Title :
Pseudo Random Number Generation for Parallelized Jobs on Clusters
Author :
Mikailov, Mike ; Sudarsan, Sithu D. ; Luo, Fu-Jyh
Author_Institution :
Office of Sci. & Eng. Labs., US Food & Drug Adm., Silver Spring, MD, USA
Abstract :
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.
Keywords :
parallel programming; program verification; random number generation; cluster; parallel job; program verification; pseudo random number generation; statistical analysis; Algorithm design and analysis; Arrays; Clustering algorithms; Computational modeling; Drugs; Generators; Random number generation; Cluster; Grid; Parallel; Pseudo Random Number Generation; Unique;
Conference_Titel :
Cluster, Cloud and Grid Computing (CCGrid), 2012 12th IEEE/ACM International Symposium on
Conference_Location :
Ottawa, ON
Print_ISBN :
978-1-4673-1395-7
DOI :
10.1109/CCGrid.2012.69
