Models of Computation: Exploring the Power of Computing
Models of Computation: Exploring the Power of Computing
Nanowire-based sublithographic programmable logic arrays
FPGA '04 Proceedings of the 2004 ACM/SIGDA 12th international symposium on Field programmable gate arrays
Analysis of a Mask-Based Nanowire Decoder
ISVLSI '05 Proceedings of the IEEE Computer Society Annual Symposium on VLSI: New Frontiers in VLSI Design
Array-based architecture for FET-based, nanoscale electronics
IEEE Transactions on Nanotechnology
Stochastic assembly of sublithographic nanoscale interfaces
IEEE Transactions on Nanotechnology
Nonphotolithographic nanoscale memory density prospects
IEEE Transactions on Nanotechnology
Radial addressing of nanowires
ACM Journal on Emerging Technologies in Computing Systems (JETC)
Nanowire addressing with randomized-contact decoders
Proceedings of the 2006 IEEE/ACM international conference on Computer-aided design
Nanowire addressing with randomized-contact decoders
Theoretical Computer Science
Stochastic nanoscale addressing for logic
Proceedings of the 2010 IEEE/ACM International Symposium on Nanoscale Architectures
Design investigation of nanoelectronic circuits using crossbar-based nanoarchitectures
Microelectronics Journal
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A key challenge facing nanotechnologies is learning to control uncertainty introduced by stochastic self-assembly. In this article, we explore architectural and manufacturing strategies to cope with this uncertainty when assembling nanoarrays, crossbars composed of two orthogonal sets of parallel nanowires (NWs) that are differentiated at their time of manufacture. NW deposition is a stochastic process and the NW encodings present in an array cannot be known in advance. We explore the reliable construction of memories from stochastically assembled arrays. This is accomplished by describing several families of NW encodings and developing strategies to map external binary addresses onto internal NW encodings using programmable circuitry. We explore a variety of different mapping strategies and develop probabilistic methods of analysis. This is the first article that makes clear the wide range of choices that are available.