DEVELOPER BLOG

Tag: accelerated computing

AI / Deep Learning

N Ways to SAXPY: Demonstrating the Breadth of GPU Programming Options

Back in 2012, NVIDIAN Mark Harris wrote Six Ways to Saxpy, demonstrating how to perform the SAXPY operation on a GPU in multiple ways… 9 MIN READ
HPC

Accelerating Python on GPUs with nvc++ and Cython

The C++ standard library contains a rich collection of containers, iterators, and algorithms that can be composed to produce elegant solutions to complex… 11 MIN READ
HPC

Accelerating Standard C++ with GPUs Using stdpar

Historically, accelerating your C++ code with GPUs has not been possible in Standard C++ without using language extensions or additional libraries: CUDA C++… 19 MIN READ
Graphics / Simulation

Introducing NVIDIA Video Codec SDK 10 Presets

All NVIDIA GPUs starting with the Kepler generation support fully accelerated hardware video encoding, and all GPUs starting with the Fermi generation support… 7 MIN READ
AI / Deep Learning

Simplifying HPC Workflows with NVIDIA NGC Container Environment Modules

Many system administrators use environment modules to manage software deployments. The advantages of environment modules are that they allow you to load and… 7 MIN READ
AI / Deep Learning

NVIDIA Developer Blog 2019 Highlights

We published nearly 100 technical blogs this year on the NVIDIA Developer Blog to help developers across a variety of industries develop their GPU-accelerated… 4 MIN READ