ImplicitGlobalGrid.jl

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References ​

Citing ImplicitGlobalGrid ​

If you use ImplicitGlobalGrid in your work, please cite [3]:

bibtex
@article{OmlinRaessUtkin2024,
  title   = {Distributed Parallelization of xPU Stencil Computations in Julia},
  author  = {Omlin, Samuel and Räss, Ludovic and Utkin, Ivan},
  journal = {JuliaCon Proceedings},
  volume  = {6},
  number  = {65},
  pages   = {137},
  year    = {2024},
  doi     = {10.21105/jcon.00137},
}

Bibliography ​

  1. T. Besard, C. Foket and B. De Sutter. Effective Extensible Programming: Unleashing Julia on GPUs. IEEE Transactions on Parallel and Distributed Systems 30, 827–841 (2019).

  2. T. Besard, V. Churavy, A. Edelman and B. De Sutter. Rapid software prototyping for heterogeneous and distributed platforms. Advances in Engineering Software 132, 29–46 (2019).

  3. S. Omlin, L. Räss and I. Utkin. Distributed Parallelization of xPU Stencil Computations in Julia. JuliaCon Proceedings 6, 137 (2024).

  4. L. Räss, S. Omlin and Y. Y. Podladchikov. Porting a Massively Parallel Multi-GPU Application to Julia: a 3-D Nonlinear Multi-Physics Flow Solver. JuliaCon Conference, Baltimore, USA (2019).

  5. L. Räss, S. Omlin and Y. Y. Podladchikov. A Nonlinear Multi-Physics 3-D Solver: From CUDA C + MPI to Julia. PASC19 Conference, Zurich, Switzerland (2019).

  6. S. Omlin, L. Räss, G. Kwasniewski, B. Malvoisin and Y. Y. Podladchikov. Solving Nonlinear Multi-Physics on GPU Supercomputers with Julia. JuliaCon Conference, virtual (2020).

  7. S. Omlin and L. Räss. High-performance xPU Stencil Computations in Julia. JuliaCon Proceedings 6, 138 (2024).

  8. L. Räss, S. Omlin and Y. Y. Podladchikov. Resolving Spontaneous Nonlinear Multi-Physics Flow Localisation in 3-D: Tackling Hardware Limit. GPU Technology Conference 2019, San Jose, Silicon Valley, CA, USA (2019).