This package offers a single function rscimark, which is a simple wrapper
around the ANSI C version of the SciMark2 benchmark. SciMark is a benchmark for numerical computing and scientific computing. Concicely the
performance measurements for the computational kernels Fast Fourier Transformation (FFT), Gauss-Seidel relaxation, Sparse matrix-multiply, Monte Carlo integration, and dense LU factorization are used as indicators for the performance.
Run the following command in R to install the current GitHub version. For further installation instructions take a glance at our guide.
devtools::install_github("berndbischl/rscimark")To run the SciMark 2.0 benchmark from within R just open a R session and type the following:
library(rscimark)
rscimark()To address performance of the memory subsystem with problems sizes which to not fit in the cache set the large parameter to TRUE.
rscimark(large = TRUE)