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» Random Sampling Techniques in Parallel Computation
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ISAAC
1998
Springer
66views Algorithms» more  ISAAC 1998»
15 years 1 months ago
A Parallel Algorithm for Sampling Matchings from an Almost Uniform Distribution
In this paper we present a randomized parallel algorithm to sample matchings from an almost uniform distribution on the set of matchings of all sizes in a graph. First we prove th...
Josep Díaz, Jordi Petit, Panagiotis Psychar...
IPPS
2005
IEEE
15 years 3 months ago
MaTCH : Mapping Data-Parallel Tasks on a Heterogeneous Computing Platform Using the Cross-Entropy Heuristic
We propose in this paper a heuristic for mapping a set of interacting tasks of a parallel application onto a heterogeneous computing platform such as a computational grid. Our nov...
Soumya Sanyal, Sajal K. Das
DFG
1992
Springer
15 years 1 months ago
Complexity of Boolean Functions on PRAMs - Lower Bound Techniques
Determining time necessary for computing important functions on parallel machines is one of the most important problems in complexity theory for parallel algorithms. Recently, a s...
Miroslaw Kutylowski
ECCV
2000
Springer
15 years 11 months ago
Quasi-Random Sampling for Condensation
The problem of tracking pedestrians from a moving car is a challenging one. The Condensation tracking algorithm is appealing for its generality and potential for real-time implemen...
Vasanth Philomin, Ramani Duraiswami, Larry S. Davi...
ICDCS
2007
IEEE
15 years 3 months ago
Uniform Data Sampling from a Peer-to-Peer Network
Uniform random sample is often useful in analyzing data. Usually taking a uniform sample is not a problem if the entire data resides in one location. However, if the data is distr...
Souptik Datta, Hillol Kargupta