Abstract

To study the evolution of small solar sys- tem bodies like asteroids and comets, a fast method is needed to compute the self- gravity of systems composed of millions of particles. A proposed fully parallel shared-memory algorithm for dense, self- gravitating agglomerates scales efficiently with the number of particles as well as the number of computational resources.

Author

Daniel Frascarelli, Sergio Nesmachnow, and Gonzalo Tancredi

Journal

computer (IEEE Computer Society)

Paper Publication Date

2014

Paper Type

Astrostatistics

Paper

Frascarelli14.pdf — 1153 KB