The NVIDIA cuBLAS library is a fast GPU-accelerated implementation of the standard basic linear algebra subroutines (BLAS). Using cuBLAS APIs, you can speed up your applications by deploying compute-intensive operations to a single GPU or scale up and distribute work across multi-GPU configurations efficiently.
NVBLAS is a GPU-accelerated version of BLAS that further accelerates BLAS Level-3 routines by dynamically routing BLAS calls to one or more NVIDIA GPUs as well as CPUs in the system through the cuBLAS-XT interface.
Researchers and scientists use cuBLAS for developing gpu-accelerated algorithms in areas including high performance computing, image analysis and machine learning.
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