NVIDIA’s CUDA is a general purpose parallel computing platform and programming model that accelerates deep learning and other compute-intensive apps by taking advantage of the parallel processing ...

Programmers have been interested in leveraging the highly parallel processing power of video cards to speed up applications that are not graphic in nature for a long time. Here, I explain how to do ...

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 ...

Emulation is not just the sincerest form of flattery. It is also how you jump start the adoption of a new compute engine or move an entire software stack from one platform to another with a different ...

Support for unified memory across CPUs and GPUs in accelerated computing systems is the final piece of a programming puzzle that we have been assembling for about ten years now. Unified memory has a ...

Nvidia (NVDA) has launched CUDA 13.1 and CUDA Tile, which the Jensen Huang-led company said is the most substantial advancement to the platform since its release about 20 years ago. "This exciting ...

Nvidia Corporation has launched its largest CUDA update in two decades, signaling a strategic response to open-source competition from Triton. The NVDA update introduces a tile-based programming model ...

Nvidia may be best-known for its GPUs, but the company's CUDA software architecture is the driving force behind the company's dominance. By offering a comprehensive ecosystem across hardware and ...