Enables TF32/BF16 Tensor Core fast paths in PyTorch via safe auto-detection, with auditable, reversible flag application and reproducible benchmarks. A reproducible performance protocol packaged as ...

Abstract: Since 2017, NVIDIA GPUs have been equipped with specialized units known as Tensor Cores, which demonstrate remarkable efficiency in processing matrix multiplications (GEMMs). Beyond GEMMs, ...

As large language model (LLM) inference demands ever-greater resources, there is a rapid growing trend of using low-bit weights to shrink memory usage and boost inference efficiency. However, these ...

PythoC lets you use Python as a C code generator, but with more features and flexibility than Cython provides. Here’s a first look at the new C code generator for Python. Python and C share more than ...

This repository provides accurate tensor core models written in MATLAB. It also includes parts of the model validation data which is used to refine the models as shown in [1]. The initial analysis of ...

With vapor-chamber cooling, ray-tracing, tensor cores and a high-refresh screen, the iPhone 17 Pro sounds like a premium gaming PC, but I'll stick with my trusty old Steam Deck, thanks ...

The Pixel 10 series is powered by the Tensor G5, Google’s biggest upgrade to its custom silicon. Google touts deeper customization, starting with how it’s manufactured by TSMC on the latest 3nm ...

Google has just announced the Pixel 10 series, and all four phones are powered by the Tensor G5 processor. Tensor chips have traditionally enabled a variety of great Pixel-only features, but have also ...

CUDA and Tensor Cores are some of the most prominent specs on an NVIDIA GPU. These cores are the fundamental computational blocks that allow a GPU to perform a bunch of tasks such as video rendering, ...

Python libraries are pre-written collections of code designed to simplify programming by providing ready-made functions for specific tasks. They eliminate the need to write repetitive code and cover ...