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 ...
Abstract: For sparse array design, degrees of freedom (DOFs) and mutual coupling (MC) are two essential metrics to be taken into account, and high DOFs and low MC are favorable to generating better ...
This repository supplements the paper "Fast Single-Snapshot Harmonic Recovery with 2D Sparse Arrays using BCCB Matrices". We implement computationally efficient versions of the ISTA, FISTA, and ADMM ...
An image of the core region of Messier 87, home to a supermassive black hole, processed from a sparse array of radio telescopes known as the Event Horizon Telescope. (Image credit: Event Horizon ...
Modelithics, the leading independent provider of accurate RF/microwave models for multiple electronic design automation (EDA) simulation software tools, is pleased to launch the NEW Modelithics ...
You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.
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