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GPU-Accelerated Adjoint Algorithmic Differentiation

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 gradients of...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:Comput Phys Commun
Egile Nagusiak: Gremse, Felix, Höfter, Andreas, Razik, Lukas, Kiessling, Fabian, Naumann, Uwe
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: 2016
Gaiak:
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC4772124/
https://ncbi.nlm.nih.gov/pubmed/26941443
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.cpc.2015.10.027
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