A team of researchers developed “parallel optical matrix-matrix multiplication” (POMMM), which could revolutionize tensor ...

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, ...

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 ...

Abstract: We investigate the performance of algorithms for sparse tensor-sparse tensor multiplication (SpGETT). This operation, also called sparse tensor contraction, is a higher order analogue of the ...

Last year, I wrote about the massive energy costs of AI and General Purpose Transformers like ChatGPT. The AI capabilities are amazing, but the energy and environmental cost is concerning. To ...

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 ...

Artificial intelligence (AI) and machine learning tools have proved to be highly effective in tackling various tasks that entail analyzing data and making accurate predictions. Despite their ...

This time, groundbreaking news came from China in the world of science and technology. China has developed the world’s first carbon nanotube-based tensor processor chip (TPU). The team led by Peng ...