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» Parallel Computation of the SVD of a Matrix Product
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IAJIT
2011
13 years 2 months ago
Blocked-based sparse matrix-vector multiplication on distributed memory parallel computers
: The present paper discusses the implementations of sparse matrix-vector products, which are crucial for high performance solutions of large-scale linear equations, on a PC-Cluste...
Rukhsana Shahnaz, Anila Usman
JISE
2006
85views more  JISE 2006»
13 years 7 months ago
A Programming Methodology for Designing Block Recursive Algorithms
In this paper, we use the tensor product notation as the framework of a programming methodology for designing block recursive algorithms. We first express a computational problem ...
Min-Hsuan Fan, Chua-Huang Huang, Yeh-Ching Chung, ...
PARLE
1994
13 years 11 months ago
Run-Time Optimization of Sparse Matrix-Vector Multiplication on SIMD Machines
Sparse matrix-vector multiplication forms the heart of iterative linear solvers used widely in scientific computations (e.g., finite element methods). In such solvers, the matrix-v...
Louis H. Ziantz, Can C. Özturan, Boleslaw K. ...

Book
34534views
15 years 6 months ago
OpenCV - Open Source Computer Vision Reference Manual
OpenCV is a C/C++ computer vision library originally developed by Intel. It is free for commercial and research use under a BSD license. The library is cross-platform. It is highl...
Intel
EUROPAR
2003
Springer
14 years 20 days ago
RECSY - A High Performance Library for Sylvester-Type Matrix Equations
In this presentation, we give an overview of research activities at the Department of Computing Science, Ume˚a University with focus on Scientific, Parallel and High-Performance...
Isak Jonsson, Bo Kågström