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Solving knapsack problems on GPU. (English) Zbl 1251.90014
Summary: A parallel implementation via CUDA of the dynamic programming method for the knapsack problem on NVIDIA GPU is presented. A GTX 260 card with 192 cores (1.4 GHz) is used for computational tests and processing times obtained with the parallel code are compared to the sequential one on a CPU with an Intel Xeon 3.0 GHz. The results show a speedup factor of 26 for large size problems. Furthermore, in order to limit the communication between the CPU and the GPU, a compression technique is presented which decreases significantly the memory occupancy.

##### MSC:
 90-08 Computational methods for problems pertaining to operations research and mathematical programming 90C90 Applications of mathematical programming 90C39 Dynamic programming 90C27 Combinatorial optimization
CUDA; Knapsack
Full Text:
##### References:
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