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High-Performance Computing of Self-Gravity for Small Solar System Bodies.

To study the evolution of small solar system 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 numb...

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Published in:Computer (00189162) Vol. 47; no. 9; pp. 34 - 40
Main Authors: Frascarelli, Daniel, Nesmachnow, Sergio, Tancredi, Gonzalo
Format: Article
Published: IEEE Sep2014
Subjects:
Small solar system bodies
Algorithm research
Scientific computing
Gravity
Nuclear particle research
Online Access:View this record in EBSCOhost
Summary:To study the evolution of small solar system 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.