Title :
High-Performance Computing of Self-Gravity for Small Solar System Bodies
Author :
Frascarelli, Daniel ; Nesmachnow, Sergio ; Tancredi, Gonzalo
Author_Institution :
Inst. de Comput., Univ. de la Republica, Montevideo, Uruguay
Abstract :
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.
Keywords :
asteroids; astronomy computing; comets; gravity; parallel processing; asteroids; comets; computational resources; high-performance computing; parallel shared-memory algorithm; self-gravity; solar system bodies; Algorithm design and analysis; Astronomy; Computational efficiency; Computational modeling; Informatics; Instruction sets; Message systems; Parallel algorithms; Planets; Synchronization; astronomy; high-performance computing; numerical simulation; scientific computing; self-gravity; small solar system bodies;
DOI :
10.1109/MC.2014.249
