NVIDIA CUDA Tile introduces 'tile-based parallel programming' and it's being described as a major update to the CUDA platform, which powers a lot of AI.

Calling it the largest advancement since the NVIDIA CUDA platform was inroduced in 2006, NVIDIA has launched CUDA 13.1 with ...

Nvidia (NVDA) has launched CUDA 13.1 and CUDA Tile, which the Jensen Huang-led company said is the most substantial ...

Programming model moves from managing thousands of low-level threads to working with high-level ‘tiles of data’ ...

Software teams at Google and other Rust adopters see safer code when using the memory-safe language, and also fewer rollbacks ...

Overview: C and C++ remain the most important languages for fast, low-memory embedded devices. Newer languages like Rust and ...

The cost analysis shows that arm64 delivers 30% lower compute costs on average compared to x86. For memory-heavy workloads, cost savings reached up to 42%, particularly for Node.js and Rust. Light ...

“Lemurian is reframing the grim choice that AI’s hardware-software interface has forced on users: choosing between vendor-locked vertical stacks or brittle, rewrite-prone portability,” said Pebblebed ...

TypeScript 7.0, which implements the language service and compiler in Go, promises to improve performance, memory usage, and ...

Interactive Python modes are an easy way to learn new libraries. Scripting languages are easy to learn on their own because ...

Spreadsheets are still useful, but if you do a lot of work with numbers, you'll realize that they have limitations.

K machine promises performance that can scale to 32 chip servers and beyond but immature stack makes harnessing compute ...