125 search results - page 10 / 25 » Implementing LNS using filtering units of GPUs |
145
Voted
IPPS
2010
IEEE
15 years 1 months ago
2010
IEEE
Local search (LS) algorithms are among the most powerful techniques for solving computationally hard problems in combinatorial optimization. These algorithms could be viewed as &q...
118
Voted
ICRA
2009
IEEE
15 years 10 months ago
2009
IEEE
— In this paper a novel implementation of the saliency map model on a multi-GPU platform using CUDA technology is presented. The saliency map model is a wellknown computational m...
143
Voted
PDP
2009
IEEE
15 years 10 months ago
2009
IEEE
There is a multicore platform that is currently concentrating an enormous attention due to its tremendous potential in terms of sustained performance: the NVIDIA Tesla boards. The...
177
Voted
ASPLOS
2011
ACM
14 years 7 months ago
2011
ACM
Graphics processing units (GPUs) provide a low cost platform for accelerating high performance computations. The introduction of new programming languages, such as CUDA and OpenCL...
164
Voted
PLDI
2012
ACM
13 years 6 months ago
2012
ACM
While graphics processing units (GPUs) provide low-cost and efficient platforms for accelerating high performance computations, the tedious process of performance tuning required...