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rscimark
View on CRAN: Click
here
Download and install rscimark package within the R console
Install from CRAN:
install.packages("rscimark")
Install from Github:
library("remotes")
install_github("cran/rscimark")
Install by package version:
library("remotes")
install_version("rscimark", "1.0")
Attach the package and use:
library("rscimark")
Maintained by
Jakob Bossek
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
First Published: 2016-03-17
Latest Update: 2023-05-05
Description:
The SciMark 2.0 benchmark was originally developed in Java as a benchmark for numerical and scientific computational performance. It measures the performance of several computational kernels which are frequently occurring in scientific applications. This package is a simple wrapper around the ANSI C implementation of the benchmark.
How to cite:
Jakob Bossek (2016). rscimark: SciMark 2.0 Benchmark for Scientific and Numerical Computing. R package version 1.0, https://cran.r-project.org/web/packages/rscimark. Accessed 18 Apr. 2025.
Previous versions and publish date:
1.0 (2016-03-17 13:18)
Other packages that cited rscimark R package
View rscimark citation profile
Other R packages that rscimark depends,
imports, suggests or enhances
Functions, R codes and Examples using
the rscimark R package
Some associated functions: rscimark .
Some associated R codes: rscimark.R . zzz.R . Full rscimark package functions and examples
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