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

There's no beating a plug and socket. Depending on efficiencies inside the wall unit and the onboard charger, plug-and-socket tends to be better than 90 percent energy efficient. But with ...

AI chip startup d-Matrix is pushing into rack scale with the introduction of its JetStream I/O cards, which are designed to allow larger models to be distributed across multiple servers or even racks ...

Vedic Maths is a traditional mathematical system based on the Vedas. It helps you solve complex problems quickly and accurately. These effective tricks include a shortcut approach for addition, ...

A RAID failure has taken the Matrix.org homeserver offline, leaving users of the decentralized messaging service unable to send or receive messages while engineers attempt a 55 TB database restore. To ...

The Matrix Foundation's central server is currently unavailable. According to the operators, the cause is a serious database failure. This is being restored from a complete backup from last night 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 ...