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Designing Scientific Applications on GPUs
book

Designing Scientific Applications on GPUs

by Raphael Couturier
November 2013
Intermediate to advanced content levelIntermediate to advanced
498 pages
17h 6m
English
Chapman and Hall/CRC
Content preview from Designing Scientific Applications on GPUs
Parallel GPU-accelerated metaheuristics 193
optimal performances. Among the three traditional parallel models (solution-
level, iteration-level and algorithmic-level), the authors point out that the
most convenient model for the considered heterogeneous architecture is a hy-
brid model combining iteration-level and algorithmic-level models. Several
CPU threads execute several instances of the same S-metaheuristic in parallel
while the GPU device is associated to one CPU core and used to accelerate the
neighborhood calculation of several S-metaheuristics at the same time. In or-
der to efficiently exploit the remaining CPU cores, a load-balancing heuristic is
also proposed in order to decide on the number of additional S-metaheuristics
to launch on the ...
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Publisher Resources

ISBN: 9781466571648