Visible to Intel only — GUID: GUID-C327CEA8-35EC-433C-A9AF-7E253B98F715
Visible to Intel only — GUID: GUID-C327CEA8-35EC-433C-A9AF-7E253B98F715
Bibliography
For more information about the VS functionality, refer to the following publications:
VS RNG
- [AVX]
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Intel. Intel® Advanced Vector Extensions Programming Reference. (https://software.intel.com/content/www/us/en/develop/home.html)
- [Bratley88]
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Bratley P. and Fox B.L. Implementing Sobol’s Quasirandom Sequence Generator, ACM Transactions on Mathematical Software, Vol. 14, No. 1, Pages 88-100, March 1988.
- [Bratley92]
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Bratley P., Fox B.L., and Niederreiter H. Implementation and Tests of Low-Discrepancy Sequences, ACM Transactions on Modeling and Computer Simulation, Vol. 2, No. 3, Pages 195-213, July 1992.
- [Coddington94]
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Coddington, P. D. Analysis of Random Number Generators Using Monte Carlo Simulation. Int. J. Mod. Phys. C-5, 547, 1994.
- [IntelSWMan]
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Intel. Intel® 64 and IA-32 Architectures Software Developer’s Manual. 3 vols. (https://software.intel.com/content/www/us/en/develop/articles/intel-sdm.html)
- [L’Ecuyer99]
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L’Ecuyer, Pierre. Tables of Linear Congruential Generators of Different Sizes and Good Lattice Structure. Mathematics of Computation, 68, 225, 249-260, 1999.
- [L’Ecuyer99a]
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L’Ecuyer, Pierre. Good Parameter Sets for Combined Multiple Recursive Random Number Generators. Operations Research, 47, 1, 159-164, 1999.
- [Kirkpatrick81]
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Kirkpatrick, S., and Stoll, E. A Very Fast Shift-Register Sequence Random Number Generator. Journal of Computational Physics, V. 40. 517-526, 1981.
- [Matsumoto98]
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Matsumoto, M., and Nishimura, T. Mersenne Twister: A 623-Dimensionally Equidistributed Uniform Pseudo-Random Number Generator, ACM Transactions on Modeling and Computer Simulation, Vol. 8, No. 1, Pages 3-30, January 1998.
- [Matsumoto00]
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Matsumoto, M., and Nishimura, T. Dynamic Creation of Pseudorandom Number Generators, 56-69, in: Monte Carlo and Quasi-Monte Carlo Methods 1998, Ed. Niederreiter, H. and Spanier, J., Springer 2000, http://www.math.sci.hiroshima-u.ac.jp/m-mat/MT/DC/dc.html.
- [NAG]
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NAG Numerical Libraries. https://www.nag.com/content/nag-library
- [Saito08]
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Saito, M., and Matsumoto, M. SIMD-oriented Fast Mersenne Twister: a 128-bit Pseudorandom Number Generator. Monte Carlo and Quasi-Monte Carlo Methods 2006, Springer, Pages 607 – 622, 2008.
http://www.math.sci.hiroshima-u.ac.jp/m-mat/MT/ARTICLES/earticles.html
- [Salmon11]
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Salmon, John K., Morales, Mark A., Dror, Ron O., and Shaw, David E., Parallel Random Numbers: As Easy as 1, 2, 3. SC ‘11 Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis, 2011.
- [Sobol76]
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Sobol, I.M., and Levitan, Yu.L. The production of points uniformly distributed in a multidimensional cube. Preprint 40, Institute of Applied Mathematics, USSR Academy of Sciences, 1976 (In Russian).
- [VS Notes]
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|O-MKL| Vector Statistics Notes, a document presentation on the oneMKL product at https://software.intel.com/content/www/us/en/develop/articles/intel-math-kernel-library-documentation.html
VM
- [IEEE754]
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IEEE Standard for Binary Floating-Point Arithmetic. ANSI/IEEE Std 754-2008.