A Toolkit for Parallel Overset Grid Assembly Targeting Large-Scale Moving Body Aerodynamic Simulations

Zagaris, George; Campbell, Michael T.; Bodony, Daniel J.; Shaffer, Eric; Brandyberry, Mark

doi:10.1007/978-3-642-15414-0_23

Cited by 16 publications

(16 citation statements)

References 13 publications

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“…The grids have been termed Structured Auxiliary Meshes (SAM), 15,16 or Virtual Grids, 14 while the cells have been termed Buckets, 14 Vision-Space Bins (VSB), 5 or voxels. 16,17 The hole auxiliary grids are constructed such that they fully encompass the wall boundary faces of their associated near-body mesh (with an added 1% margin to avoid precision-related issues).…”

Section: Iiia Hole Profilingmentioning

confidence: 99%

Robust and Scalable Overset Grid Assembly for Partitioned Unstructured Meshes

Roget

Sitaraman

2013

51st AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition

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This paper presents a method to perform efficient and automated Overset Grid Assembly (OGA) on a system of overlapping unstructured meshes in a parallel computing environment where all meshes are partitioned into multiple mesh-blocks and processed on multiple cores. The main task of the overset grid assembler is to identify, in parallel, among all points in the overlapping mesh system, at which points the flow solution should be computed (field points), interpolated (receptor points), or not computed at all (hole points). Point containment search or donor search, an algorithm to efficiently determine the cell that contains a given point is the core procedure necessary for accomplishing this task. Donor search is particularly challenging for partitioned unstructured meshes because of the complex geometry that is often created at the boundaries of each mesh-block during partitioning. Another challenge arises because of the large variation in the type of mesh-block overlap and the resulting large load imbalance on multiple processors. Desirable traits for the grid assembly method are efficiency (requiring only a small fraction of the solver time), robustness (correct identification of all point types), and full automation (no user input required other than the mesh system). Additionally, the method should be scalable, which is an important challenge due to the inherent load imbalance. In this paper, two fully-automated grid assembly algorithms are described. One is based on the use of auxiliary grids and Exact Inverse Maps (EIM), and the other is based on the use of Alternating Digital Trees (ADT). The EIM method is demonstrated to be more efficient than the ADT method, while retaining robustness. An adaptive load re-balance algorithm is also designed and implemented, which considerably improves the scalability of the method.

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Section: Iiia Hole Profilingmentioning

confidence: 99%

Robust and Scalable Overset Grid Assembly for Partitioned Unstructured Meshes

Roget

Sitaraman

2013

51st AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition

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“…Any communication operation on the moving grids can be described by a dynamic sparse data exchange problem (see Hoefler et al [20]). A number of sparse communication protocols have been described and implemented in many parallel domain connectivity packages [21,7,9,22,23,24,25]. These protocols typically run in two distinct phases.…”

Section: Introductionmentioning

confidence: 99%

Enhancing performance and scalability of data transfer across sliding grid interfaces for time-accurate unsteady simulations of multistage turbomachinery flows

2015

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“…The first class refers to the overset grid technique [7,[9][10][11][12] in which mesh movements can be modeled independently for the involved boundary that is supposed to be moved. The meshes of different moving parts overlap with each other to form the complete overset grid system.…”

Section: Introductionmentioning

confidence: 99%

“…This technique, applied in both structured [10,11] and unstructured [7] grids, alleviates the complexity of mesh generation and improves the mesh quality of local domains. However, it adds the difficulty of the mesh preprocessing work [7,9,11,13] in which the interpolated information of each pair of overlapped meshblock needs to be determined from each one. An alternative category, termed as deforming mesh technique, is about using single, consistent mesh and deforming it to conform the new geometric shape without changing the connectivity of the whole computational mesh.…”

Section: Introductionmentioning

confidence: 99%

“…And the flow fluid simulations based on the traditional parallel techniques, such as MPI (message passing interface) [21] and OpenMP [22], have been studied in [3,4,6,9,11]. Since Nvidia's CUDA (Compute Unified Device Architecture) [23] was 2 Scientific Programming published in 2007, GPU computing has attracted more and more attention due to its high memory bandwidth and lightweighted threads of parallelism.…”

Section: Introductionmentioning

confidence: 99%

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Parallelization of an Unsteady ALE Solver with Deforming Mesh Using OpenACC

Yuan

et al. 2017

Scientific Programming

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This paper presents a parallel, GPU-based, deforming mesh-enabled unsteady numerical solver for solving moving body problems by using OpenACC. Both the 2D and 3D parallel algorithms based on spring-like deforming mesh methods are proposed and then implemented through OpenACC programming model. Furthermore, these algorithms are coupled with an unstructured mesh based, implicit time scheme integrated numerical solver, which makes the full GPU version of the solver capable of handling unsteady calculations with deforming mesh. Experiments results show that the proposed parallel deforming mesh algorithm can achieve over 2.5x speedup on K20 GPU card in comparison with 20 OpenMP threads on Intel E5-2658 V2 CPU cores. And both 2D and 3D cases are conducted to validate the efficiency, correctness, and accuracy of the present solver.

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A Toolkit for Parallel Overset Grid Assembly Targeting Large-Scale Moving Body Aerodynamic Simulations

Cited by 16 publications

References 13 publications

Robust and Scalable Overset Grid Assembly for Partitioned Unstructured Meshes

Robust and Scalable Overset Grid Assembly for Partitioned Unstructured Meshes

Enhancing performance and scalability of data transfer across sliding grid interfaces for time-accurate unsteady simulations of multistage turbomachinery flows

Parallelization of an Unsteady ALE Solver with Deforming Mesh Using OpenACC

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