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2008

Performance of parallel computations with dynamic processor allocation

11 years 1 months ago
Performance of parallel computations with dynamic processor allocation
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%. Keywords Adaptive mesh refinement (AMR)
Saeed Iqbal, Graham F. Carey
Added 10 Dec 2010
Updated 10 Dec 2010
Type Journal
Year 2008
Where EWC
Authors Saeed Iqbal, Graham F. Carey
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