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» Parallel computing with CUDA
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110
Voted
IPPS
2006
IEEE
15 years 8 months ago
A simulator for parallel applications with dynamically varying compute node allocation
Dynamically allocating computing nodes to parallel applications is a promising technique for improving the utilization of cluster resources. We introduce the concept of dynamic ef...
Basile Schaeli, B. Gerlach, Roger D. Hersch
139
Voted
IPPS
2003
IEEE
15 years 7 months ago
An Object Oriented Framework for an Associative Model of Parallel Computation
An object oriented description and framework of the Multiple ASsociative Computing (MASC) model of parallel computation is presented. This description identifies MASC objects and ...
Michael Scherger, Jerry L. Potter, Johnnie W. Bake...
HPCC
2010
Springer
15 years 2 months ago
Parallel Computational Modelling of Inelastic Neutron Scattering in Multi-node and Multi-core Architectures
Abstract--This paper examines the initial parallel implementation of SCATTER, a computationally intensive inelastic neutron scattering routine with polycrystalline averaging capabi...
Michael T. Garba, Horacio González-Vé...
155
Voted
TCS
2010
15 years 28 days ago
Computing the graph-based parallel complexity of gene assembly
We consider a graph-theoretical formalization of the process of gene assembly in ciliates introduced in Ehrenfeucht et al (2003), where a gene is modeled as a signed graph. The ge...
Artiom Alhazov, Chang Li, Ion Petre
137
Voted
CLUSTER
2006
IEEE
15 years 8 months ago
Heterogeneous Parallel Computing in Remote Sensing Applications: Current Trends and Future Perspectives
Heterogeneous networks of computers have rapidly become a very promising commodity computing solution, expected to play a major role in the design of high performance computing sy...
Antonio J. Plaza