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Parallelization of the Finite Element-Based Mesh Warping Algorithm Using Hybrid Parallel Programming
DescriptionWarping large volume meshes is computationally expensive and has applications to biomechanics, aerodynamics, image processing, and cardiology. Existing parallel implementations of mesh warping algorithms do not take advantage of shared-memory and one-sided communication features available in MPI-3. In this poster, we describe our parallelization of the finite element-based mesh warping algorithm for tetrahedral meshes. Our implementation takes advantage of shared memory and one-sided communication and deforms a mesh by solving a linear system with multiple right-hand sides based on the solution of a Poisson boundary value problem. Our results demonstrate excellent efficiency and strong scalability on up to 32 cores on a single node. Furthermore, we show a 90% increase in speedup with 256 cores distributed uniformly across 64 nodes versus our largest single node speedup while observing sublinear speedups overall.
Event Type
ACM Student Research Competition: Undergraduate Poster
Posters
TimeWednesday, 20 November 20242:30pm - 2:45pm EST
LocationB306
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