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 Ralf Giering

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Bibliometrics: publication history
Average citations per article12.25
Citation Count98
Publication count8
Publication years1998-2006
Available for download1
Average downloads per article1,993.00
Downloads (cumulative)1,993
Downloads (12 Months)79
Downloads (6 Weeks)6
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8 results found Export Results: bibtexendnoteacmrefcsv

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1
May 2006 ICCS'06: Proceedings of the 6th international conference on Computational Science - Volume Part IV
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 1

An implementation of Automatic Sparsity Detection (ASD) as a new source-to-source transformation is presented. Given a code for evaluation of a function, ASD generates code to evaluate the sparsity pattern of the function’s Jacobian by operations on bit-vectors. Similar to Automatic Differentiation (AD), there are forward and reverse modes of ...

2
October 2005 Future Generation Computer Systems: Volume 21 Issue 8, October 2005
Publisher: Elsevier Science Publishers B. V.
Bibliometrics:
Citation Count: 2

FastOpt's new automatic differentiation tool TAF is applied to the two-dimensional Navier-Stokes solver NSC2KE. For a configuration that simulates the Euler flow around an NACA airfoil, TAF has generated the tangent linear and adjoint models as well as the second derivative (Hessian) code. Owing to TAF's capability of generating efficient ...
Keywords: computational fluid dynamics, Hessian, Navier-Stokes, shape optimisation, automatic differentiation, adjoint

3
October 2005 Future Generation Computer Systems: Volume 21 Issue 8, October 2005
Publisher: Elsevier Science Publishers B. V.
Bibliometrics:
Citation Count: 9

We describe computational aspects of automatic differentiation applied to global ocean circulation modeling and state estimation. The task of minimizing a cost function measuring the ocean simulation versus observation misfit is achieved through efficient calculation of the cost gradient w.r.t. a set of controls via the adjoint technique. The adjoint ...
Keywords: Adjoint/reverse mode of AD, Ocean state estimation/data assimilation, Ocean/climate modeling, Parallel/high performance computing, Automatic differentiation

4
October 2005 Future Generation Computer Systems: Volume 21 Issue 8, October 2005
Publisher: Elsevier Science Publishers B. V.
Bibliometrics:
Citation Count: 2

We describe computational aspects of automatic differentiation applied to global ocean circulation modeling and state estimation. The task of minimizing a cost function measuring the ocean simulation versus observation misfit is achieved through efficient calculation of the cost gradient w.r.t. a set of controls via the adjoint technique. The adjoint ...
Keywords: ocean state estimation/data assimilation, automatic differentiation, ocean/climate modeling, adjoint/reverse mode of AD, parallel/high performance computing

5
May 2003 ICCSA'03: Proceedings of the 2003 international conference on Computational science and its applications: PartII
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 1

We present a prototype of a Carbon Cycle Data Assimilation System (CCDAS), which is composed of a terrestrial biosphere model (BETHY) coupled to an atmospheric transport model (TM2), corresponding derivative codes and a derivative-based optimisation routine. In calibration mode, we use first and second derivatives to estimate model parameters and ...

6
April 2002 ICCS '02: Proceedings of the International Conference on Computational Science-Part II
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 5

We describe key computational aspects of automatic differentiation applied to the global ocean state estimation problem. The task of minimizing a cost function measuring the ocean simulation vs. observation misfit is achieved through efficient calculation of the cost gradient w.r.t. a set of controls via the adjoint technique. The adjoint ...

7
October 2000 Automatic differentiation of algorithms: from simulation to optimization
Publisher: Springer-Verlag New York, Inc.
Bibliometrics:
Citation Count: 11

The main challenge of the reverse (or adjoint) mode of automatic differentiation (AD) is providing the accurate values of required variables to the derivative code. We discuss different strategies to tackle this challenge. The ability to generate efficient adjoint code is crucial for handling large scale applications. For challenging applications, ...

8 published by ACM
December 1998 ACM Transactions on Mathematical Software (TOMS): Volume 24 Issue 4, Dec. 1998
Publisher: ACM
Bibliometrics:
Citation Count: 67
Downloads (6 Weeks): 6,   Downloads (12 Months): 79,   Downloads (Overall): 1,993

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Adjoint models are increasingly being developed for use in meteorology and oceanography. Typical applications are data assimilation, model tuning, sensitivity analysis, and determination of singular vectors. The adjoint model computes the gradient of a cost function with respect to control variables. Generation of adjoint code may be seen as the ...
Keywords: adjoint model, implicit functions, optimization, adjoint operator, computational differentiation, differentiation of algorithms, inverse modeling, automatic differentiation, data assimilation, reverse mode



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