AMD and Intel have now published a full technical specification for ACE — AI Compute Extensions — the most significant overhaul to x86 AI compute in the architecture's history, co-authored by eight ...

The tiling algorithm for matrix multiplication is a technique that illustrates how to leverage the memory hierarchy to speed up memory-bound operations. At a high level the idea is simple: move blocks ...

nvmath-python brings the power of the NVIDIA math libraries to the Python ecosystem. The package aims to provide intuitive pythonic APIs giving users full access to all features offered by NVIDIA's ...

Multiplication in Python may seem simple at first—just use the * operator—but it actually covers far more than just numbers. You can use * to multiply integers and floats, repeat strings and lists, or ...

Abstract: Numerical libraries derive performance from highly specialized code – known as kernels/microkernels – written by experts. Reliance on a small group of experts poses challenges to the ...

Optical neural networks (ONNs) promise computing efficiency beyond microelectronics for modern artificial intelligence (AI). Current ONNs using analog matrix-vector multiplication (MVM) ...

A handy open source tool for packaging up LLMs into single universal chatbot executables that are easy to distribute and run has apparently had a 30 to 500 percent CPU performance boost on x86 and Arm ...

They had to throw away most of what it produced but there was gold among the garbage. Google DeepMind has used a large language model to crack a famous unsolved problem in pure mathematics. In a paper ...

The newly unveiled Mojo language is being promoted as the best of multiple worlds: the ease of use and clear syntax of Python, with the speed and memory safety of Rust. Those are bold claims, and ...