Abstract: Matrix multiplication computation (MMC) is a fundamental operation with various applications, including linear regression, k-nearest neighbor classification and biometric identification.

The idea isn't novel, but presents major challenges. Tensordyne thinks it has solved them, and promises massive speed and ...

This code accompanies the blog post Matrix Multiplication Faster Than Nvidia, Sometimes. It provides a CUDA kernel for single-precision matrix-matrix multiplication, with two notable features: use of ...

This repository contains the CUDA kernels for general matrix-matrix multiplication (GEMM) and the corresponding performance analysis. The correctness of the CUDA kernels is guaranteed for any matrix ...

Abstract: Matrix multiplication is a crucial operation in many data-intensive workloads. Given the large size of matrices in today's workloads, it is common to split the computation into tasks ...

The inspiration for this column comes not from the epic 1999 film The Matrix, as the title may suggest, but from an episode of Sean Carroll’s Mindscape podcast that I listened to over the summer. The ...

By institutionalising muhūrta s within mathematics, the UGC is effectively telling students that astrological determinism is ...

In cellular automata, simple rules create elaborate structures. Now researchers can start with the structures and ...

This week at the AI Infra Summit, the RISC-V chip designer revealed its second generation of Intelligence cores, including ...

Learn the 3 times table and its division facts with the resources below. You can take a quiz, practise mental arithmetic and learn a 3 times table song. Need to practise your 5 times table? Then look ...

Generative AI has come a long way in helping us write emails, summarize documents, and even generate code. But it still has a bad habit we can't ignore — hallucinations. Whether it's making up ...