Pseudo Random Number Generation for Parallelized Jobs on Clusters

Autor:	Sithu D. Sudarsan, Mike Mikailov, Fu-Jyh Luo
Rok vydání:	2012
Předmět:	Convolution random number generator Pseudorandom number generator Pseudo random number generation Theoretical computer science Random number generation Computer science Cluster (physics) Random function Function (mathematics) Parallel computing Grid
Zdroj:	CCGRID
DOI:	10.1109/ccgrid.2012.69
Popis:	Pseudo random number generators designed for use in programs to be run serially do not function as intended when multiple instances of the programs are run in parallel. We discuss two techniques to address this issue. Further, we verify our techniques using a case study involving statistical analysis.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d2805e6c62808fec95775b4eb931fa6c https://doi.org/10.1109/ccgrid.2012.69 Zobrazit plný text záznamu