AMPI

AMPI: Adjoint MPI Library. Adjoint MPI implements adjoint message passing routines in the context of reverse mode Algorithmic Differentiation for MPI enabled codes. Its emphasis is on preserving the MPI signatures, thus facilitating a smooth transition from MPI to adjoint MPI. Currently the library supports the Algorithmic Differentiation tools dcc, dco and the compAD module of the NAG Fortran compiler.

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References in zbMATH (referenced in 9 articles )

Showing results 1 to 9 of 9.
Sorted by year (citations)

  1. Okubo, Carlos M. jun.; Sá, Luís F. N.; Kiyono, César Y.; Silva, Emílio C. N.: A discrete adjoint approach based on finite differences applied to topology optimization of flow problems (2022)
  2. Fleischli, Benno; Mangani, Luca; Del Rio, Armando; Casartelli, Ernesto: A discrete adjoint method for pressure-based algorithms (2021)
  3. Mohanamuraly, P.; Hascoët, L.; Müller, J.-D.: Seeding and adjoining zero-halo partitioned parallel scientific codes (2020)
  4. Hück, Alexander; Bischof, Christian; Sagebaum, Max; Gauger, Nicolas R.; Jurgelucks, Benjamin; Larour, Eric; Perez, Gilberto: A usability case study of algorithmic differentiation tools on the ISSM ice sheet model (2018)
  5. Hückelheim, J. C.; Hovland, P. D.; Strout, M. M.; Müller, J.-D.: Parallelizable adjoint stencil computations using transposed forward-mode algorithmic differentiation (2018)
  6. Towara, M.; Naumann, U.: SIMPLE adjoint message passing (2018)
  7. Constant, E.; Favier, J.; Meldi, M.; Meliga, P.; Serre, E.: An immersed boundary method in \textitOpenFOAM: verification and validation (2017)
  8. Lotz, Johannes; Naumann, Uwe; Sagebaum, Max; Schanen, Michel: Discrete adjoints of petsc through dco/c++ and adjoint MPI (2013) ioport
  9. Schanen, Michel; Naumann, Uwe: A wish list for efficient adjoints of one-sided MPI communication (2012) ioport