FPGA Implementation of Very Large Associative Memories.

Autor: Omondi, Amos R., Rajapakse, Jagath C., Hammerstrom, Dan, Changjian Gao, Shaojuan Zhu, Butts, Mike
Zdroj: FPGA Implementations of Neural Networks; 2006, p167-195, 29p
Abstrakt: Associative networks have a number of properties, including a rapid, compute efficient best-match and intrinsic fault tolerance, that make them ideal for many applications. However, large networks can be slow to emulate because of their storage and bandwidth requirements. In this chapter we present a simple but effective model of association and then discuss a performance analysis we have done in implementing this model on a single high-end PC workstation, a PC cluster, and FPGA hardware. [ABSTRACT FROM AUTHOR]
Databáze: Supplemental Index