Articles | Volume 12
https://doi.org/10.5194/ars-12-75-2014
https://doi.org/10.5194/ars-12-75-2014
10 Nov 2014
 | 10 Nov 2014

On parallel random number generation for accelerating simulations of communication systems

C. Brugger, S. Weithoffer, C. de Schryver, U. Wasenmüller, and N. Wehn

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Cited articles

Chandrasekaran, S. and Amira, A.: High Performance FPGA Implementation of the Mersenne Twister, in: Electronic Design, Test and Applications, DELTA 2008, 4th IEEE International Symposium on, 482–485, https://doi.org/10.1109/DELTA.2008.113, 2008.
Dalal, I. L. and Stefan, D.: A Hardware Framework for the Fast Generation of Multiple Long-period Random Number Streams, in: Proceedings of the 16th international ACM/SIGDA symposium on Field programmable gate arrays, FPGA '08, 245–254, ACM, New York, NY, USA, https://doi.org/10.1145/1344671.1344707, 2008.
Haramoto, H., Matsumoto, M., Nishimura, T., Panneton, F., and L'Ecuyer, P.: Efficient Jump Ahead for F2-Linear Random Number Generators, INFORMS J. Comput., 20, 385–390, https://doi.org/10.1287/ijoc.1070.0251, 2008.
Hill, D. R. C., Mazel, C., Passerat-Palmbach, J., and Traore, M. K.: Distribution of random streams for simulation practitioners, Concurr. Comp.-Pract. E., 25, 1427–1442, https://doi.org/10.1002/cpe.2942, 2013.
Knuth, D. E.: Seminumerical Algorithms, vol. 2 of The Art of Computer Programming, Addison-Wesley, Reading, Massachusetts, 3 Edn., 1997.