Ghidirimschi, Nicolae (2021) Convolution Algorithms for Integer data types. Bachelor's Thesis, Computing Science.
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Abstract
In this bachelor thesis we discuss and implement several convolution algorithms on integer data types and define the scenarios in which each of these algorithms can perform the best in terms of running time. We investigate the individual limitations and bottlenecks of these algorithms, to which we propose potential solutions and optimizations. We also present several novel data-driven convolution algorithms. Lastly, we conduct running time measurements and evaluate the potential of these algorithms and the suggested extensions to be used in practice.
| Item Type: | Thesis (Bachelor's Thesis) |
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| Supervisor name: | Meijster, A. and Netten, S.M. van |
| Degree programme: | Computing Science |
| Thesis type: | Bachelor's Thesis |
| Language: | English |
| Date Deposited: | 13 Jul 2021 08:47 |
| Last Modified: | 13 Jul 2021 08:48 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/25184 |
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