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Reproductibilité et répétabilité numérique. Constats, conseils et bonnes pratiques pour le cas des simulations stochastiques parallèles et distribuées.

, , , and . Technique et Science Informatiques, 36 (3-6): 243-272 (2017)

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A model-driven software environment for modeling, simulation and analysis of complex systems., , and . SpringSim (TMS-DEVS), page 229-237. SCS/ACM, (2011)Development of a Metamodel for Medical Database Management on a Grid Network: Application to Health Watch and Epidemiology for Cancer and Perinatal Health., , , , and . CCGRID, page 892-897. IEEE Computer Society, (2012)How to correctly deal with pseudorandom numbers in manycore environments: Application to GPU programming with Shoverand., and . HPCS, page 25-31. IEEE, (2012)ShoveRand: A model-driven framework to easily generate random numbers on GP-GPU., , , and . HPCS, page 41-48. IEEE, (2011)Reliable Initialization of GPU-enabled Parallel Stochastic Simulations Using Mersenne Twister for Graphics Processors., , , and . CoRR, (2015)A software framework for fine grain parallelization of cellular models with OpenMP: Application to fire spread., , , and . Environmental Modelling and Software, 24 (7): 819-831 (2009)Contribution of Model-Driven Engineering to Crop Modeling., , and . ICCSA (1), volume 7971 of Lecture Notes in Computer Science, page 253-263. Springer, (2013)Active-DEVS: a computational model for the simulation of forest fire propagation., , , , and . SMC (2), page 1857-1863. IEEE, (2004)Pseudo-Random Number Generation on GP-GPU., , and . PADS, page 1-8. IEEE Computer Society, (2011)Hash-life algorithm on 3D excitable medium application to integrative biology., , and . SummerSim, page 387-393. Society for Computer Simulation International / ACM DL, (2010)