News
NVIDIA Contributes CUDA Compiler to Open Source Community
NVIDIA today announced that LLVM, one of the industry's most popular open source compilers, now supports NVIDIA GPUs, dramatically expanding the range of researchers, independent software vendors (ISVs) and programming languages that can take advantage of the benefits of GPU acceleration.
Four New CUDA Fellows Announced
Today, we added four outstanding research and academic leaders to the CUDA Fellows Program, which recognizes individuals committed to championing the adoption and use of the CUDA architecture and GPU computing.
INCITE Call for Proposals
Accelerate your science on the Titan Supercomputer later this year, by harnessing up to 20 petaflops of parallel processing using GPUs.
11th Annual Graduate Fellowship Awards Announced
12 grants of $25,000 each were made to top Ph.D. students selected from hundreds of applications from three dozen countries. The students are using GPUs to confront a variety of technical challenges, including compiler techniques and optimizations, heterogenous computing, formal verification and symbolic analysis, visual sonification and molecular dynamics.
New Parallel Programming Blog - Parallel Foral
Welcome to Parallel Forall, NVIDIA’s developer blog focused on providing detailed technical information on a variety of GPU computing programming topics, including CUDA C/C++, OpenACC, GPU-accelerated libraries, GPU programming techniques, and much more.