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144
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TPDS
2008
113views more  TPDS 2008»
15 years 3 months ago
Evaluating a High-Level Parallel Language (GpH) for Computational GRIDs
Computational Grids potentially offer low cost, readily available, and large-scale high-performance platforms. For the parallel execution of programs, however, computational GRIDs ...
Abdallah Al Zain, Philip W. Trinder, Greg Michaels...
148
Voted
ICMI
2010
Springer
141views Biometrics» more  ICMI 2010»
15 years 1 months ago
Learning and evaluating response prediction models using parallel listener consensus
Traditionally listener response prediction models are learned from pre-recorded dyadic interactions. Because of individual differences in behavior, these recordings do not capture...
Iwan de Kok, Derya Ozkan, Dirk Heylen, Louis-Phili...
157
Voted
ICPPW
2009
IEEE
15 years 1 months ago
A Scalable Parallel Approach for Peptide Identification from Large-Scale Mass Spectrometry Data
Identifying peptides, which are short polymeric chains of amino acid residues in a protein sequence, is of fundamental importance in systems biology research. The most popular appr...
Gaurav Ramesh Kulkarni, Ananth Kalyanaraman, Willi...
151
Voted
KES
1999
Springer
15 years 7 months ago
Dynamic Demes parallel genetic algorithm
Abstract—Dynamic Demes is a new method for the parallelisation of evolutionary algorithms. It was derived as a combination of two other parallelisation algorithms: the master-sla...
Mariusz Nowostawski, Riccardo Poli
120
Voted
IPPS
2010
IEEE
15 years 1 months ago
Parallelization of DQMC simulation for strongly correlated electron systems
Abstract--Determinant Quantum Monte Carlo (DQMC) simulation has been widely used to reveal macroscopic properties of strong correlated materials. However, parallelization of the DQ...
Che-Rung Lee, I-Hsin Chung, Zhaojun Bai