Abstract: This paper studies how to accelerate a single channel 2D image convolution using NVIDIA's Tensor Core. Tensor Core is a dedicated arithmetic unit for speeding up matrix products and was ...

An early, limited leak around Google’s upcoming Pixel 11 series offers some limited details around the Tensor G6 chipset inside, with a mix of good news and bad news. Mystic Leaks today posted an ...

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 ...

Just weeks after wrapping up its current lineup with the Pixel 10a, Google may already be testing its new phones. A new Geekbench listing has surfaced, and while nothing is confirmed, it hints at ...

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, ...

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 ...

Core Scientific shareholders on Thursday voted down an all-stock acquisition offer from partner and competitor CoreWeave that was valued at the time at $9 billion. They did so following a vote-no ...

In our Geekbench CPU test, the Tensor G4 didn't perform well and it trailed behind last year's Tensor G3 in multi-core tasks. The 7-core ARM Mali-G715 GPU performance is nearly the same as last year, ...

The Google Tensor G4 on the Pixel 9 phones performs poorly on the Geekbench CPU test, despite packing the latest ARM cores. The older ARM Mali-G715 GPU on the Tensor G4 is also pretty weak, ...

The Nature Index 2025 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...

A reproducible GPU benchmarking lab that compares FP16 vs FP32 training on MNIST using PyTorch, CuPy, and Nsight profiling tools. This project blends performance engineering with cinematic ...

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