hpcwld: High Performance Cluster Models Based on Kiefer-Wolfowitz Recursion
Version 0.5

Probabilistic 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. Functions provided to import/export workload traces in Standard Workload Format (swf). Stability condition of the model may be verified either exactly, or approximately.

Package details

AuthorAlexander Rumyantsev [aut, cre]
Date of publication2016-07-15 20:17:22
MaintainerAlexander Rumyantsev <ar0@sampo.ru>
LicenseGPL (>= 2)
URL http://www.r-project.org http://cluster.krc.karelia.ru
Package repositoryView on R-Forge
Installation Install the latest version of this package by entering the following in R:
install.packages("hpcwld", repos="http://R-Forge.R-project.org")

Try the hpcwld package in your browser

Any scripts or data that you put into this service are public.

hpcwld documentation built on May 31, 2017, 2:03 a.m.