| contributor author | Negrut, Dan | |
| contributor author | Serban, Radu | |
| contributor author | Mazhar, Hammad | |
| contributor author | Heyn, Toby | |
| date accessioned | 2017-05-09T01:06:00Z | |
| date available | 2017-05-09T01:06:00Z | |
| date issued | 2014 | |
| identifier issn | 1555-1415 | |
| identifier other | cnd_009_04_041007.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/154200 | |
| description abstract | This paper addresses three questions related to the use of parallel computing in multibody dynamics (MBD) simulation. The “why parallel computing?†question is answered based on the argument that in the upcoming decade parallel computing represents the main source of speed improvement in MBD simulation. The answer to “when is it relevant?†is built around the observation that MBD software users are increasingly interested in multiphysics problems that cross disciplinary boundaries and lead to large sets of equations. The “how?†question is addressed by providing an overview of the state of the art in parallel computing. Emphasis is placed on parallelization approaches and support tools specific to MBD simulation. Three MBD applications are presented where parallel computing has been used to increase problem size and/or reduce time to solution. The paper concludes with a summary of best practices relevant when mapping MBD solutions onto parallel computing hardware. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Parallel Computing in Multibody System Dynamics: Why, When, and How | |
| type | Journal Paper | |
| journal volume | 9 | |
| journal issue | 4 | |
| journal title | Journal of Computational and Nonlinear Dynamics | |
| identifier doi | 10.1115/1.4027313 | |
| journal fristpage | 41007 | |
| journal lastpage | 41007 | |
| identifier eissn | 1555-1423 | |
| tree | Journal of Computational and Nonlinear Dynamics:;2014:;volume( 009 ):;issue: 004 | |
| contenttype | Fulltext | |
