DocumentCode :
1606981
Title :
VLSI design of a neural processing element for the Boltzmann machine
Author :
Antognetti, Paolo ; De Gloria, Alessandro ; Faraboschi, Paolo ; Olivieri, Mauro ; Taddeo, Alberto
Author_Institution :
Dept. of Biophys. & Electron. Eng., Genoa Univ., Italy
fYear :
1992
Firstpage :
309
Lastpage :
312
Abstract :
The VLSI design of a neural processing element (NPE) of a massively parallel architecture for the Boltzmann machine algorithm is described. The single instruction, multiple data (SIMD) organization of the architecture and the algorithm itself require each NPE to have a large local memory and a simple datapath. This project combines reduced instruction set computer (RISC)-like datapath and a high capacity DRAM in the same silicon die with a digital technology, in order to reduce PCB costs by implementing each node of the architecture with a single ASIC
Keywords :
CMOS integrated circuits; VLSI; application specific integrated circuits; instruction sets; neural chips; parallel algorithms; parallel architectures; reduced instruction set computing; ASIC; Boltzmann machine; CMOS chip; RISC like-datapath; SIMD; VLSI design; datapath; high capacity DRAM; local memory; massively parallel architecture; multiple data; reduced instruction set computer; single instruction; Algorithm design and analysis; Application specific integrated circuits; Costs; Design engineering; Electronic mail; Neurons; Parallel architectures; Prototypes; Random access memory; Very large scale integration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
ASIC Conference and Exhibit, 1992., Proceedings of Fifth Annual IEEE International
Conference_Location :
Rochester, NY
Print_ISBN :
0-7803-0768-2
Type :
conf
DOI :
10.1109/ASIC.1992.270228
Filename :
270228
Link To Document :
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