Poster Title:  Dynamic Load Balancing Algorithms for E-MPS Method Adopting Polygon Wall Boundary Model
Poster Abstract: 

Our research groups have developed the software system, HDDM_EMPS, to conduct fluid simulations based on a particle method called the Explicit Moving Particle Simulation (EMPS). HDDM_EMPS formerly adopted a wall-particles model to satisfy boundary conditions. Since wall-particles models allocate particles to express boundaries and require more memory space with larger-scale simulations, the research groups replaced it with a polygon-walls model in the fluid-analysis system that sets up polygons instead of particles for boundaries. The latter model has a potential to reduce computational costs by saving memory space, but the system with the model was not well load-balanced. In the former system, ParMETIS was utilized to stabilize load balancing based on the number of particles. However, the number of particles in a polygon-walls model becomes distinct from the one in a wall-particles model. Furthermore, some particles in the polygon-wall model hold a different weighting value due to polygon-walls algorithms, which search the closest particle located at every node of polygon walls. Hence, I have designed load balancing algorithms and demonstrated the efficiency of a polygon-wall boundary model compared to a wall-particles one in the HDDM_EMPS system.

Poster ID:  D-20
Poster File:  PDF document IHPCSS2018_Poster_D20.pdf
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