Google DeepMind has introduced Gemma 4 12B, a new open-weight multimodal model designed to bring agentic intelligence ...

* Program re-ordering for improved L2 cache hit rate. * Automatic performance tuning. # Motivations # Matrix multiplications are a key building block of most modern high-performance computing systems.

There’s finally some good artificial intelligence news for Windows users, and no, it’s not Microsoft forcing Copilot onto them whether they want it or not. Instead, it’s something developers might ...

Computer scientists at UC Berkeley say that AI models show promise as a way to discover and optimize algorithms. In a preprint paper titled "Barbarians at the Gate: How AI is Upending Systems Research ...

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 ...

Abstract: Coded computing is an effective technique to mitigate “stragglers” in large-scale and distributed matrix multiplication. In particular, univariate polynomial codes have been shown to be ...

As transformer models grow in size and complexity, they face significant challenges in terms of computational efficiency and memory usage, particularly when dealing with long sequences. Flash ...

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 ...