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 ...

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 ...

This course focuses on developing and optimizing applications software on massively parallel graphics processing units (GPUs). Such processing units routinely come with hundreds to thousands of cores ...

At its most basic level, Compute Unified Architecture (CUDA) allows general-purpose processing and other tasks to run on NVIDIA GPUs with extensive language support. Since its inception, CUDA has been ...

Nvidia's CEO, Jen-Hsun Huang, has slammed Intel's unreleased OneAPI software programming approach. During the company's Q2 2019 earning's call, Huang explained that he doesn't "really know how one ...

As of June 2015, the second fastest computer in the world, as measured by the Top500 list employed NVIDIA® GPUs. Of those systems on the same list that use accelerators 60% use NVIDIA GPUs. The ...

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 ...