Interpretative Adjoints for Numerical Simulation Codes using MPI
Michel Schanen
Uwe Naumann
(RWTH Aachen, Germany)
Laurent Hascoët
(INRIA Sophia-Antipolis, France)
Jean Utke
(Argonne National Laboratory, USA)
Proceedings of the 10th International Conference on Computational Science,
ICCS'2010, May 31-June 2, 2010, Amsterdam, The Netherlands (10 pages)
Abstract:
An essential performance and correctness factor in numerical simulation and optimization
is access to exact derivative information. Adjoint derivative models are particularly
useful if a function’s number of inputs far exceeds the number of outputs. The propagation
of adjoints requires the data flow to be reversed, implying the reversal of all communication
in programs that use message-passing. This paper presents recent advances made
in developing the adjoint MPI library AMPI. The described proof of concept aims to
serve as the basis for coupling other overloading AD tools with AMPI. We illustrate its
use in the context of a specific overloading tool for algorithmic differentiation (AD) for
C++ programs. A simplified but representative application problem is discussed as a case
study.
Keywords:
MPI, automatic differentiation, overloading, reverse mode
Full text (pdf)
@inproceedings{SNHU2010,
author = {Schanen, M. and Naumann, U. and Hasco{\"e}t, L. and Utke, J.},
title = "Interpretative Adjoints for Numerical Simulation Codes using MPI",
booktitle = "Proceedings of the 10th International Conference
on Computational Science, ICCS'2010",
location = "Amsterdam, The Netherlands",
year = "2010"
}