Magnetic dipolar coupling and collective effects for binary information codification in cost-effective logic devices

J. Emerg. Technol. Comput. Syst.

Zamboni

2014

Self Cite

Density and regularity are deemed as the major advantages of nanoarray architectures based on nanowires. Literature demonstrated that proper reliability analyzes must be performed and solutions have to be devised to improve nanoarrays yield. Their complexity and high-fault probability claim for specific design automation tools able to explore circuit solutions, performance and fault-tolerant approaches.We envision a simulator conceived to carry on characterizations in terms of logic behavior, defect-induced output error rate assessment, switching activity, power and timing performance. Though already existing for traditional technology, a simulator based on specific technological and topological tiled nanoarray descriptions, and conceived to join both device and architecture levels, has never been attempted at the degree of accuracy we present.Our contribution is twofold. First, marking a difference with respect to the state of the art, we developed an algorithm based on an event-driven engine which works at switch level and is not simply built on top of cost functions evaluations. The straightforward advantage is the possibility to follow the evolution of dynamic control sequences throughout all the inner components of the nanoarray, and, as a consequence, to obtain circuit level characterization as a projection of the real internal parameters.Second, we added to our simulator the capability to inject faults with specific statistical distributions associated to the nanoarray topology. Here we extract output error rates and yield for one of the possible nanoarray structures proposed in literature, the NASIC. Results specificity and accuracy demonstrate the simulator trustworthiness, its effectiveness for extensive nanoarrays characterization and its suitability as a foundation for both higher architectural and lower device simulation levels.The aim of this work, then, is to provide insights into the intertwined relation between actual technology and circuit design for these emerging fabrics, and, as a consequence, to clarify how defects and variability affect circuits and systems performance. ACM Reference Format:Frache, S., Graziano, M., and Zamboni, M. 2014. Nanoarray architectures multilevel simulation. ACM J.

Section: Background and Perspectivesmentioning

confidence: 99%

Nanoarray architectures multilevel simulation

Frache

J. Emerg. Technol. Comput. Syst.

Zamboni

2014

Self Cite

“…than in the molecular case (50-200 MHz) [11] [12], due to its magnetic nature it combines logic and memory in the same device enabling the development of completely new type of circuits. It has already been experimentally demonstrated [6] and it proved to have a very good tolerance to process variations [13] [14]. Furthermore it is resistant to radiations and heat, being as a consequence a perfect candidate for military and space applications.…”

Section: Introductionmentioning

confidence: 97%

Feedbacks in QCA: A Quantitative Approach

Vacca

Wang

et al. 2015

IEEE Trans. VLSI Syst.

Self Cite

In the post-CMOS scenario a primary role is played by Quantum dot Cellular Automata (QCA) technology. Irrespective of the specific implementation principle (e.g. either molecular, magnetic or semi-conductive in current scenario) the intrinsic deep-level pipelined behavior is the dominant issue. It has important consequences on circuit design and performance especially in presence of feedbacks in sequential circuits. Though partially already addressed in literature, these consequences still must be fully understood and solutions thoroughly approached in order to allow this technology any further advancement. This work conducts an exhaustive analysis of the effects and the consequences derived by the presence of loops in QCA circuits. For each problem arisen a solution is presented. The analysis is performed using as test architecture a complex systolic array circuit for biosequences analysis (Smith-Waterman algorithm) which represents one of the most promising application for QCA technology. The circuit is based on NanoMagnetic Logic as QCA implementation, is designed down to the layout level considering technological constraints and experimentally validated structures, counts up to approximately 2.3Ml nanomagnets, is described and simulated with HDL language using as a testbench realistic protein alignment sequences. The results here presented constitute a fundamental advancement in the emerging technologies field, since, 1) they are based on a quantitative approach relying on a realistic and complex circuit involving a large variety of QCA blocks, 2) they strictly are reckoned starting from current technological limits without relying on unrealistic assumptions, 3) they provide general rules to design complex sequential circuits with intrinsically pipelined technologies, like QCA, 4) they prove with a real application benchmark how to maximize the circuits performance.

“…Emerging future nanoelectronics is being extensively explored for several applications [1][2][3][4][5][6]. More specifically molecular devices can play an important role both for sensing and for computational applications with huge advantages in terms of integration capabilities, functional density, and performance.…”

Section: Introductionmentioning

confidence: 99%

VHDL-AMS Simulation Framework for Molecular-FET Device-to-Circuit Modeling and Design

Active and Passive Electronic Components

Zahir

Mehdy

et al. 2018

Self Cite

We concentrate on Molecular-FET as a device and present a new modular framework based on VHDL-AMS. We have implemented different Molecular-FET models within the framework. The framework allows comparison between the models in terms of the capability to calculate accurate -characteristics. It also provides the option to analyze the impact of Molecular-FET and its implementation in the circuit with the extension of its use in an architecture based on the crossbar configuration. This analysis evidences the effect of choices of technological parameters, the ability of models to capture the impact of physical quantities, and the importance of considering defects at circuit fabrication level. The comparison tackles the computational efforts of different models and techniques and discusses the trade-off between accuracy and performance as a function of the circuit analysis final requirements. We prove this methodology using three different models and test them on a 16-bit tree adder included in Pentium 4 that, to the best of our knowledge, is the biggest circuits based on molecular device ever designed and analyzed.