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Performance Analysis of Variants of the Branch and Bound Method for Graphics Accelerators

Student: Vladislav Kochergin

Supervisor: Mikhail Posypkin

Faculty: Faculty of Computer Science

Educational Programme: Applied Mathematics and Information Science (Bachelor)

Final Grade: 9

Year of Graduation: 2020

The branch and bound (B\&B) method is a way to solve NP-hard problems relatively quickly. Graphics accelerators are used to expedite the process by executing the algorithm in a number of parallel threads. But the parallelization of the B\&B method is non-trivial due to the peculiarities of the architecture of the graphics accelerators. There are several approaches to implement the parallelization of the B\&B method. In this research, the performance of the approaches will be evaluated using the high-performance computer cluster. Keywords: Graphics Accelerators, Branch and Bound, Optimization, High Performance Computing, CUDA, GPU.

Full text (added May 20, 2020)

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