Citing ADAM

If you use ADAM in work that leads to a scientific publication, please cite the following paper:

S. Zaghi, F. Salvadore, A. Di Mascio, G. Rossi — Efficient GPU parallelization of adaptive mesh refinement technique for high-order compressible solver with immersed boundary — Computers and Fluids, 266 (2023) 106040. DOI: 10.1016/j.compfluid.2023.106040

The paper describes the ADAM framework architecture, the AMR/IB coupling strategy, the GPU parallelization approach (CUDA Fortran), and demonstrates strong scaling on a shock–sphere interaction benchmark. A preprint is available in docs/papers/zaghi-2023-computer_fluids.pdf.

BibTeX entry:

@article{zaghi2023adam,
  author  = {Zaghi, S. and Salvadore, F. and {Di Mascio}, A. and Rossi, G.},
  title   = {Efficient {GPU} parallelization of adaptive mesh refinement technique
             for high-order compressible solver with immersed boundary},
  journal = {Computers \& Fluids},
  volume  = {266},
  pages   = {106040},
  year    = {2023},
  doi     = {10.1016/j.compfluid.2023.106040},
}

Authors

• Andrea di Mascio — andrea.dimascio@univaq.it
• Federico Negro — federico.negro.01@gmail.com
• Giacomo Rossi — giacomo.rossi@amd.com
• Francesco Salvadore — f.salvadore@cineca.it
• Stefano Zaghi — stefano.zaghi@cnr.it

ADAM is dual-licensed under the MIT License and the GNU Lesser General Public License v3.0 (LGPLv3); you may choose either.

Copyright (C) Andrea Di Mascio, Federico Negro, Giacomo Rossi, Francesco Salvadore, Stefano Zaghi.