| hpcwld-package {hpcwld} | R Documentation |
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 |
Author(s)
Alexander Rumyantsev (Institute of Applied Mathematical Research, Karelian Research Centre, RAS)
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.
Examples
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