cuBLAS

The NVIDIA H100 Tensor Core GPU, based on the NVIDIA Hopper architecture with the fourth generation of NVIDIA Tensor Cores, recently debuted delivering...

Update May 21, 2018: CUTLASS 1.0 is now available as Open Source software at the CUTLASS repository. CUTLASS 1.0 has changed substantially from our preview...

[caption id="attachment_7875" align="alignright" width="200"] Figure 1: CUDA 9 provides a preview API for programming Tesla V100 Tensor Cores, providing a huge...

There’s a new computational workhorse in town. For decades, general matrix-matrix multiply—known as GEMM in Basic Linear Algebra Subroutines (BLAS)...

Speech recognition is an established technology, but it tends to fail when we need it the most, such as in noisy or crowded environments, or when the speaker is...

cuBLAS is an implementation of the BLAS library that leverages the teraflops of performance provided by NVIDIA GPUs.  However, cuBLAS can not be used as a...

[caption id="attachment_8972" align="alignright" width="242"] CUDA Fortran for Scientists and Engineers shows how high-performance application developers can...

For even more ways to SAXPY using the latest NVIDIA HPC SDK with standard language parallelism, see N Ways to SAXPY: Demonstrating the Breadth of GPU...

Fresh from the NVIDIA Numeric Libraries Team, a white paper illustrating the use of the CUSPARSE and CUBLAS libraries to achieve a 2x speedup of incomplete-LU-...