This is an adapted version of one delivered internally at NVIDIA - its primary audience is those who are familiar with CUDA C/C++ programming, but perhaps less so with Python and its ecosystem. That ...

CPU and GPU Parallel computing has gained a lot of interest to improve the speed of program or application execution. This is fundamentally important when real-time computing is required. The ...

When: Monday, Nov. 17, 2008, 8:30 a.m. – 5:00 p.m. Last year's CUDA tutorial at the SC07 conference was a standing-room only event so NVIDIA is pleased to announce that members of its CUDA engineering ...

Quick background- I have a subsurface fluid flow simulation tool that I wrote several years ago. From it, I started up a consultancy company, which is finally paying the bills. The algorithms lend ...

CUDA and Tensor Cores are some of the most prominent specs on an NVIDIA GPU. These cores are the fundamental computational blocks that allow a GPU to perform a bunch of tasks such as video rendering, ...

NVIDIA has announced details of its second annual CUDA tutorial session at the Supercomputing conference. This year, NVIDIA has called in support from the academic and commercial world. John Stone and ...

Over at Dr. Dobbs, Rob Farber writes that, when used correctly, atomic operations can help implement a wide range of generic data structures and algorithms in the massively threaded GPU programming ...

What just happened? Since its introduction in 2006, CUDA has been a proprietary technology running exclusively on Nvidia's own GPU hardware. Now, the GeForce maker appears ready to open CUDA to at ...