GPU Implementation of the Branch and Bound Method for Knapsack Problems
In this paper, we propose an efficient implementation of the branch and bound method for knapsack problems on a CPU-GPU system via CUDA. Branch and bound computations can be carried out either on the CPU or on a GPU according to the size of the branch and bound list. A better management of GPUs memo...
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| Published in: | 2012 26th IEEE International Parallel and Distributed Processing Symposium Workshops pp. 1769 - 1777 |
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| Main Authors: | , |
| Format: | Conference Proceeding |
| Language: | English |
| Published: |
IEEE
01.05.2012
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| Subjects: | |
| ISBN: | 1467309745, 9781467309745 |
| Online Access: | Get full text |
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| Abstract | In this paper, we propose an efficient implementation of the branch and bound method for knapsack problems on a CPU-GPU system via CUDA. Branch and bound computations can be carried out either on the CPU or on a GPU according to the size of the branch and bound list. A better management of GPUs memories, less GPU-CPU communications and better synchronization between GPU threads are proposed in this new implementation in order to increase efficiency. Indeed, a series of computational results is displayed and analyzed showing a substantial speedup on a Tesla C2050 GPU. |
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| AbstractList | In this paper, we propose an efficient implementation of the branch and bound method for knapsack problems on a CPU-GPU system via CUDA. Branch and bound computations can be carried out either on the CPU or on a GPU according to the size of the branch and bound list. A better management of GPUs memories, less GPU-CPU communications and better synchronization between GPU threads are proposed in this new implementation in order to increase efficiency. Indeed, a series of computational results is displayed and analyzed showing a substantial speedup on a Tesla C2050 GPU. |
| Author | Lalami, M. E. El-Baz, D. |
| Author_xml | – sequence: 1 givenname: M. E. surname: Lalami fullname: Lalami, M. E. email: mlalami@laas.fr organization: LAAS, Toulouse, France – sequence: 2 givenname: D. surname: El-Baz fullname: El-Baz, D. email: elbaz@laas.fr organization: LAAS, Toulouse, France |
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| PublicationTitle | 2012 26th IEEE International Parallel and Distributed Processing Symposium Workshops |
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| Snippet | In this paper, we propose an efficient implementation of the branch and bound method for knapsack problems on a CPU-GPU system via CUDA. Branch and bound... |
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| StartPage | 1769 |
| SubjectTerms | branch and bound method Central Processing Unit combinatorial optimization Computer architecture CUDA GPU computing Graphics processing unit hybrid computing Instruction sets Kernel knapsack problems Optimization Upper bound |
| Title | GPU Implementation of the Branch and Bound Method for Knapsack Problems |
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