Title :
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
fDate :
31 Aug-2 Sep 1995
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;
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
DOI :
10.1109/NNSP.1995.514931
