Nvidia has unveiled a new compiler source code to add new languages to its parallel programming and boost the adoption of GPUs.

NVIDIA first released its CUDA programming technology in 2007, providing software developers a programming environment based on the industry-standard C language for easy creation of applications ...

In a nutshell, NVIDIA's CUDA architecture provides developers with a way to efficiently program NVIDIA GPUs using a very easy-to-read, C-like syntax.

News Nvidia CUDA Helps Bring Parallel Programming to the Classroom By David Nagel November 26, 2007 Nvidia has released a public beta of CUDA 1.1, an update to the company's C-compiler and software ...

PGI Accelerator compilers are currently available for C99 and Fortran 95/2003. CUDA Fortran, a Fortran 95/2003 analog to NVIDIA CUDA C, was developed by PGI in cooperation with NVIDIA in 2009. CUDA ...

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 ...

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 ...

"CUDA C++ is just one of the ways you can create massively parallel applications with CUDA. It lets you use the powerful C++ programming language to develop high performance algorithms accelerated by ...

In this video from the University of Houston CACDS HPC Workshop, Michael Wolfe from PGI presents: OpenACC Interoperability with CUDA C and Fortran. Developed by PGI, Cray, and NVIDIA, the OpenACC ...

Nvidia has released a Mac OS X version of its CUDA programming tools. Nvidia’s CUDA tools help developers utilize the GPUs on newer Nvidia graphics hardware as parallel processing engines. CUDA ...