Accelerated R with CUDA on Linux

The R programming language uses Basic Linear Algebra Subprograms (BLAS) for performing common linear algebra operations such as vector addition, scalar multiplication, dot products, linear combinations, and matrix multiplication. R includes Netlib BLAS by default. Significant performance gains can be achieved by replacing that with a different BLAS library such as OpenBLAS or ATLAS. Further … Continue reading Accelerated R with CUDA on Linux