Modern game engines have a lot going on. With so many different subsystems competing for resources, multi-threading is a way of life. As multi-core CPUs have gotten cheaper and cheaper, game ...

In September 2026, a quiet yet definitive tectonic shift occurred in the world of GPU programming. NVIDIA announced a groundbreaking toolchain that allows GPU kernels to be written directly in Rust ...

NVIDIA introduces CUDA Rust with SIMT and Tile tracks, enabling native GPU programming in Rust. Early-stage but pivotal for Rust ecosystem growth.

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 ...

CUDA is a parallel computing programming model for Nvidia GPUs. With the proliferation over the past decade of GPU usage for speeding up applications across HPC, AI and beyond, the ready availability ...

CUDA 13.4 introduces Windows on Arm support, Rubin GPU preview, advanced GPU management, and expanded Pythonic APIs, bolstering NVIDIA's AI and ...

Graphics processing units from Nvidia are too hard to program, including with Nvidia’s own programming tool, CUDA, according to artificial intelligence research firm OpenAI. The San Francisco-based AI ...

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 ...

Graphics processing units (GPUs) were originally designed to perform the highly parallel computations required for graphics rendering. But over the last couple of years, they’ve proven to be powerful ...

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 ...