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
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