Parallelization of Gillespie algorithm based on binary words
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| Publicado en: | arXiv.org (Dec 21, 2024), p. n/a |
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Cornell University Library, arXiv.org
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| Acceso en línea: | Citation/Abstract Full text outside of ProQuest |
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| 001 | 3148979723 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2331-8422 | ||
| 035 | |a 3148979723 | ||
| 045 | 0 | |b d20241221 | |
| 100 | 1 | |a Lacoste, David | |
| 245 | 1 | |a Parallelization of Gillespie algorithm based on binary words | |
| 260 | |b Cornell University Library, arXiv.org |c Dec 21, 2024 | ||
| 513 | |a Working Paper | ||
| 520 | 3 | |a We present an improvement of the Gillespie Exact Stochastic Simulation Algorithm, which leverages a bitwise representation of variables to perform independent simulations in parallel. We show that the subsequent gain in computational yield is significant, and it may allow to perform simulations of non-well mixed chemical systems. We illustrate this idea with simulations of Frank model, originally introduced to explain the emergence of homochirality in prebiotic systems. | |
| 653 | |a Parallel processing | ||
| 653 | |a Algorithms | ||
| 653 | |a Independent variables | ||
| 700 | 1 | |a Castellana, Michele | |
| 773 | 0 | |t arXiv.org |g (Dec 21, 2024), p. n/a | |
| 786 | 0 | |d ProQuest |t Engineering Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3148979723/abstract/embedded/ZKJTFFSVAI7CB62C?source=fedsrch |
| 856 | 4 | 0 | |3 Full text outside of ProQuest |u http://arxiv.org/abs/2412.16613 |