DEVELOPER BLOG

Tag: CUBLAS

Artificial Intelligence

CUTLASS: Fast Linear Algebra in CUDA C++

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… 25 MIN READ
Accelerated Computing

CUDA 9 Features Revealed: Volta, Cooperative Groups and More

The CUDA 9 release includes support for Volta GPUs, Cooperative Groups programming model extensions, faster libraries, and improved developer tools. 17 MIN READ
Accelerated Computing

Pro Tip: cuBLAS Strided Batched Matrix Multiply

There’s a new computational workhorse in town. For decades, general matrix-matrix multiply—known as GEMM in Basic Linear Algebra Subroutines (BLAS) libraries… 10 MIN READ
Artificial Intelligence

Deep Speech: Accurate Speech Recognition with GPU-Accelerated Deep Learning

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… 9 MIN READ
HPC

Drop-in Acceleration of GNU Octave

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 direct… 7 MIN READ
Accelerated Computing

CUDA Pro Tip: How to Call Batched cuBLAS routines from CUDA Fortran

When dealing with small arrays and matrices, one method of exposing parallelism on the GPU is to execute the same cuBLAS call on multiple independent systems… 7 MIN READ