Fast and robust PRNGs based on jumps in N-cubes for simulation, but not exclusively for that
In: The 2019 International Conference on High Performance Computing & Simulation The 2019 International Conference on High Performance Computing & Simulation, Jul 2019, Dublin, Ireland HPCS International Conference on High Performance Computing & Simulation International Conference on High Performance Computing & Simulation, Jul 2019, Dublin, Ireland; (2019-07-15)
Online
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Zugriff:
International audience; Pseudo-Random Number Generators (PRNG) are omnipresent in computer science: they are embedded in all approaches of numerical simulation (for exhaustiveness), optimization (to discover new solutions), testing (to detect bugs) cryptography (to generate keys), and deep learning (for initialization, to allow generalizations). . . . PRNGs can be basically divided in two main categories: fast ones, robust ones. Theformer have often statistical biases such as not being uniformly distributed in all dimensions, having a too short period of time,. . . . In the latter case, statistical quality is present but the generators are not fast. This is typically what is encountered when running a cryptographically secure PRNG. In this paper, we propose alternative architectures, based on jumps in N-cubes, that provide fast and robust PRNGs for efficient simulations, but not exclusively for that.
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Fast and robust PRNGs based on jumps in N-cubes for simulation, but not exclusively for that
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| Autor/in / Beteiligte Person: | Héam, Pierre-Cyrille ; Bakiri, Mohammed ; Couchot, Jean-François ; Contassot-Vivier, Sylvain ; SIMulating and Building IOT (SIMBIOT) ; Department of Networks, Systems and Services (LORIA - NSS) ; Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA) ; Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA) ; Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS) ; Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174) (FEMTO-ST) ; Université de Technologie de Belfort-Montbeliard (UTBM)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Université de Franche-Comté (UFC) ; Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Centre National de la Recherche Scientifique (CNRS) ; Centre de Développement des Technologies Avancées (CDTA) ; ANR-11-LABX-0001,ACTION,Systèmes intelligents intégrés au cœur de la matière(2011) ; Université de Technologie de Belfort-Montbeliard (UTBM)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC) ; Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC) |
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| Quelle: | The 2019 International Conference on High Performance Computing & Simulation The 2019 International Conference on High Performance Computing & Simulation, Jul 2019, Dublin, Ireland HPCS International Conference on High Performance Computing & Simulation International Conference on High Performance Computing & Simulation, Jul 2019, Dublin, Ireland; (2019-07-15) |
| Veröffentlichung: | HAL CCSD, 2019 |
| Medientyp: | unknown |
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