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- Yoon, Eisung
- Fusion and Plasma Application Research Lab.
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Dynamic Load Balancing of Plasma and Flow Simulations
- Author(s)
- Diamond, Gerrett, Smith, Cameron W., Yoon, Eisung, Shephard, Mark S.
- Issued Date
- 2018-11-12
- Citation
- 9th IEEE/ACM Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, ScalA 2018, pp.73 - 80
- Abstract
-
Extracting performance from simulations with complex information dependencies on massively parallel computers requires the computational work to be evenly distributed across the processing resources while maintaining low communication costs. Plasma simulations using a particle-in-cell method and computational fluid dynamics using unstructured mesh-based finite element and volume methods present three distinct distribution requirements. To meet these needs, we present EnGPar’s diffusive partition improvement method. An initial demonstration of EnGPar’s particle distribution improvement is provided along with fluid dynamics mesh partition improvement results on up
to 512Ki processes on an IBM BlueGene/Q.
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
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