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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Detalles Bibliográficos
Publicado en:	Computer (00189162) Vol. 47; no. 9; pp. 34 - 40
Autores principales:	Frascarelli, Daniel, Nesmachnow, Sergio, Tancredi, Gonzalo
Formato:	Artículo
Publicado:	IEEE Sep2014
Materias:	Small solar system bodies Algorithm research Scientific computing Gravity Nuclear particle research
Acceso en línea:	Ver este registro en EBSCOhost

Descripción
Sumario:	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.