Paper Info
Title
Launcher: A Shell-based Framework for Rapid Development of Parallel Parametric Studies
Abstract
Petascale computing systems have enabled tremendous advances for traditional simulation and modeling algorithms that are built around parallel execution. Unfortunately, scientific domains using data-oriented or high-throughput paradigms have difficulty taking full advantage of these resources without custom software development. This paper describes our solution for rapidly developing parallel parametric studies using sequential or threaded tasks: The launcher. We detail how to get ensembles executing quickly through common job schedulers SGE and SLURM, and the various user-customizable options that the launcher provides. We illustrate the efficiency of or tool by presenting execution results at large scale (over 65,000 cores) for varying workloads, including a virtual screening workload with indeterminate runtimes using the drug docking software Autodock Vina.
Year
DOI
Venue
2014
10.1145/2616498.2616534
XSEDE
Keywords
Field
DocType
concurrent programming,parametric studies,scalable applications,software frameworks
Computer science,Custom software,Workload,Parallel computing,Software,Parametric statistics,Virtual screening,Petascale computing,AutoDock,Software framework
Conference
Citations 
PageRank 
References 
3
0.54
4
Authors
2
Name
Order
Citations
PageRank
Lucas A. Wilson1135.24
John M Fonner252.03