Random number generation and quasi-Monte Carlo methods
Random number generation and quasi-Monte Carlo methods
Quasirandom number generators for parallel Monte Carlo algorithms
Journal of Parallel and Distributed Computing
Scrambling sobol' and niederreiter-xing points
Journal of Complexity
Remark on algorithm 659: Implementing Sobol's quasirandom sequence generator
ACM Transactions on Mathematical Software (TOMS)
A New Efficient Algorithm for Generating the Scrambled Sobol' Sequence
NMA '02 Revised Papers from the 5th International Conference on Numerical Methods and Applications
The effective dimension and quasi-Monte Carlo integration
Journal of Complexity
Algorithm 823: Implementing scrambled digital sequences
ACM Transactions on Mathematical Software (TOMS)
Variance with alternative scramblings of digital nets
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Scrambled quasirandom sequences and their applications
Scrambled quasirandom sequences and their applications
Research Note: Generating parallel quasirandom sequences via randomization
Journal of Parallel and Distributed Computing
International Journal of Parallel, Emergent and Distributed Systems
Efficient Generation of Parallel Quasirandom Faure Sequences Via Scrambling
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part I: ICCS 2007
Sensitivity study of heston stochastic volatility model using GPGPU
LSSC'11 Proceedings of the 8th international conference on Large-Scale Scientific Computing
Hi-index | 0.00 |
Sobol sequence is the most widely used low discrepancy sequence for numerical solving of multiple integrals and other quasi-Monte Carlo computations Owen first proposed scrambling of this sequence through permutation in a manner that maintained its low discrepancy Scrambling is necessary not only for error analysis but for parallel implementations Good scrambling is especially important for GRID applications However, scrambling is often difficult to implement and time consuming In this paper we propose fast generation of Sobol sequence with Owen scrambling, tuned to specific hardware Numerical and timing results, demonstrating the advantages of our approach are presented and discussed.