dc.creator | Löhner, Rainald | |
dc.creator | Perazzo, Franco | |
dc.date | 2017-11 | |
dc.date | 2017 | |
dc.date | 2020-05-04T12:51:07Z | |
dc.date.accessioned | 2023-07-14T19:35:55Z | |
dc.date.available | 2023-07-14T19:35:55Z | |
dc.identifier | http://sedici.unlp.edu.ar/handle/10915/94727 | |
dc.identifier | https://cimec.org.ar/ojs/index.php/mc/article/view/5276 | |
dc.identifier | issn:2591-3522 | |
dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/7435937 | |
dc.description | 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. | |
dc.description | Publicado en: <i>Mecánica Computacional</i> vol. XXXV, no. 10. | |
dc.description | Facultad de Ingeniería | |
dc.format | application/pdf | |
dc.format | 455-466 | |
dc.language | en | |
dc.rights | http://creativecommons.org/licenses/by-nc-sa/4.0/ | |
dc.rights | Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) | |
dc.subject | Ingeniería | |
dc.subject | Discrete Element Method | |
dc.subject | Spatial Search Algorithms | |
dc.subject | Bins | |
dc.subject | Contact Algorithm | |
dc.title | Improvements in speed and scalability of a DEM code | |
dc.type | Objeto de conferencia | |
dc.type | Objeto de conferencia | |