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hpcwld (version 0.6-4)

High Performance Cluster Models Based on Kiefer-Wolfowitz Recursion

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.

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Version

Install

install.packages('hpcwld')

Monthly Downloads

245

Version

0.6-4

License

GPL (>= 2)

Maintainer

Alexander Rumyantsev

Last Published

April 22nd, 2022

Functions in hpcwld (0.6-4)

HPC_KRC

Workload data for High Performance Cluster of High Performance Data Center of Karelian Research Center, Russian Academy of Sciences.
MaxThroughput2

This function gives the maximal throughput of a two-server supercomputer (Markov) model with various service speeds, various rates of classes and random speed scaling at arrival/depature
ToSWF

Convertor from a dataset to Standart Workload Format
DataToSWF

Convertor from a dataframe to Standart Workload Format
FromSWF

Convertor to a dataset from a Standart Workload Format
X

Dataset with raw workload data from HPDC KRC RAS
HPC_KRC2

Workload data for High Performance Cluster of High Performance Data Center of Karelian Research Center, Russian Academy of Sciences.
DMC

Distributional Measure of Correlation
ApproxC

Approximate, dynamic iterative computation of the stability constant for a workload of a High Performance Cluster model
Wld

Workload of a High Performance Cluster model
hpcwld-package

Model and data for High Performance Cluster workload