GPU-accelerated adjoint algorithmic differentiation

Abstract Many scientific problems such as classifier training or medical image reconstruction can be expressed as minimization of differentiable real-valued cost functions and solved with iterative gradient-based methods. Adjoint algorithmic differentiation (AAD) enables automated computation of gra...

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Bibliographische Detailangaben

1. Verfasser:	Gremse, Felix
Format:	Dataset
Sprache:	eng
Schlagworte:	Computational Method Computational Physics Computer Hardware FOS: Electrical engineering, electronic engineering, information engineering Programming Languages Software
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