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PARLE
1994
15 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. ...
PARA
2004
Springer
15 years 3 months ago
Parallel Algorithms for Balanced Truncation Model Reduction of Sparse Systems
We describe the parallelization of an efficient algorithm for balanced truncation that allows to reduce models with state-space dimension up to O(105 ). The major computational tas...
José M. Badía, Peter Benner, Rafael ...
ICPR
2002
IEEE
15 years 2 months ago
High-Resolution Reconstruction of Sparse Data from Dense Low-Resolution Spatio-Temporal Data
Abstract—A novel approach for reconstruction of sparse highresolution data from lower-resolution dense spatio-temporal data is introduced. The basic idea is to compute the dense ...
Qing Yang, Bahram Parvin
PPOPP
2012
ACM
13 years 5 months ago
Massively parallel breadth first search using a tree-structured memory model
Analysis of massive graphs has emerged as an important area for massively parallel computation. In this paper, it is shown how the Fresh Breeze trees-of-chunks memory model may be...
Tom St. John, Jack B. Dennis, Guang R. Gao
IPPS
1999
IEEE
15 years 2 months ago
Sparse Matrix Block-Cyclic Redistribution
Run-time support for the CYCLIC(k) redistribution on the SPMD computation model is presently very relevant for the scientific community. This work is focused to the characterizati...
Gerardo Bandera, Emilio L. Zapata