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hpcwld
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Download and install hpcwld package within the R console
Install from CRAN:
install.packages("hpcwld")
Install from Github:
library("remotes")
install_github("cran/hpcwld")
Install by package version:
library("remotes")
install_version("hpcwld", "0.6-5")
Attach the package and use:
library("hpcwld")
Maintained by
Alexander Rumyantsev
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-07-16
Latest Update: 2022-06-26
Description:
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.
Stability analysis: see Rumyantsev and Morozov (2017) ,
workload recursion: see Rumyantsev (2014) .
How to cite:
Alexander Rumyantsev (2014). hpcwld: High Performance Cluster Models Based on Kiefer-Wolfowitz Recursion. R package version 0.6-5, https://cran.r-project.org/web/packages/hpcwld
Previous versions and publish date:
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Other R packages that hpcwld depends,
imports, suggests or enhances
Functions, R codes and Examples using
the hpcwld R package
Some associated functions: ApproxC . DMC . DataToSWF . FromSWF . HPC_KRC . HPC_KRC2 . MaxThroughput2 . ToSWF . Wld . X . hpcwld-package .
Some associated R codes: DMC.R . SWF.R . Stability.R . Workload.R . Full hpcwld package functions and examples
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