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LCPC
1993
Springer
15 years 10 months ago
Maximizing Loop Parallelism and Improving Data Locality via Loop Fusion and Distribution
Abstract. Loop fusion is a program transformation that merges multiple loops into one. It is e ective for reducing the synchronization overhead of parallel loops and for improving ...
Ken Kennedy, Kathryn S. McKinley
CONCURRENCY
2007
75views more  CONCURRENCY 2007»
15 years 6 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...
PPAM
2007
Springer
16 years 12 days ago
A Parallel Approximation Algorithm for the Weighted Maximum Matching Problem
Abstract. We consider the problem of computing a weighted edge matching in a large graph using a parallel algorithm. This problem has application in several areas of combinatorial ...
Fredrik Manne, Rob H. Bisseling
PPOPP
1999
ACM
15 years 10 months ago
Automatic Parallelization of Divide and Conquer Algorithms
Divide and conquer algorithms are a good match for modern parallel machines: they tend to have large amounts of inherent parallelism and they work well with caches and deep memory...
Radu Rugina, Martin C. Rinard
3DIM
2001
IEEE
15 years 10 months ago
The Parallel Iterative Closest Point Algorithm
This paper describes a parallel implementation developed to improve the time performance of the Iterative Closest Point Algorithm. Within each iteration, the correspondence calcul...
Christian Langis, Michael A. Greenspan, Guy Godin