Cellular Automata Based Multiple Stream Parallel Random Number Generator for 64-Bit Computing
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-56943-2_9
Reference12 articles.
1. Bhattacharjee, K., Das, S.: A search for good pseudo-random number generators: survey and empirical studies. Comput. Sci. Rev. 45, 100471 (2022)
2. Matsumoto, M., Nishimura, T.: Mersenne twister: a 623- dimensionally equidistributed uniform pseudo-random number generator. ACM Trans. Model. Comput. Simul. (TOMACS) 8(1), 3–30 (1998)
3. Wolfram, S.: Origins of randomness in physical systems. Phys. Rev. Lett. 55(5), 449 (1985)
4. L’Ecuyer, P., Nadeau-Chamard, O., Chen, Y.-F., Lebar, J.: Multiple streams with recurrence-based, counter-based, and splittable random number generators. In: 2021 Winter Simulation Conference (WSC), pp. 1–16. IEEE (2021)
5. Salmon, J.K., Moraes, M.A., Dror, R.O., Shaw, D.E.: Parallel random numbers: as easy as 1, 2, 3. In: Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis, pp. 1–12 (2011)
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