README.md

hpcvis

The hpcvis package offers powerful, reproducible visualization utilities with simple syntax for MPI profiler data and hardware performance counter data.

For MPI profiling, see the pbdPROF package, and for performance counter data, see the pbdPAPI package.

Installation

The development version is maintained on GitHub, and can easily be installed by any of the packages that offer installations from GitHub:

devtools::install_github("RBigData/hpcvis")
ghit::install_github("RBigData/hpcvis")
remotes::install_github("RBigData/hpcvis")

Usage

Since the package is separated into two separate components (MPI and performance counter profiling), it is difficult to show off/motivate the package in a few lines. So you are strongly encouraged to see any of the three package vignettes. But generally, using the package is no more difficult that calling:

profplot(x)

or

papiplot(x)

Authors

hpcvis is authored and maintained by members of the pbdR core team: Drew Schmidt Wei-Chen Chen

With additional contributions from: * Gaurav Sehrawat



RBigData/scribe documentation built on May 8, 2019, 5:49 a.m.