sponsored byACMIEEE The International Conference for High Performance 
Computing, Networking, Storage and Analysis
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SCHEDULE: NOV 15-20, 2015

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Scalable Mesh Generation for HPC Applications

SESSION: Regular & ACM Student Research Competition Poster Reception

EVENT TYPE: Posters, Receptions, ACM Student Research Competition

EVENT TAG(S): HPC Beginner Friendly, Regular Poster

TIME: 5:15PM - 7:00PM

SESSION CHAIR(S): Michela Becchi, Manish Parashar, Dorian C. Arnold

AUTHOR(S):Rajeev Jain, Navamita Ray, Iulian Grindeanu, Danqing Wu, Vijay Mahadevan

ROOM:Level 4 - Lobby


Computational solvers simulating physical phenomena on complex domain geometries need well resolved, high-quality meshes to tackle the discrete problem accurately and efficiently. High fidelity real-world HPC solvers have intricate mesh generation needs, which is accomplished through access to geometry data and scalable algorithms to produce optimal quality unstructured meshes. We provide an overview of the open-source computational workflow enabled through SIGMA toolkit and focus on scalability of parallel mesh generation algorithms implemented in MeshKit library. The algorithmic efficiency in MeshKit is evaluated and component-wise profiling is performed to investigate bottlenecks in the underlying parallel mesh infrastructure (MOAB).

Chair/Author Details:

Michela Becchi, Manish Parashar, Dorian C. Arnold (Chair) - University of Missouri|Rutgers University|University of New Mexico|

Rajeev Jain - Argonne National Laboratory

Navamita Ray - Argonne National Laboratory

Iulian Grindeanu - Argonne National Laboratory

Danqing Wu - Argonne National Laboratory

Vijay Mahadevan - Argonne National Laboratory

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