hpcwld (version 0.5)

hpcwld-package: Model and data for High Performance Cluster workload

Description

This package contains several models describing the behavior of workload and queue on a High Performance Cluster and computing GRID under FIFO service discipline basing on modified Kiefer-Wolfowitz recursion. Also sample data for inter-arrival times, service times, number of cores per task and waiting times of HPC of Karelian Research Centre are included, measurements took place from 06/03/2009 to 02/30/2011. The stability condition of the model can be verified either exactly, or approximately.

Details

Package:	hpcwld
Type:	Package
Version:	0.5
Date:	2015-02-14
License:	GNU GPL
LazyLoad:	yes

References

E.V. Morozov, A.Rumyantsev. Stability analysis of a multiprocessor model describing a high performance cluster. XXIX International Seminar on Stability Problems for Stochastic Models and V International Workshop "Applied Problems in Theory of Probabilities and Mathematical Statistics related to modeling of information systems". Book of Abstracts. 2011. Pp. 82--83.

A. Rumyantsev. Simulating Supercomputer Workload with hpcwld package for R // Proceedings of 2014 15th International Conference on Parallel and Distributed Computing, Applications and Technologies. IEEE, 2014. P. 138-143. URL: http://conferences.computer.org/pdcat/2014/papers/8334a138.pdf

A. Rumyantsev. Evaluating the stability of supercomputer workload model // Journal on Selected Topics in Nano Electronics and Computing, Vol. 2, No. 2, December 2014. P. 36-39.

http://cluster.krc.karelia.ru

Examples

# NOT RUN {
Wld(T=rexp(1000,1), S=rexp(1000,1), round(runif(1000,1,10)), 10)
# returns the workload, delay and total cpus used 
# for a cluster with 10 CPUs and random exponential times
# }