Nvidia's stock recovers after an initial dip as rival AMD announces a major AI chip deal with OpenAI. Explore the market ...

In the new round of the AI computing power battle, the Arm architecture is driving innovation in cloud computing and edge computing with its strong technical strength and support from ecosystem ...

Managing guest communication for hotel groups is tough. The bigger the brand, the more complicated it can get.

The simplest way to think about SCAN is that it applies a custom calculation to each element in a range/array and returns every intermediate result it produces along the way. If that sounds abstract, ...

The MAP function is part of Excel's dynamic array functions and requires Excel 365 or Excel 2021 or later to work. If you're ...

The Uttarakhand Board has released the Class 12 Maths Syllabus 2025-26. The exam will be conducted for 3 hours with a total ...

Mind you, at the moment it's just a rumor, of course, but the mere idea that a competitor is considering entrusting Intel ...

Abstract: We propose an efficient quantum subroutine for matrix multiplication that computes a state vector encoding the entries of the product of two matrices in superposition. The subroutine ...

Abstract: Half-precision matrix multiply has played a key role in the training of deep learning models. The newly designed Nvidia Tensor Cores offer the native instructions for half-precision small ...

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 ...

Sparse general matrix-matrix multiplication (SpGEMM) is fundamental to numerous scientific applications. Traditional hash-based approaches fail to strike a trade-off between reducing hash collisions ...