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[PDF] Top 20 Adjoint computation and Backpropagation

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Adjoint computation and Backpropagation

Adjoint computation and Backpropagation

... I Iteratively, read some checkpointed data from one of the branches, backpropagate a subset of the graph (can write additional intermediate data).. Write some intermediate data[r] ... Voir le document complet

103

Kaltofen's division-free determinant algorithm differentiated for matrix adjoint computation

Kaltofen's division-free determinant algorithm differentiated for matrix adjoint computation

... subspaces, and computes the determinant as the constant term of a characteristic ...Baur and Strassen (1983), the determinant algorithm, actually a straight-line program, leads to an algorithm with the same ... Voir le document complet

19

Implementation and measurements of an efficient Fixed Point Adjoint

Implementation and measurements of an efficient Fixed Point Adjoint

... the adjoint computation is a serious waste of ...the adjoint loop of the standard AD adjoint code runs for exactly the same number of iterations, it may return a gradient that is not converged ... Voir le document complet

12

OPTIMAL CONTROL AND SENSITIVITY ANALYSIS OF A BUILDING USING ADJOINT METHODS

OPTIMAL CONTROL AND SENSITIVITY ANALYSIS OF A BUILDING USING ADJOINT METHODS

... ent computation based on the use of an adjoint model. The computation cost proves very low and compli- ant with real-time application ...The adjoint theory widely used here is mainly ... Voir le document complet

9

Some highlights on Source-to-Source Adjoint AD

Some highlights on Source-to-Source Adjoint AD

... derivative computation start, retrieving control flow information on the ...instruction and its derivative counterpart as aligned ...storage and retrieval of these intermediate ...of adjoint ... Voir le document complet

6

Optimal Memory-aware Backpropagation of Deep Join Networks

Optimal Memory-aware Backpropagation of Deep Join Networks

... networks and to show how dynamic programming techniques developed in the context of AD can be adapted to DNN ...the computation of the loss function (Join ...techniques and higher computational ... Voir le document complet

15

Optimal Multistage Algorithm for Adjoint Computation

Optimal Multistage Algorithm for Adjoint Computation

... function computation (forward sweep) and use this saved state in the derivative computation (reverse ...states and recompute the unsaved states as needed. Griewank and Walther prove ... Voir le document complet

36

AEROSTRUCTURAL OPTIMIZATION WITH THE ADJOINT METHOD

AEROSTRUCTURAL OPTIMIZATION WITH THE ADJOINT METHOD

... Aerodynamic-only and aeroelastic optimizations have been conducted and a specific tool, InAirSsi, for structural modeling has been ...weight, and supplies the aerostructural adjoint solver ... Voir le document complet

13

H-Revolve: A Framework for Adjoint Computation on Synchronous Hierarchical Platforms

H-Revolve: A Framework for Adjoint Computation on Synchronous Hierarchical Platforms

... for adjoint computations needs to implement different steps: the algorithm library based on parameters of the system; the checkpointing techniques, parallelisation of the code and overall ...for ... Voir le document complet

26

Periodicity is Optimal for Offline and Online Multi-Stage Adjoint Computations

Periodicity is Optimal for Offline and Online Multi-Stage Adjoint Computations

... quantification, and nonlinear systems of ...discrete adjoint methods are widely used for the gradient com- putation when the problem possesses an extensive amount of design ...discretised, and the ... Voir le document complet

40

Adjoint Lattice Boltzmann Equation for Parameter Identification

Adjoint Lattice Boltzmann Equation for Parameter Identification

... • Work is under way to test the ability of the proposed method to determine a large number (p) of unknown parameters. In that case for each set of unknown parameters for which the gradients are required, one needs one ... Voir le document complet

16

Approximation and computation of fourier transforms

Approximation and computation of fourier transforms

... Generally, the function g( ) of which the transform is to be found is given either only empirically or may be of such a complex nature as to make analytical e[r] ... Voir le document complet

40

Secure Multi-Party Computation and Privacy

Secure Multi-Party Computation and Privacy

... 2.15 and Fig. 2.16), and to output only one, randomly chosen by the evaluator ...one, and a multiplexer (described in [KS08]) allows E to choose which of the two results is returned (let c represent ... Voir le document complet

167

Delegating computation reliably : paradigms and constructions

Delegating computation reliably : paradigms and constructions

... In this chapter we put forth a methodology for constructing program checkers, testers, and correctors which are provably more efficient in terms of their czrcuit d[r] ... Voir le document complet

297

Forward and adjoint quasi-geostrophic models of the geomagnetic secular variation

Forward and adjoint quasi-geostrophic models of the geomagnetic secular variation

... generated and sustained by fluid motions in the metallic liquid outer core, and varies on a wide range of time scales reflecting the various time and space scales of core ...Gauss and ... Voir le document complet

29

Computing heteroclinic orbits using adjoint-based methods

Computing heteroclinic orbits using adjoint-based methods

... waves and periodic orbits have been identified, computing heteroclinic connections remains a ...manifold and thereby provides access to heteroclinic connections that cannot easily be identified using ... Voir le document complet

14

The Data-Dependence Graph of Adjoint Programs

The Data-Dependence Graph of Adjoint Programs

... 101 - 54602 Villers lès Nancy Cedex France Unité de recherche INRIA Rennes : IRISA, Campus universitaire de Beaulieu - 35042 Rennes Cedex France Unité de recherche INRIA Rhône-Alpes : 65[r] ... Voir le document complet

21

An Adjoint-Based Adaptive Ensemble Kalman Filter

An Adjoint-Based Adaptive Ensemble Kalman Filter

... dynamics and data, which should reduce dependence on the stationary back- ground error covariance ...holds and the ad- joint is stable for all new ensemble members, in line with our discussion in section ... Voir le document complet

18

Computation Research

Computation Research

... The data format of such tapes is typically incompatible with Fortran IV (release 11 and higher) standard binary tape format, which requires two full-words of contr[r] ... Voir le document complet

6

Computation Research

Computation Research

... In a recent paper on solving nonlinear equations, Kizner outlines a method that raises the order of convergence without calculating derivatives of higher order or [r] ... Voir le document complet

6

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