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PRAND: GPU accelerated parallel random number generation library: Using most reliable algorithms and applying parallelism of modern GPUs and CPUs

Main Author: CPC, Mendeley
Other Authors: Barash, L.Yu., Shchur, L.N.
Format: Dataset
Terbitan: Mendeley , 2014
Subjects:
Computational Physics
Computational Method
Online Access: https:/data.mendeley.com/datasets/fcshw8ccw3
ctrlnum 0.17632-fcshw8ccw3.1
fullrecord <?xml version="1.0"?> <dc><creator>CPC, Mendeley</creator><title>PRAND: GPU accelerated parallel random number generation library: Using most reliable algorithms and applying parallelism of modern GPUs and CPUs </title><publisher>Mendeley</publisher><description>Abstract The library PRAND for pseudorandom number generation for modern CPUs and GPUs is presented. It contains both single-threaded and multi-threaded realizations of a number of modern and most reliable generators recently proposed and studied in Barash (2011), Matsumoto and Tishimura (1998), L'Ecuyer (1999,1999), Barash and Shchur (2006) and the efficient SIMD realizations proposed in Barash and Shchur (2011). One of the useful features for using PRAND in parallel simulations is the ability to ini... Title of program: PRAND Catalogue Id: AESB_v1_0 Nature of problem Any calculation requiring uniform pseudorandom number generator, in particular, Monte Carlo calculations. Any calculation or simulation requiring uncorrelated parallel streams of uniform pseudorandom numbers. Versions of this program held in the CPC repository in Mendeley Data AESB_v1_0; PRAND; 10.1016/j.cpc.2014.01.007 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)</description><subject>Computational Physics</subject><subject>Computational Method</subject><contributor>Barash, L.Yu.</contributor><contributor>Shchur, L.N.</contributor><type>Other:Dataset</type><identifier>10.17632/fcshw8ccw3.1</identifier><rights>Computer Physics Communications Journal Licence</rights><rights>https://www.elsevier.com/about/policies/open-access-licenses/elsevier-user-license/cpc-license/</rights><relation>https:/data.mendeley.com/datasets/fcshw8ccw3</relation><date>2014-04-01T11:00:00Z</date><recordID>0.17632-fcshw8ccw3.1</recordID></dc>
format Other:Dataset
Other
author CPC, Mendeley
author2 Barash, L.Yu.
Shchur, L.N.
title PRAND: GPU accelerated parallel random number generation library: Using most reliable algorithms and applying parallelism of modern GPUs and CPUs
publisher Mendeley
publishDate 2014
topic Computational Physics
Computational Method
url https:/data.mendeley.com/datasets/fcshw8ccw3
contents Abstract The library PRAND for pseudorandom number generation for modern CPUs and GPUs is presented. It contains both single-threaded and multi-threaded realizations of a number of modern and most reliable generators recently proposed and studied in Barash (2011), Matsumoto and Tishimura (1998), L'Ecuyer (1999,1999), Barash and Shchur (2006) and the efficient SIMD realizations proposed in Barash and Shchur (2011). One of the useful features for using PRAND in parallel simulations is the ability to ini... Title of program: PRAND Catalogue Id: AESB_v1_0 Nature of problem Any calculation requiring uniform pseudorandom number generator, in particular, Monte Carlo calculations. Any calculation or simulation requiring uncorrelated parallel streams of uniform pseudorandom numbers. Versions of this program held in the CPC repository in Mendeley Data AESB_v1_0; PRAND; 10.1016/j.cpc.2014.01.007 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
id IOS7969.0.17632-fcshw8ccw3.1
institution Universitas Islam Indragiri
affiliation onesearch.perpusnas.go.id
institution_id 804
institution_type library:university
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library Teknologi Pangan UNISI
library_id 2816
collection Artikel mulono
repository_id 7969
city INDRAGIRI HILIR
province RIAU
shared_to_ipusnas_str 1
repoId IOS7969
first_indexed 2020-04-08T08:15:08Z
last_indexed 2020-04-08T08:15:08Z
recordtype dc
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