A. Rukhin, J. Soto, J. Nechvatal, M. Smid, E. Barker et al., A statistical test suite for random and pseudorandom number generators for cryptographic applications, NIST, Tech. Rep, 2001.
DOI : 10.6028/NIST.SP.800-22

P. L. Ecuyer and R. Simard, Testu01: A c library for empirical testing of random number generators, ACM Transactions on Mathematical Software, vol.33, issue.22, pp.1-40, 2007.

P. Coddington, Random number generators for parallel computers, NHSE, Tech. Rep, vol.2, 1996.

P. Hellekalek, Good random number generators are (not so) easy to find, Mathematics and Computers in Simulation, vol.46, issue.5-6, pp.485-505, 1998.
DOI : 10.1016/S0378-4754(98)00078-0

D. Hill, Practical distribution of random streams for stochastic High Performance Computing, 2010 International Conference on High Performance Computing & Simulation, pp.1-8, 2010.
DOI : 10.1109/HPCS.2010.5547156

K. Opencl and W. Group, The opencl specification, Khronos Group, Specification, vol.1, issue.1, 2010.

K. Karimi, N. Dickson, and F. Hamze, A performance comparison of cuda and opencl, 2010.

M. Saito, Variants of Mersenne Twister Suitable for Graphic Processors, ACM Transactions on Mathematical Software, vol.39, issue.2, 2010.
DOI : 10.1145/2427023.2427029

M. Matsumoto and T. Nishimura, Mersenne twister: a 623-dimensionally equidistributed uniform pseudo-random number generator, ACM Transactions on Modeling and Computer Simulation, vol.8, issue.1, pp.3-30, 1998.
DOI : 10.1145/272991.272995

M. Saito and M. Matsumoto, SIMD-Oriented Fast Mersenne Twister: a 128-bit Pseudorandom Number Generator, pp.607-622, 2006.
DOI : 10.1007/978-3-540-74496-2_36

L. Maigne, D. Hill, P. Calvat, V. Breton, R. Reuillon et al., PARALLELIZATION OF MONTE CARLO SIMULATIONS AND SUBMISSION TO A GRID ENVIRONMENT, Parallel processing letters, pp.177-196, 2004.
DOI : 10.1142/S0129626404001829
URL : https://hal.archives-ouvertes.fr/in2p3-00023432

J. Passerat-palmbach, C. Mazel, A. Mahul, and D. Hill, Reliable initialization of gpuenabled parallel stochastic simulations using mersenne twister for graphics processors, pp.187-195, 2010.
URL : https://hal.archives-ouvertes.fr/hal-01083150

D. Kirk and W. Hwu, Programming Massively Parallel Processors, pp.978-0123814722, 2010.

N. and N. Cuda, Programming Guide Version 3, 2010.

G. Marsaglia, Xorshift RNGs, Journal of Statistical Software, vol.8, issue.14, pp.1-6, 2003.
DOI : 10.18637/jss.v008.i14

J. Hoberock and N. Bell, Thrust: A parallel template library, 2010.

R. Tausworthe, Random numbers generated by linear recurrence modulo two, Mathematics of Computation, vol.19, issue.90, pp.201-209, 1965.
DOI : 10.1090/S0025-5718-1965-0184406-1

G. Marsaglia, B. Narasimhan, and A. Zaman, A random number generator for PC's, Computer Physics Communications, vol.60, issue.3, pp.345-349, 1990.
DOI : 10.1016/0010-4655(90)90033-W

G. Marsaglia and A. Zaman, A New Class of Random Number Generators, The Annals of Applied Probability, vol.1, issue.3, pp.462-480, 1991.
DOI : 10.1214/aoap/1177005878

P. L. Ecuyer, Maximally equidistributed combined Tausworthe generators, Mathematics of Computation, vol.65, issue.213, pp.203-213, 1996.
DOI : 10.1090/S0025-5718-96-00696-5

H. Haramoto, M. Matsumoto, T. Nishimura, F. Panneton, and P. L. Ecuyer, Efficient jump ahead for f2-linear random number generators, INFORMS Journal on Computing, 2007.

A. De-matteis, J. Eichenauer-herrmann, and H. Grothe, Computation of critical distances within multiplicative congruential pseudorandom number sequences, Journal of Computational and Applied Mathematics, vol.39, issue.1, pp.49-55, 1992.
DOI : 10.1016/0377-0427(92)90221-I

A. , D. Matteis, and S. Pagnutti, Critical distances in pseudorandom sequences generated with composite moduli, International Journal of Computer Mathematics, vol.43, issue.3, pp.189-196, 1992.

P. Wu and K. Huang, Parallel use of multiplicative congruential random number generators, Computer Physics Communications, vol.175, issue.1, pp.25-29, 2006.
DOI : 10.1016/j.cpc.2004.08.009

M. Mascagni and A. Srinivasan, Parameterizing parallel multiplicative lagged-Fibonacci generators, Parallel Computing, vol.30, issue.7, pp.899-916, 2004.
DOI : 10.1016/j.parco.2004.06.001

M. Matsumoto and T. Nishimura, Dynamic Creation of Pseudorandom Number Generators, Monte Carlo and Quasi-Monte Carlo Methods, pp.56-69, 1998.
DOI : 10.1007/978-3-642-59657-5_3

D. Matteis and S. Pagnutti, Parallelization of random number generators and long-range correlations, Numerische Mathematik, vol.10, issue.No. 2, pp.595-608, 1988.
DOI : 10.1007/BF01397554