MG-FIM: A Multi-GPU Fast Iterative Method Using Adaptive Domain Decomposition

DOI10.1137/21M1414644MaRDI QIDQ5037538

Won-Ki Jeong, Ganghee Jang, Sumin Hong

Publication date: 1 March 2022

Published in: SIAM Journal on Scientific Computing (Search for Journal in Brave)

zbMATH Keywords

viscosity solutionparallel computingload balancingeikonal equationjob schedulingGPU

Mathematics Subject Classification ID

Multigrid methods; domain decomposition for boundary value problems involving PDEs (65N55) Iterative numerical methods for linear systems (65F10) Parallel numerical computation (65Y05) Numerical algorithms for specific classes of architectures (65Y10)

Uses Software

• EikoNet
• PINNeik

Cites Work

• Unnamed Item
• Unnamed Item
• A highly scalable massively parallel fast marching method for the eikonal equation
• Hybrid massively parallel fast sweeping method for static Hamilton-Jacobi equations
• A numerical approach to the infinite horizon problem of deterministic control theory
• Parallel asynchronous label-correcting methods for shortest paths
• Shared-memory block-based fast marching method for hierarchical meshes
• A Fast Iterative Method for Solving the Eikonal Equation on Triangulated Surfaces
• A Fast Iterative Method for Eikonal Equations
• A Parallel Two-Scale Method for Eikonal Equations
• A Viscosity Solutions Approach to Shape-From-Shading
• Implementation of efficient algorithms for globally optimal trajectories
• A fast sweeping method for Eikonal equations
• A fast marching level set method for monotonically advancing fronts.
• An Easily Implemented, Block-Based Fast Marching Method with Superior Sequential and Parallel Performance
• Optimal algorithm for shape from shading and path planning

This page was built for publication: MG-FIM: A Multi-GPU Fast Iterative Method Using Adaptive Domain Decomposition