IEEE

Accelerating Sparse Matrix-Matrix Multiplication by Adaptive Batching Strategy on MGPUSim

Abstract: Sparse Matrix-Matrix Multiplication (SpMM) is a widely used algorithm in Machine Learning, particularly in the increasingly popular Graph Neural Networks (GNNs). SpMM is an essential ...
EurekAlert!

Cloud-based GWAS platform: An innovative solution for efficient acquisition and analysis of genomic data

The diagram illustrates a framework for cloud-based GWAS data resources, structured in a hub-and-spoke architecture with "Cloud-Based GWAS Data Resources" at its core—interconnected with six ...
HotHardware

ASUS ROG Matrix GeForce RTX 5090 Rocks Quad Fans And A Funktastic Design

You have to hand it to ASUS and its Republic of Gamers (ROG) division, it's not afraid to experiment with bold GPU designs. Following the launch of gold-themed Dhahab Edition graphics cards paying ...
Scientific Research Publishing

Gibbs, N.E., Poole, Jr., W.G. and Stockmeyer, P.K. (1976) An Algorithm for Reducing the Bandwidth and Profile of a Sparse Matrix. SIAM Journal on Numerical Analysis, 13, 236-250.

ABSTRACT: Node renumbering is an important step in the solution of sparse systems of equations. It aims to reduce the bandwidth and profile of the matrix. This allows for the speeding up of the ...
GitHub

README.md

Summary: Implemented a 2D convolution algorithm with tiling optimization using CUDA. Divided the input matrix into tiles and leveraged shared memory to minimize global memory accesses, ensuring ...