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Programmable Logic Gates Based On Tunable Multistable Mechanisms

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Evaluating, Exploiting, and Hiding Power Side-Channel Leakage of Remote FPGAs

Ognjen Glamocanin

The pervasive adoption of field-programmable gate arrays (FPGAs) in both cyber-physical systems and the cloud has raised many security issues. Being integrated circuits, FPGAs are susceptible to fault and power side-channel attacks, which require physical ...

EPFL2023

A programmable patient-customized epileptic seizure detector is proposed in this paper to enable neurologists and patients to have constructive interactions with the implantable medical device. The programmability feature is enabled by designing a low-powe ...

IEEE2023

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

Three-Input Gates for Logic Synthesis

Giovanni De Micheli, Mathias Soeken, Dewmini Sudara Marakkalage, Eleonora Testa, Heinz Riener

Most logic synthesis algorithms work on graph representations of logic functions with nodes associated with arbitrary logic expressions or simple logic functions and iteratively optimize such graphs. While recent multilevel logic synthesis efforts focused ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

Reconfigurable Logic Gates Based on Programable Multistable Mechanisms

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

Binary logic gates are building blocks of computing machines, in particular, electronic computers. One variant is the programable logic gate, also known as the reconfigurable logic gate, in which the logical function implemented can be modified. In this pa ...

ASME2020

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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

This paper has been written as a response to 'Six additional questions about smart specialization: implications for regional innovation policy 4.0' by M. Benner. The paper starts with the argument that recent academic work has enabled considerable progress ...

ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD2020

A Compiler for Parallel and Resource-Constrained Programmable in-Memory Computing

Giovanni De Micheli, Mathias Soeken, Pierre-Emmanuel Julien Marc Gaillardon, Giulia Meuli

Solid-state resistive switches have recently enabled low-power, scalable, non-volatile memories. Their proven intrinsic logic operation, allowing design of in-memory computing systems, attracted the attention of the research community. A Programmable Logic ...

2017

A PLiM Computer for the Internet of Things

Giovanni De Micheli, Mathias Soeken, Pierre-Emmanuel Julien Marc Gaillardon

Emerging applications are dramatically changing computer architecture requirements, with a shift toward big data that is processed using simple computations. A programmable logic-in-memory (PLiM) computer can allow memory cells to perform primitive logic o ...

2017

Endurance Management for Resistive Logic-In-Memory Computing Architectures

Giovanni De Micheli, Mathias Soeken, Pierre-Emmanuel Julien Marc Gaillardon

Resistive Random Access Memory (RRAM) is a promising non-volatile memory technology which enables modern in-memory computing architectures. Although RRAMs are known to be superior to conventional memories in many aspects, they suffer from a low writ ...

Ieee2017