A parallel mapping of backpropagation algorithm for mesh signal processor

Author

Khan, Shoab A. ; Madisetti, Vijay K.

Author_Institution

Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA

fYear

1995

fDate

31 Aug-2 Sep 1995

Firstpage

561

Lastpage

570

Abstract

Presents a technique for mapping the backpropagation learning algorithm on a mesh signal processor. The optimal sub-partitioning of computation and communication, and data replication techniques are the key features of the authors´ algorithm. Theoretical analysis and simulation results, using the MIT Lincoln Lab simulator, show that the authors´ scheme performs better than the other schemes

Keywords

backpropagation; neural nets; parallel algorithms; signal processing; MIT Lincoln Lab simulator; backpropagation algorithm; data replication techniques; mesh signal processor; optimal sub-partitioning; parallel mapping; Algorithm design and analysis; Backpropagation algorithms; Broadcasting; Computational modeling; Concurrent computing; Data structures; Digital signal processing; Signal mapping; Signal processing; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks for Signal Processing [1995] V. Proceedings of the 1995 IEEE Workshop

Conference_Location

Cambridge, MA

Print_ISBN

0-7803-2739-X

Type

conf

DOI

10.1109/NNSP.1995.514931

Filename

514931

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2364129