Abstract: With the rising demand for the performance of sparse matrix-vector multiplication (SpMV) in various fields, traditional optimization approaches for SpMV computation, which are designed ...

Abstract: Sparse Matrix-Vector Multiplication (SpMV) is an essential sparse operation in scientific computing and artificial intelligence. Efficiently adapting SpMV algorithms to diverse matrices and ...

This repository contains the artifact for the SC '25 paper submission "KAMI: Communication-Avoiding General Matrix Multiplication within a Single GPU." The NVIDIA GH200 is installed with Ubuntu 22.04 ...

A novel stacked memristor architecture performs Euclidean distance calculations directly within memory, enabling ...

AMD researchers argue that, while algorithms like the Ozaki scheme merit investigation, they're still not ready for prime ...

Given the rapidly evolving landscape of Artificial Intelligence, one of the biggest hurdles tech leaders often come across is ...

Silicon photonics is the study of the optical properties of the group-IV semiconductor and the design and fabrication of devices for generating, manipulating and detecting light. Silicon is prevalent ...

Multiplication is working out how many groups of something you have altogether. Division is working how many you get, after sharing a number between another number. You can use place value charts to ...