Framework for utilizing computational devices within simulation
Nowadays there exist several frameworks to utilize a computation power of graphics cards and other computational devices such as FPGA, ARM and multi-core processors. The best known are either low-level and need a lot of controlling code or are bounded only to special graphic cards. Furthermore there...
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| Format: | Article |
| Language: | English |
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Prague University of Economics and Business
2013-12-01
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| Series: | Acta Informatica Pragensia |
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| Online Access: | http://aip.vse.cz/index.php/aip/article/download/49/31 |
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| _version_ | 1850264413366386688 |
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| author | Miroslav Mintál |
| author_facet | Miroslav Mintál |
| author_sort | Miroslav Mintál |
| collection | DOAJ |
| description | Nowadays there exist several frameworks to utilize a computation power of graphics cards and other computational devices such as FPGA, ARM and multi-core processors. The best known are either low-level and need a lot of controlling code or are bounded only to special graphic cards. Furthermore there exist more specialized frameworks, mainly aimed to the mathematic field. Described framework is adjusted to use in a multi-agent simulations. Here it provides an option to accelerate computations when preparing simulation and mainly to accelerate a computation of simulation itself. |
| format | Article |
| id | doaj-art-1f1ac9d0702d425d8ed6e34b3e55d61d |
| institution | OA Journals |
| issn | 1805-4951 |
| language | English |
| publishDate | 2013-12-01 |
| publisher | Prague University of Economics and Business |
| record_format | Article |
| series | Acta Informatica Pragensia |
| spelling | doaj-art-1f1ac9d0702d425d8ed6e34b3e55d61d2025-08-20T01:54:42ZengPrague University of Economics and BusinessActa Informatica Pragensia1805-49512013-12-01225967Framework for utilizing computational devices within simulationMiroslav Mintál0Faculty of Management Science and Informatics, University of ŽilinaNowadays there exist several frameworks to utilize a computation power of graphics cards and other computational devices such as FPGA, ARM and multi-core processors. The best known are either low-level and need a lot of controlling code or are bounded only to special graphic cards. Furthermore there exist more specialized frameworks, mainly aimed to the mathematic field. Described framework is adjusted to use in a multi-agent simulations. Here it provides an option to accelerate computations when preparing simulation and mainly to accelerate a computation of simulation itself.http://aip.vse.cz/index.php/aip/article/download/49/31GPGPUGPU frameworkOpenCLSimulation |
| spellingShingle | Miroslav Mintál Framework for utilizing computational devices within simulation Acta Informatica Pragensia GPGPU GPU framework OpenCL Simulation |
| title | Framework for utilizing computational devices within simulation |
| title_full | Framework for utilizing computational devices within simulation |
| title_fullStr | Framework for utilizing computational devices within simulation |
| title_full_unstemmed | Framework for utilizing computational devices within simulation |
| title_short | Framework for utilizing computational devices within simulation |
| title_sort | framework for utilizing computational devices within simulation |
| topic | GPGPU GPU framework OpenCL Simulation |
| url | http://aip.vse.cz/index.php/aip/article/download/49/31 |
| work_keys_str_mv | AT miroslavmintal frameworkforutilizingcomputationaldeviceswithinsimulation |