papiexport: papiexport

In RBigData/pbdPAPI: Programming with Big Data --- Interface to PAPI

Description

Export pbdPAPI profiler objects. The typicial use case would be to profile with pbdPAPI, export the profiler objects, then finally import them to an R session where the hpcvis package is installed.

Usage

papiexport(..., file = NULL)

Arguments

...	A set of objects generated
file	An optional argument to

Details

pbdPAPI can only be installed and utilized in a limited number of environments (mostly Linux). Particularly for managed machines (clusters, supercomputers, servers) where the user does not have root access, installing large sets of dependencies can be very difficult. The hpcvis package greatly enhances pbdPAPI's capabilities, adding numerous plot utilities, but at the cost of a very large dependency chain. With papiexport(), one can easily run the benchmarks on a machine with pbdPAPI installed, export them with papiexport(), then import the results into an R session with hpcvis installed.

The function is a wrapper around dump().

Value

NULL

Examples

## Not run: 
library(pbdPAPI)
x <- system.cache(rnorm(1e4))
y <- system.cache(rnorm(2e4))

papiexport(x, y)

## End(Not run)

RBigData/pbdPAPI documentation built on May 8, 2019, 5:48 a.m.