New frontiers: self-assembly and nanoelectronics

Zhirnov, V.V.; Herr, Daniel J. C.

doi:10.1109/2.895116

Cited by 66 publications

(38 citation statements)

References 11 publications

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“…Here, we argue that because of fewer physical constraints, computing architectures that are "assembled" in a largely random manner, are easier and cheaper to build than highly regular architectures, such as crossbars or cellular-automata-like assemblies, which usually require a perfect or almost perfect establishment of the connections. Self-assembly, for example, is particularly well suited for building random structures [65]. Powerlaw connection-length distributions have been observed in many systems created through self-organization, such as the human cortex or the Internet, and they can be considered "physically realizable" [49].…”

Section: E Physical Plausibility and Realizabilitymentioning

confidence: 99%

Nature-inspired interconnects for self-assembled large-scale network-on-chip designs

Teuscher

2007

Chaos: An Interdisciplinary Journal of Nonlinear Science

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Future nano-scale electronics built up from an Avogadro number of components needs efficient, highly scalable, and robust means of communication in order to be competitive with traditional silicon approaches. In recent years, the Networks-on-Chip (NoC) paradigm emerged as a promising solution to interconnect challenges in silicon-based electronics. Current NoC architectures are either highly regular or fully customized, both of which represent implausible assumptions for emerging bottom-up self-assembled molecular electronics that are generally assumed to have a high degree of irregularity and imperfection. Here, we pragmatically and experimentally investigate important design trade-offs and properties of an irregular, abstract, yet physically plausible 3D small-world interconnect fabric that is inspired by modern network-on-chip paradigms. We vary the framework's key parameters, such as the connectivity, the number of switch nodes, the distribution of long-versus short-range connections, and measure the network's relevant communication characteristics. We further explore the robustness against link failures and the ability and efficiency to solve a simple toy problem, the synchronization task. The results confirm that (1) computation in irregular assemblies is a promising and disruptive computing paradigm for self-assembled nano-scale electronics and (2) that 3D small-world interconnect fabrics with a power-law decaying distribution of shortcut lengths are physically plausible and have major advantages over local 2D and 3D regular topologies.

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Section: E Physical Plausibility and Realizabilitymentioning

confidence: 99%

Nature-inspired interconnects for self-assembled large-scale network-on-chip designs

Teuscher

2007

Chaos: An Interdisciplinary Journal of Nonlinear Science

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“…No new technology shows more promise for meeting these demands than sensor networks [3,4,5,6,7]. New techniques are rapidly reducing size and cost of devices that sense (or act), compute, and communicate under their own power.…”

Section: Limits Of Current Sensor Network Researchmentioning

confidence: 99%

Biology-inspired Architecture for Situation Management

et al. 2006

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Abstract-Situation Management is a rapidly developing science combining new techniques for data collection with advanced methods of data fusion to facilitate the process leading to correct decisions prescribing action. Current research focuses on reducing increasing amounts of diverse data to knowledge used by decision makers and on reducing time between observations, decisions and actions.No new technology is more promising for increasing the diversity and fidelity of observations than sensor networks. However, current research on sensor networks concentrates on a centralized network architecture. We believe this trend will not realize the full potential of situation management.We propose a new architecture modeled after biological ecosystems where motes are autonomous and intelligent, yet cooperate with local neighborhoods. Providing a layered approach, they sense and act independently when possible, and cooperate with neighborhoods when necessary. The combination of their local actions results in global effects.While situation management research is currently dominated by military applications, advances envisioned for industrial and business applications have similar requirements. NASA has requirements for intelligent and autonomous systems in future missions that can benefit from advances in situation management. We describe requirements for the Integrated Vehicle Health Management program where our biology-inspired architecture provides a layered approach and decisions can be made at the proper level to improve safety, reduce costs, and improve efficiency in making diagnostic and prognostic assessments of the structural integrity, aerodynamic characteristics, and operation of aircraft.

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“…Recent advances in nano-technology have made it feasible to develop miniaturized low-power devices that integrate sensing, special-purpose computing and wireless communications capabilities [1,12,19]. These small devices, commonly called sensors, will be mass-produced, making their production cost negligible.…”

Section: Introductionmentioning

confidence: 99%

Efficient Training of Sensor Networks

Bertossi

Olariu

Pinotti

2006

Algorithmic Aspects of Wireless Sensor Networks

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Abstract. Due to their small form factor and modest energy budget, individual sensors are not expected to be GPS-enabled. Moreover, in most applications, exact geographic location is not necessary, and all that the individual sensors need is a coarse-grain location awareness. The task of acquiring such a coarse-grain location awareness is referred to as training. In this paper, a scalable energy-efficient training protocol is proposed for massively-deployed sensor networks, where sensors are initially anonymous and unaware of their location. The training protocol is lightweight and simple to implement; it is based on an intuitive coordinate system imposed onto the deployment area which partitions the anonymous sensors into clusters where data can be gathered from the environment and synthesized under local control.

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New frontiers: self-assembly and nanoelectronics

Cited by 66 publications

References 11 publications

Nature-inspired interconnects for self-assembled large-scale network-on-chip designs

Nature-inspired interconnects for self-assembled large-scale network-on-chip designs

Biology-inspired Architecture for Situation Management

Efficient Training of Sensor Networks

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