FPGA Implementation of Very Large Associative Memories

作者: Dan Hammerstrom , Changjian Gao , Shaojuan Zhu , Mike Butts

DOI: 10.1007/0-387-28487-7_6

关键词:

摘要: Associative networks have a number of properties, including rapid, compute efficient best-match and intrinsic fault tolerance, that make them ideal for many applications. However, large can be slow to emulate because their storage bandwidth requirements. In this chapter we present simple but effective model association then discuss performance analysis done in implementing on single high-end PC workstation, cluster, FPGA hardware.

参考文章(26)
Donald O. Hebb, The organization of behavior Neurocomputing: foundations of research. pp. 43- 54 ,(1988)
James A. Anderson, An Introduction to Neural Networks ,(1995)
William Gropp, Ewing Lusk, Anthony Skjellum, Using MPI: Portable Parallel Programming with the Message-Passing Interface ,(1994)
Shaojuan Zhu, D. Hammerstrom, Simulation of associative neural networks international conference on neural information processing. ,vol. 4, pp. 1639- 1643 ,(2002) , 10.1109/ICONIP.2002.1198953
Wolfgang Maass, Christopher M. Bishop, Pulsed neural networks ,(1998)
Kenneth E. Batcher, The Multidimensional Access Memory in STARAN IEEE Transactions on Computers. ,vol. 26, pp. 174- 177 ,(1977) , 10.1109/TC.1977.5009297