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Cited by 339

The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.

NanoFabrics: spatial computing using molecular electronics

Goldstein, Seth Copen, Budiu, Mihai·2001·Proceedings of the 28th annual international symposium on Computer architecture - ISCA '01

Abstract

The continuation of the remarkable exponential increases in processing power over the recent past faces imminent challenges due in part to the physics of deep-submicron CMOS devices and the costs of both chip masks and future fabrication plants. A promising solution to these problems is offered by an alternative to CMOS-based computing, chemically assembled electronic nanotechnology (CAEN).In this paper we outline how CAEN-based computing can become a reality. We briefly describe recent work in CAEN and how CAEN will affect computer architecture. We show how the inherently reconfigurable nature of CAEN devices can be exploited to provide high-density chips with defect tolerance at significantly reduced manufacturing costs. We develop a layered abstract architecture for CAEN-based computing devices and we present preliminary results which indicate that such devices will be competitive with CMOS circuits.

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Crossref · 10.1145/379240.379262

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Metadata

Authors
Goldstein, S. C., & Budiu, M.
Venue
Proceedings of the 28th annual international symposium on Computer architecture - ISCA '01
Publisher
ACM Press
Published
2001
Pages
178-191
ISSN
1063-6897 (ISSN-L)
OpenAlex
W2139399616
Cited by
339
References
15
FWCI
12.96
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: NanoFabrics: spatial computing using molecular electronics. https://app.cochat.ai/papers/10.1145/379240.379262
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Goldstein, S. C., & Budiu, M. (2001). NanoFabrics: spatial computing using molecular electronics. Proceedings of the 28th annual international symposium on Computer architecture - ISCA '01. https://doi.org/10.1145/379240.379262

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.