DocumentCode
2330007
Title
The impact of modern FPGA architectures on neural hardware: a case study of the TOTEM neural processor
Author
McBader, Stephanie ; Lee, Peter ; Sartori, Alvise
Author_Institution
Dept. of Electron., Kent Univ., Canterbury, UK
Volume
4
fYear
2004
fDate
25-29 July 2004
Firstpage
3149
Abstract
The implementation of neural processors in hardware is a very challenging task. However, previous advances in programmable architectures facilitate this task by providing the fundamental hardware blocks for building neural structures. Using the TOTEM neural processor as a case study, this paper reports on the main advantages of implementing neural hardware on programmable logic devices such as FPGAs.
Keywords
field programmable gate arrays; multilayer perceptrons; neural chips; neural net architecture; parallel architectures; FPGA; TOTEM neural processor; modern FPGA architectures; neural hardware; programmable architectures; programmable logic devices; Arithmetic; Computer aided software engineering; Computer architecture; Field programmable gate arrays; Hardware; Neurons; Parallel processing; Read-write memory; Registers; Signal processing algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on
Conference_Location
Budapest
ISSN
1098-7576
Print_ISBN
0-7803-8359-1
Type
conf
DOI
10.1109/IJCNN.2004.1381178
Filename
1381178
Link To Document