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» Parallel matrix algorithms and applications
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PARLE
1994
14 years 1 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. ...
CONCURRENCY
2007
75views more  CONCURRENCY 2007»
13 years 9 months ago
A distributed packed storage for large dense parallel in-core calculations
We propose in this paper a distributed packed storage format that exploits the symmetry or the triangular structure of a dense matrix. This format stores only half of the matrix w...
Marc Baboulin, Luc Giraud, Serge Gratton, Julien L...
ISPASS
2005
IEEE
14 years 3 months ago
On the Scalability of 1- and 2-Dimensional SIMD Extensions for Multimedia Applications
SIMD extensions are the most common technique used in current processors for multimedia computing. In order to obtain more performance for emerging applications SIMD extensions ne...
Friman Sánchez, Mauricio Alvarez, Esther Sa...
SIGMETRICS
1999
ACM
14 years 2 months ago
Optimal Stochastic Scheduling in Multiclass Parallel Queues
In this paperweconsidertheproblemof schedulingdifferentclasses of customerson multiple distributed serversto minimize an objective function basedon per-classmeanresponsetimes.This...
Jay Sethuraman, Mark S. Squillante
IPPS
2005
IEEE
14 years 3 months ago
Reducing Power with Performance Constraints for Parallel Sparse Applications
Sparse and irregular computations constitute a large fraction of applications in the data-intensive scientific domain. While every effort is made to balance the computational wor...
Guangyu Chen, Konrad Malkowski, Mahmut T. Kandemir...