Title :
Neural networks in FPGAs
Author :
Omondi, Amos R. ; Rajapakse, Jagath C.
Author_Institution :
Sch. of Informatics & Eng., Flinders Univ., Bedford Park, SA, Australia
Abstract :
As FPGAs have increasingly become denser and faster, they are being utilized for many applications, including the implementation of neural networks. Ideally, FPGA implementations, being directly in hardware and having parallelism, will have performance advantages over software on conventional machines. But there is a great deal to be done to make the most of FPGAs and to prove their worth in implementing neural networks, especially in view of past failures in the implementation of neurocomputers. This paper looks at some of the relevant issues.
Keywords :
field programmable gate arrays; neural chips; neural nets; parallel architectures; table lookup; FPGA; combinational logic; field programmable gate arrays; lookup-table; neural networks; parallelism; reconfigurability; Arithmetic; Field programmable gate arrays; Hardware; Informatics; Intelligent networks; Microprocessors; Neural networks; Parallel processing; Software algorithms; Software performance;
Conference_Titel :
Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on
Print_ISBN :
981-04-7524-1
DOI :
10.1109/ICONIP.2002.1198202
