Abstract
In parallel adaptive mesh refinement (AMR) computations the problem size can vary significantly during a simulation. The goal here is to explore the performance implications of dynamically varying the number of processors proportional to the problem size during simulation. An emulator has been developed to assess the effects of this approach on parallel communication, parallel runtime and resource consumption. The computation and communication models used in the emulator are described in detail. Results using the emulator with different AMR strategies are described for a test case. Results show for the test case, varying the number of processors, on average, reduces the total parallel communications overhead from 16 to 19% and improves parallel runtime time from 4 to 8%. These results also show that on average resource utilization improves more than 37%.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
