSIWYG Performance Model
ZPL is a parallel array language designed for high performance scientific and engineering computations. Unlike other parallel languages, ZPL is founded on a machine he CTA) that a...
Bradford L. Chamberlain, Sung-Eun Choi, E. Christo...
BMCBI
2008
108views more  BMCBI 2008»
13 years 5 months ago
SPRINT: A new parallel framework for R
Background: Microarray analysis allows the simultaneous measurement of thousands to millions of genes or sequences across tens to thousands of different samples. The analysis of t...
Jon Hill, Matthew Hambley, Thorsten Forster, Murie...