Performance comparison of CPU and GPGPU calculations using three simple case studies
In this work, we have prepared and analyzed three case studies comparing CPU and GPGPU calculations. After briefly introducing the topic of parallel programming by means of contemporary CPU and GPGPU technologies, we provide an overview of selected existing works closely related to the topic of th...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Vladimir Andrunachievici Institute of Mathematics and Computer Science
2023-04-01
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| Series: | Computer Science Journal of Moldova |
| Subjects: | |
| Online Access: | http://www.math.md/files/csjm/v31-n1/v31-n1-(pp125-140).pdf |
| _version_ | 1797847565061849088 |
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| author | Branislav Lipovsky Slavomir Simonak |
| author_facet | Branislav Lipovsky Slavomir Simonak |
| author_sort | Branislav Lipovsky |
| collection | DOAJ |
| description | In this work, we have prepared and analyzed three case studies comparing CPU and GPGPU calculations.
After briefly introducing the topic of parallel programming by means of contemporary CPU and GPGPU technologies, we provide an overview of selected existing works closely related to the topic of the paper.
For each of the case studies, a set of programs has been implemented using the following technologies: pure CPU, CPU SIMD, CPU multi-threaded, CPU multi-threaded with SIMD instructions, and GPU - Cuda.
We also illustrate the basic idea of the operation of selected algorithms using code snippets.
Subsequently, the particular implementations are compared, and obtained results are evaluated and discussed. |
| first_indexed | 2024-04-09T18:13:29Z |
| format | Article |
| id | doaj.art-6c962b696c324bdc8d8ca7c22287b05b |
| institution | Directory Open Access Journal |
| issn | 1561-4042 2587-4330 |
| language | English |
| last_indexed | 2024-04-09T18:13:29Z |
| publishDate | 2023-04-01 |
| publisher | Vladimir Andrunachievici Institute of Mathematics and Computer Science |
| record_format | Article |
| series | Computer Science Journal of Moldova |
| spelling | doaj.art-6c962b696c324bdc8d8ca7c22287b05b2023-04-13T10:59:22ZengVladimir Andrunachievici Institute of Mathematics and Computer ScienceComputer Science Journal of Moldova1561-40422587-43302023-04-01311(91)125140https://doi.org/10.56415/csjm.v31.07Performance comparison of CPU and GPGPU calculations using three simple case studiesBranislav Lipovsky0https://orcid.org/0000-0001-7079-7519Slavomir Simonak1https://orcid.org/0000-0001-6505-3160Department of Computers and Informatics, Faculty of Electrical Engineering and Informatics, Technical University of Kosice, Letna 9, 042 00 Kosice, Slovak RepublicDepartment of Computers and Informatics, Faculty of Electrical Engineering and Informatics, Technical University of Kosice, Letna 9, 042 00 Kosice, Slovak RepublicIn this work, we have prepared and analyzed three case studies comparing CPU and GPGPU calculations. After briefly introducing the topic of parallel programming by means of contemporary CPU and GPGPU technologies, we provide an overview of selected existing works closely related to the topic of the paper. For each of the case studies, a set of programs has been implemented using the following technologies: pure CPU, CPU SIMD, CPU multi-threaded, CPU multi-threaded with SIMD instructions, and GPU - Cuda. We also illustrate the basic idea of the operation of selected algorithms using code snippets. Subsequently, the particular implementations are compared, and obtained results are evaluated and discussed.http://www.math.md/files/csjm/v31-n1/v31-n1-(pp125-140).pdfcudamulti-threadingsimdmatrix multiplicationsobel operatortemplate matching |
| spellingShingle | Branislav Lipovsky Slavomir Simonak Performance comparison of CPU and GPGPU calculations using three simple case studies Computer Science Journal of Moldova cuda multi-threading simd matrix multiplication sobel operator template matching |
| title | Performance comparison of CPU and GPGPU calculations using three simple case studies |
| title_full | Performance comparison of CPU and GPGPU calculations using three simple case studies |
| title_fullStr | Performance comparison of CPU and GPGPU calculations using three simple case studies |
| title_full_unstemmed | Performance comparison of CPU and GPGPU calculations using three simple case studies |
| title_short | Performance comparison of CPU and GPGPU calculations using three simple case studies |
| title_sort | performance comparison of cpu and gpgpu calculations using three simple case studies |
| topic | cuda multi-threading simd matrix multiplication sobel operator template matching |
| url | http://www.math.md/files/csjm/v31-n1/v31-n1-(pp125-140).pdf |
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