Improvements in speed and scalability of a DEM code

A number of near-optimal techniques were implemented to reduce computing times for the Discrete Element Method (DEM) code named DESOL. Among these, the following showed the largest improvements: multilevel bins, periodic rebuild, trimming and Symmetric Multiprocessor (SMP) parallelization. These imp...

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Detalles Bibliográficos
Autores principales: Löhner, Rainald, Perazzo, Franco
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2017
Materias:
Ingeniería
Discrete Element Method
Spatial Search Algorithms
Bins
Contact Algorithm
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/94727
https://cimec.org.ar/ojs/index.php/mc/article/view/5276
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
Descripción
Sumario:A number of near-optimal techniques were implemented to reduce computing times for the Discrete Element Method (DEM) code named DESOL. Among these, the following showed the largest improvements: multilevel bins, periodic rebuild, trimming and Symmetric Multiprocessor (SMP) parallelization. These improvements have led to Central Processing Unit (CPU) reduction of the order of 1:3-1:5 on scalar machines, while also showing excellent scalability up to the point of memory saturation, which on current Intel Xeon processors occurs at approximately 8 cores for double precision and 16 cores for single precision.

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