Parallel Monte Carlo computations in SCore environment
Parallel Monte Carlo (PMC) methods are successful because particles are typically independent and easily distributed to multiple processors. We use the PC Cluster TAURAS [1] with the SCore cluster system software on top of Linux OS to present the strategy for parallelizing Monte Carlo calculations....
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| Format: | Article |
| Language: | English |
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Vilnius University Press
2004-12-01
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| Series: | Lietuvos Matematikos Rinkinys |
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| Online Access: | https://www.journals.vu.lt/LMR/article/view/31950 |
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| _version_ | 1832593218883026944 |
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| author | Svajonė Vošterienė |
| author_facet | Svajonė Vošterienė |
| author_sort | Svajonė Vošterienė |
| collection | DOAJ |
| description |
Parallel Monte Carlo (PMC) methods are successful because particles are typically independent and easily distributed to multiple processors. We use the PC Cluster TAURAS [1] with the SCore cluster system software on top of Linux OS to present the strategy for parallelizing Monte Carlo calculations. The cluster help us to generate parallel random numbers for simulating our task and to computerize parallel programs. In this particle we present the PMC, who let us simulate the mortar firing. We propose computations that are very effective because the digital experiment can substitute costly firings at the shooting range, the pollution of the environment is reduced, etc.
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| format | Article |
| id | doaj-art-bcab17108ef44611abe20aa10544b91d |
| institution | Kabale University |
| issn | 0132-2818 2335-898X |
| language | English |
| publishDate | 2004-12-01 |
| publisher | Vilnius University Press |
| record_format | Article |
| series | Lietuvos Matematikos Rinkinys |
| spelling | doaj-art-bcab17108ef44611abe20aa10544b91d2025-01-20T18:16:46ZengVilnius University PressLietuvos Matematikos Rinkinys0132-28182335-898X2004-12-0144spec.10.15388/LMR.2004.31950Parallel Monte Carlo computations in SCore environmentSvajonė Vošterienė0Military Academy Parallel Monte Carlo (PMC) methods are successful because particles are typically independent and easily distributed to multiple processors. We use the PC Cluster TAURAS [1] with the SCore cluster system software on top of Linux OS to present the strategy for parallelizing Monte Carlo calculations. The cluster help us to generate parallel random numbers for simulating our task and to computerize parallel programs. In this particle we present the PMC, who let us simulate the mortar firing. We propose computations that are very effective because the digital experiment can substitute costly firings at the shooting range, the pollution of the environment is reduced, etc. https://www.journals.vu.lt/LMR/article/view/31950Monte Carlo methodspseudo-random number generatorparallel computing |
| spellingShingle | Svajonė Vošterienė Parallel Monte Carlo computations in SCore environment Lietuvos Matematikos Rinkinys Monte Carlo methods pseudo-random number generator parallel computing |
| title | Parallel Monte Carlo computations in SCore environment |
| title_full | Parallel Monte Carlo computations in SCore environment |
| title_fullStr | Parallel Monte Carlo computations in SCore environment |
| title_full_unstemmed | Parallel Monte Carlo computations in SCore environment |
| title_short | Parallel Monte Carlo computations in SCore environment |
| title_sort | parallel monte carlo computations in score environment |
| topic | Monte Carlo methods pseudo-random number generator parallel computing |
| url | https://www.journals.vu.lt/LMR/article/view/31950 |
| work_keys_str_mv | AT svajonevosteriene parallelmontecarlocomputationsinscoreenvironment |