David Munger
David Munger
Montréal
Verified email at umontreal.ca
Title
Cited by
Cited by
Year
Random numbers for parallel computers: Requirements and methods, with emphasis on GPUs
P L’Ecuyer, D Munger, B Oreshkin, R Simard
Mathematics and Computers in Simulation 135, 3-17, 2017
432017
Algorithm 958: Lattice builder: A general software tool for constructing rank-1 lattice rules
P L'ecuyer, D Munger
ACM Transactions on Mathematical Software (TOMS) 42 (2), 1-30, 2016
402016
Estimation of the mixed logit likelihood function by randomized quasi-Monte Carlo
D Munger, P L’Ecuyer, F Bastin, C Cirillo, B Tuffin
Transportation Research Part B: Methodological 46 (2), 305-320, 2012
262012
On figures of merit for randomly-shifted lattice rules
P L’Ecuyer, D Munger
Monte Carlo and Quasi-Monte Carlo Methods 2010, 133-159, 2012
222012
On the distribution of integration error by randomly-shifted lattice rules
P L’Ecuyer, D Munger, B Tuffin
Electronic Journal of Statistics 4, 950-993, 2010
192010
Sorting methods and convergence rates for Array-RQMC: some empirical comparisons
P L’Ecuyer, D Munger, C Lécot, B Tuffin
Mathematics and Computers in Simulation 143, 191-201, 2018
122018
Simulation numérique des instabilités magnétohydrodynamiques dans les cuves de production de l'aluminium
D Munger
122004
A level set approach to simulate magnetohydrodynamic instabilities in aluminum reduction cells
D Munger, A Vincent
Journal of Computational Physics 217 (2), 295-311, 2006
112006
La simulation de Monte-Carlo
B Tuffin
Interstices, 2017
102017
A cylindrical model for rotational MHD instabilities in aluminum reduction cells
D Munger, A Vincent
Theoretical and Computational Fluid Dynamics 22 (5), 363-382, 2008
72008
Electric boundary conditions at the anodes in aluminum reduction cells
D Munger, A Vincent
Metallurgical and Materials Transactions B 37 (6), 1025-1035, 2006
72006
Direct simulations of MHD instabilities in aluminium reduction cells
D Munger, A Vincent
Magnetohydrodynamics 42 (4), 417-425, 2006
72006
clRNG: a random number API with multiple streams for OpenCL
P L’Ecuyer, D Munger, N Kemerchou
report, http://www. iro. umontreal. ca/∼ lecuyer/myftp/papers/clrng-api. pdf, 2015
62015
Numerical simulation of the magnetohydrodynamic instabilities in aluminium reduction cells
D Munger, A Vincent
Proceedings of the 12th Annual Conference of the CFD Society of Canada …, 2004
42004
On the scenario-tree optimal-value error for stochastic programming problems
J Keutchayan, D Munger, M Gendreau
Mathematics of Operations Research 45 (4), 1572-1595, 2020
32020
The figure of demerit: a quality measure for the discretization of probability distributions in multistage stochastic optimization
J Keutchayan, D Munger, M Gendreau, F Bastin
Preprint, 2018
22018
Modelling and analysis data fragmentation in IEEE 802.15. 4 slotted CSMA/CA protocol without ACK mode
M Atmani, D Aïssani, Y Hadjadj-Aoul
International Journal of Critical Computer-Based Systems 7 (1), 4-21, 2017
22017
On the dynamics of 3-D single thermal plumes at various Prandtl numbers and Rayleigh numbers
AP Vincent, DA Yuen, D Munger, G Zhu
Geophysical & Astrophysical Fluid Dynamics 106 (2), 138-156, 2012
22012
Stabilité magnétohydrodynamique des cuves d'électrolyse: aspects physiques et idées nouvelles
D Munger
22008
A New Scenario-Tree Generation Approach for Multistage Stochastic Programming Problems Based on a Demerit Criterion
J Keutchayan, D Munger, M Gendreau, F Bastin
CIRRELT, Centre interuniversitaire de recherche sur les réseaux d'entreprise …, 2017
12017
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