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, ...

Google’s in-house Tensor chips have steadily improved over the years to become a reliable daily driver with solid battery efficiency. Still, performance has often been a sticking point. While previous ...

Hi, thanks for your great work on Transformer Engine! I am working on a project that requires high-performance batched matrix multiplication (i.e., 3D tensor multiplication) where all inputs are ...

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Parallel computing continues to advance, addressing the demands of high-performance tasks such as deep learning, scientific simulations, and data-intensive computations. A fundamental operation within ...

Google’s Tensor chips in Pixel phones have been getting better every year, but they still tend to run warmer than the competition. According to Google’s own data, overheating issues with Tensor have ...

The leaks about Google’s Pixel chip roadmap continue with the core configurations, as well as other specs, for the Tensor G5 and G6 emerging today. According to Android Authority, the Tensor G5’s CPU ...

There are central processing units (CPUs), graphics processing units (GPUs) and even data processing units (DPUs) – all of which are well-known and commonplace now. GPUs in particular have seen a ...

Since homomorphic encryption enables SIMD operations by packing multiple values into a vector of operations and enabling pairwise addition or multiplication operations, one (old) conventional method ...

Researchers claim to have developed a new way to run AI language models more efficiently by eliminating matrix multiplication from the process. This fundamentally redesigns neural network operations ...