A highly efficient implementation of a backpropagation learning algorithm using matrix ISA

DOI10.1016/J.JPDC.2007.12.004zbMath1243.68252OpenAlexW2041173801MaRDI QIDQ436824

Mostafa I. Soliman, Samir A. Mohamed

Publication date: 26 July 2012

Published in: Journal of Parallel and Distributed Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jpdc.2007.12.004

zbMATH Keywords

neural networksparallel algorithmsbackpropagation algorithmparallel architectureloop unrollingreusing datavector/matrix processing

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Parallel algorithms in computer science (68W10) Parallel numerical computation (65Y05)

Uses Software

• BLAS

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• An extended set of FORTRAN basic linear algebra subprograms
• Basic Linear Algebra Subprograms for Fortran Usage
• A set of level 3 basic linear algebra subprograms
• A learning framework for neural networks using constrained optimization methods

This page was built for publication: A highly efficient implementation of a backpropagation learning algorithm using matrix ISA