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PPOPP
1995
ACM
13 years 11 months ago
A Model and Compilation Strategy for Out-of-Core Data Parallel Programs
It is widely acknowledged in high-performance computing circles that parallel input/output needs substantial improvement in order to make scalable computers truly usable. We prese...
Rajesh Bordawekar, Alok N. Choudhary, Ken Kennedy,...
WSC
2007
13 years 10 months ago
Parallel cross-entropy optimization
The Cross-Entropy (CE) method is a modern and effective optimization method well suited to parallel implementations. There is a vast array of problems today, some of which are hig...
Gareth E. Evans, Jonathan M. Keith, Dirk P. Kroese
ESTIMEDIA
2008
Springer
13 years 9 months ago
Parallelization of belief propagation method on embedded multicore processors for stereo vision
Markov random field models provide a robust formulation of low-level vision problems. Among the problems, stereo vision remains the most investigated field. The belief propagation...
Chi-Hua Lai, Kun-Yuan Hsieh, Shang-Hon Lai, Jenq K...
AAMAS
2007
Springer
13 years 8 months ago
Parallel Reinforcement Learning with Linear Function Approximation
In this paper, we investigate the use of parallelization in reinforcement learning (RL), with the goal of learning optimal policies for single-agent RL problems more quickly by us...
Matthew Grounds, Daniel Kudenko
EOR
2007
87views more  EOR 2007»
13 years 8 months ago
An optimal and scalable parallelization of the two-list
In this paper, we suggest a parallel algorithm based on a shared memory SIMD architecture for solving an n item subset-sum problem in time O(2n/2 /p) by using p = 2q processors, 0...
Carlos Alberto Alonso Sanches, Nei Yoshihiro Soma,...