Scalability of fixed-radius searching in meshless methods for heterogeneous architectures
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Summary
This work investigates the Scalability of Fixed-Radius Searching in Meshless Methods for Heterogeneous Architectures and finds that it can be scalable to meshless methods.
- Type
- dissertation
- Published
- 2014-12-01
- Cited by
- 0
- References
- 65
- Access
- Open access
- OpenAlex
- https://openalex.org/W78045735
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:59661195
Keywords
Scalability, Computer science, RADIUS, Computational science, Database
References
- H‐p clouds—an h‐p meshless method
- High strain Lagrangian hydrodynamics: a three-dimensional SPH code for dynamic material response
- Algorithms for Reporting and Counting Geometric Intersections
- Meshless methods: A review and computer implementation aspects
- The Complexity of Finding Fixed-Radius Near Neighbors
- The Phenomena of Rupture and Flow in Solids
- VoR-tree
- Yielding of steel sheets containing slits
- Parallel construction of multidimensional binary search trees
- Closest-point problems
- Reformulation of Elasticity Theory for Discontinuities and Long-Range Forces
- Numerical simulations of fast crack growth in brittle solids
- Interactive visibility ordering and transparency computations among geometric primitives in complex environments
- Fixed-Radius Near Neighbors Search
- Physics-based modeling of brittle fracture: Cohesive formulations and the application of meshfree methods
- Sorting and searching
- The extendible cell method for closest point problems
- Searching in metric spaces
- Real-time rough refraction
- hp-Meshless cloud method
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