Researchers from the University of Southern California Information Sciences Institute and the University of Wisconsin-Madison ...

Multiplying the content of two x-y matrices together for screen rendering and AI processing. Matrix multiplication provides a series of fast multiply and add operations in parallel, and it is built ...

TPUs, on the other hand, are specialized in the sense that they only focus on certain processes. You can’t run a computer on ...

TPUv7 offers a viable alternative to the GPU-centric AI stack has already arrived — one with real implications for the economics and architecture of frontier-scale training.

Nexus proposes higher-order attention, refining queries and keys through nested loops to capture complex relationships.

Google is reportedly in talks to sell its tensor processing units – a type of computer chip specially designed for AI – to other tech companies, a move that could unsettle the dominant chip-maker Nvid ...

Artificial intelligence has grown so large and power hungry that even cutting edge data centers strain to keep up, yet a technique borrowed from quantum physics is starting to carve these systems down ...

TensorGlass is a Python-based educational tool that visualizes Matrix Multiplication ($C = A \times B$) as a 3D Tensor Contraction. Unlike standard 2D grid ...

CublasOps is a PyTorch extension library that provides high-performance linear layers for half-precision (FP16) matrix multiplications using NVIDIA's cuBLAS and cuBLASLt libraries. It offers fast and ...

Want to call someone a quick-thinker? The easiest cliché for doing so is calling her a computer – in fact, “computers” was ...