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» Run-Time Techniques for Parallelizing Sparse Matrix Problems
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JCSS
2008
81views more  JCSS 2008»
13 years 7 months ago
A simulator for adaptive parallel applications
Dynamically allocating computing nodes to parallel applications is a promising technique for improving the utilization of cluster resources. Detailed simulations can help identify...
Basile Schaeli, Sebastian Gerlach, Roger D. Hersch
PPSC
1993
13 years 8 months ago
Parallel Preconditioning and Approximate Inverses on the Connection Machine
We present a new approach to preconditioning for very large, sparse, non-symmetric, linear systems. We explicitly compute an approximate inverse to our original matrix that can be...
Marcus J. Grote, Horst D. Simon
HPCC
2007
Springer
13 years 11 months ago
Concurrent Number Cruncher: An Efficient Sparse Linear Solver on the GPU
A wide class of geometry processing and PDE resolution methods needs to solve a linear system, where the non-zero pattern of the matrix is dictated by the connectivity matrix of th...
Luc Buatois, Guillaume Caumon, Bruno Lévy
PVM
2004
Springer
14 years 27 days ago
A Performance-Oriented Technique for Hybrid Application Development
In SMP clusters it is not always convenient to switch from pure message-passing code to hybrid software designs that exploit shared memory. This paper tackles the problem of restru...
Emilio Mancini, Massimiliano Rak, Roberto Torella,...
SIAMSC
2010
120views more  SIAMSC 2010»
13 years 6 months ago
Weighted Matrix Ordering and Parallel Banded Preconditioners for Iterative Linear System Solvers
The emergence of multicore architectures and highly scalable platforms motivates the development of novel algorithms and techniques that emphasize concurrency and are tolerant of ...
Murat Manguoglu, Mehmet Koyutürk, Ahmed H. Sa...