With CUDA technology becoming a standard in the computing market, the CUDA Developer Conference is a must-attend event for university researchers and commercial software developers.

In this Programming Throwdown podcast, Mark Harris from Nvidia describes Cuda programming for GPUs. "CUDA is a parallel computing platform and programming model invented by NVIDIA. It enables dramatic ...

The guide takes a closer look at the open-source library PyTorch which allows a Python developer to quickly get up-to-speed with the features of CUDA that make it so appealing to researchers and ...

A hands-on introduction to parallel programming and optimizations for 1000+ core GPU processors, their architecture, the CUDA programming model, and performance analysis. Students implement various ...

COMP_SCI 368, 468: Programming Massively Parallel Processors with CUDA VIEW ALL COURSE TIMES AND SESSIONS Prerequisites Completed CS 213 or CS/CE Graduate standing or Consent of Instructor Description ...

Today NVIDIA announced CUDA-X HPC, a collection of libraries, tools, compilers and APIs that helps developers solve the world’s most challenging problems. Similar to CUDA-X AI announced earlier this ...

Developed using NVIDIA CUDA (TM), a C language programming environment for many-core parallel architectures, the CUDA port of the Folding@home client has delivered more processing power than any ...

The breakthrough was achieved by implementing tons of fine-grained optimizations and usage of assembly-like PTX (Parallel Thread Execution) programming instead of Nvidia's CUDA, according to an ...