TL;DR: NVIDIA CUDA 13.1 introduces the largest update in two decades, featuring CUDA Tile programming to simplify AI development on Blackwell GPUs. By abstracting tensor core operations and automating ...

Nvidia has updated its CUDA software platform, adding a programming model designed to simplify GPU management. Added in what the chip giant claims is its “biggest evolution” since its debut back in ...

An HR advisor with a background in recruitment and HRIS functions, with a passion for video games and writing. Oliver grew up playing Call of Duty with his siblings and has garnered 1000s of hours ...

Bring deep expertise in hardware design, parallel computing and video solutions. Email: umanulua@gmail.com More than 10 years have passed since I wrote my last post on the topic of developing an H.264 ...

Usama has a passion for video games and a talent for capturing their magic in writing. He brings games to life with his words, and he's been fascinated by games for as long as he's had a joystick in ...

The Quick Settings panel on Android is an underrated powerhouse, often forgotten by most Android users. While a lot is said about the iPhone’s Control Center, if you're willing to put in some work, ...

If you drive a car built since 2018, a rearview camera came standard, but they actually started popping up as options on cars more than a decade before that. And while many early examples were ...

Just this past school year, I attended a meeting with my department administrator, reviewing teacher observation data. The numbers didn’t lie—but they didn’t tell the full story. Despite our best ...

CUDA enables faster AI processing by allowing simultaneous calculations, giving Nvidia a market lead. Nvidia's CUDA platform is the foundation of many GPU-accelerated applications, attracting ...

University project of the Parallel Computing course. There are two challenges that are solved using parallel computing techniques and two famous frameworks: OpenMP and CUDA.

Computational power has become a critical factor in pushing the boundaries of what’s possible in machine learning. As models grow more complex and datasets expand exponentially, traditional CPU-based ...