ParallelStencil.jl

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References ​

Citing ParallelStencil ​

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

bibtex
@article{OmlinRaess2024,
  title   = {High-performance xPU Stencil Computations in Julia},
  author  = {Omlin, Samuel and Räss, Ludovic},
  journal = {JuliaCon Proceedings},
  volume  = {6},
  number  = {64},
  pages   = {138},
  year    = {2024},
  doi     = {10.21105/jcon.00138},
}

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

  4. 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).

  5. L. Räss, G. Reuber and S. Omlin. Multi-Physics 3-D Inversion on GPU Supercomputers with Julia. JuliaCon Conference, virtual (2020).

  6. 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).

  7. 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).

  8. J. D. McCalpin. Memory Bandwidth and Machine Balance in Current High Performance Computers. IEEE Computer Society Technical Committee on Computer Architecture (TCCA) Newsletter, 19–25 (1995).

  9. L. Räss, T. Duretz and Y. Y. Podladchikov. Resolving hydromechanical coupling in two and three dimensions: spontaneous channelling of porous fluids owing to de-compaction weakening. Geophysical Journal International 218, 1591–1616 (2019).