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NEM Relay Design with Biconditional Binary Decision Diagrams

Publications associées (30)

Random flip-flop: adding quantum randomness to digital circuits for improved cyber security, artificial intelligence and more

Claudio Bruschini, Edoardo Charbon, Ivan Michel Antolovic, Mario Stipcevic

Harnessing quantum randomness for the generation of random numbers is an important concept crucial for information security and many other computer-related applications. Quantum random number generators (QRNGs) are evolving from bulky, slow, and expensive ...

SPIE2021

Shrinking FPGA Static Power via Machine Learning-Based Power Gating and Enhanced Routing

Mirjana Stojilovic, Hossein Asadi, Zeinab Seifoori

Despite FPGAs rapidly evolving to support the requirements of the most demanding emerging applications, their high static power consumption, concentrated within the routing resources, still presents a major hurdle for low-power applications. Augmenting the ...

2021

Enhancement Mode Tri-gate GaN Power Devices and Logic Circuits

Minghua Zhu

Gallium Nitride (GaN) is one of the most promising materials for high frequency power switching due to its exceptional properties such as large saturation velocity, high carrier mobility, and high breakdown field strength. The high switching frequency of G ...

EPFL2021

Improving First-Order Threshold Implementations of SKINNY

Andrea Felice Caforio, Ognjen Glamocanin, Subhadeep Banik, Daniel Patrick Collins

Threshold Implementations have become a popular generic technique to construct circuits resilient against power analysis attacks.In this paper, we look to devise efficient threshold circuits for the lightweight block cipher family SKINNY. The only threshol ...

Springer2021

Low-Latency High-Bandwidth Circuit and System Design for Trigger Systems in High Energy Physics

Marcos Vinícius Silva Oliveira

The increasing luminosity in HEP (High Energy Physics) colliders demands trigger systems to be more selective. First, more information from the detector is routed to the trigger system. Second, larger parts of this information are processed together. These ...

EPFL2021

Extending Boolean Methods for Scalable Logic Synthesis

Giovanni De Micheli, Luca Gaetano Amarù, Pierre-Emmanuel Julien Marc Gaillardon, Eleonora Testa, Mathias Soeken

In recent years, Boolean methods in logic synthesis have been drawing the attention of EDA researchers due to the continuous push to advance quality of results. Boolean methods require high computational cost, as they rely on complete functional properties ...

2020

Data Structures and Algorithms for Logic Synthesis in Advanced Technologies

Eleonora Testa

Logic synthesis is a key component of digital design and modern EDA tools; it is thus an essential instrument for the design of leading-edge chips and to push the limits of their performance. In the last decades, the electronic circuits community has evolv ...

EPFL2020

A Logic Synthesis Toolbox for Reducing the Multiplicative Complexity in Logic Networks

Giovanni De Micheli, Luca Gaetano Amarù, Eleonora Testa, Mathias Soeken, Heinz Riener

Logic synthesis is a fundamental step in the realization of modern integrated circuits. It has traditionally been employed for the optimization of CMOS-based designs, as well as for emerging technologies and quantum computing. Recently, it found applicatio ...

IEEE2020

Programmable Logic Gates Based On Tunable Multistable Mechanisms

Simon Nessim Henein, Ilan Vardi, Mohamed Gamal Abdelrahman Ahmed Zanaty, Hubert Pierre-Marie Benoît Schneegans

Binary logic operations are the building blocks of computing machines. In this paper, we present a new programmable binary logic gate based on programmable multistable mechanisms (PMM), which are multistable structures whose stability behavior depends on m ...

AMER SOC MECHANICAL ENGINEERS2020

Logic-in-memory based on an atomically thin semiconductor

Andras Kis, Aleksandra Radenovic, Yanfei Zhao, Ahmet Avsar, Zhenyu Wang, Guilherme Migliato Marega, Mukesh Kumar Tripathi

The growing importance of applications based on machine learning is driving the need to develop dedicated, energy-efficient electronic hardware. Compared with von Neumann architectures, which have separate processing and storage units, brain-inspired in-me ...

2020