4.5k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- ETH ZurichCH46 papers
- University of BolognaIT11 papers
- Haute Ecole Arc IngénierieCH4 papers
- HES-SO ArcCH4 papers
- IBM Research - ZurichCH4 papers
- HES-SO University of Applied Sciences and Arts Western SwitzerlandCH3 papers
- National Institute for Materials ScienceJP3 papers
- École Polytechnique Fédérale de LausanneCH2 papers
- Fondazione Bruno KesslerIT2 papers
- Purdue University West LafayetteUS2 papers
- Rice UniversityUS2 papers
- University of Alabama in HuntsvilleUS2 papers
49 papers
Self-sustaining Ultra-wideband Positioning System for Event-driven Indoor Localization
Philipp Mayer, Michele Magno, Luca Benini
Smart and unobtrusive mobile sensor nodes that accurately track their own position have the potential to augment data collection with location-based functions. To attain this visio…
A "New Ara" for Vector Computing: An Open Source Highly Efficient RISC-V V 1.0 Vector Processor Design
Matteo Perotti, Matheus Cavalcante, Nils Wistoff +3
Vector architectures are gaining traction for highly efficient processing of data-parallel workloads, driven by all major ISAs (RISC-V, Arm, Intel), and boosted by landmark chips,…
Vision-State Fusion: Improving Deep Neural Networks for Autonomous Robotics
Elia Cereda, Stefano Bonato, Mirko Nava +2
Vision-based deep learning perception fulfills a paramount role in robotics, facilitating solutions to many challenging scenarios, such as acrobatic maneuvers of autonomous unmanne…
Systematic Prevention of On-Core Timing Channels by Full Temporal Partitioning
Nils Wistoff, Moritz Schneider, Frank K. Gürkaynak +2
Microarchitectural timing channels enable unwanted information flow across security boundaries, violating fundamental security assumptions. They leverage timing variations of sever…
Dustin: A 16-Cores Parallel Ultra-Low-Power Cluster with 2b-to-32b Fully Flexible Bit-Precision and Vector Lockstep Execution Mode
Gianmarco Ottavi, Angelo Garofalo, Giuseppe Tagliavini +4
Computationally intensive algorithms such as Deep Neural Networks (DNNs) are becoming killer applications for edge devices. Porting heavily data-parallel algorithms on resource-con…
A heterogeneously integrated lithium niobate-on-silicon nitride photonic platform
Mikhail Churaev, Rui Ning Wang, Viacheslav Snigirev +12
The availability of thin-film lithium niobate on insulator (LNOI) and advances in processing have led to the emergence of fully integrated LiNbO3 electro-optic devices, including l…
A TinyML Platform for On-Device Continual Learning with Quantized Latent Replays
Leonardo Ravaglia, Manuele Rusci, Davide Nadalini +3
In the last few years, research and development on Deep Learning models and techniques for ultra-low-power devices in a word, TinyML has mainly focused on a train-then-deploy assum…
Microwave-to-optical conversion with a gallium phosphide photonic crystal cavity
Simon Hönl, Youri Popoff, Daniele Caimi +3
Electrically actuated optomechanical resonators provide a route to quantum-coherent, bidirectional conversion of microwave and optical photons. Such devices could enable optical in…
Ab initio mobility of mono-layer MoS2 and WS2: comparison to experiments and impact on the device characteristics
Youseung Lee, Sara Fiore, Mathieu Luisier
We combine the linearized Boltzmann Transport Equation (LBTE) and quantum transport by means of the Non-equilibrium Green's Functions (NEGF) to simulate single-layer MoS2 and WS2 u…
Ab Initio Modeling of Thermal Transport through van der Waals Materials
Sara Fiore, Mathieu Luisier
An advanced modeling approach is presented to shed light on the thermal transport properties of van der Waals materials (vdWMs) composed of single-layer transition metal dichalcoge…
An Open-Source Platform for High-Performance Non-Coherent On-Chip Communication
Andreas Kurth, Wolfgang Rönninger, Thomas Benz +4
On-chip communication infrastructure is a central component of modern systems-on-chip (SoCs), and it continues to gain importance as the number of cores, the heterogeneity of compo…
On the suitability of hBN as an insulator for 2D material-based ultrascaled CMOS devices
Theresia Knobloch, Yury Yu. Illarionov, Fabian Ducry +8
Complementary metal oxide semiconductor (CMOS) logic circuits at the ultimate scaling limit place the utmost demands on the properties of all materials involved. The requirements f…
Quantum mechanical modeling of anharmonic phonon-phonon scattering in nanostructures
Yangyu Guo, Marc Bescond, Zhongwei Zhang +3
The coherent quantum effect becomes increasingly important in the heat dissipation bottleneck of semiconductor nanoelectronics with the characteristic size shrinking down to few na…
Improving Memory Utilization in Convolutional Neural Network Accelerators
Petar Jokic, Stephane Emery, Luca Benini
While the accuracy of convolutional neural networks has achieved vast improvements by introducing larger and deeper network architectures, also the memory footprint for storing the…
Robustifying the Deployment of tinyML Models for Autonomous mini-vehicles
Miguel de Prado, Manuele Rusci, Romain Donze +4
Standard-size autonomous navigation vehicles have rapidly improved thanks to the breakthroughs of deep learning. However, scaling autonomous driving to low-power systems deployed o…
Automated Design Space Exploration for optimised Deployment of DNN on Arm Cortex-A CPUs
Miguel de Prado, Andrew Mundy, Rabia Saeed +3
The spread of deep learning on embedded devices has prompted the development of numerous methods to optimise the deployment of deep neural networks (DNN). Works have mainly focused…
CP2K: An Electronic Structure and Molecular Dynamics Software Package -- Quickstep: Efficient and Accurate Electronic Structure Calculations
Thomas D. Kühne, Marcella Iannuzzi, Mauro Del Ben +36
CP2K is an open source electronic structure and molecular dynamics software package to perform atomistic simulations of solid-state, liquid, molecular and biological systems. It is…
Snitch: A tiny Pseudo Dual-Issue Processor for Area and Energy Efficient Execution of Floating-Point Intensive Workloads
Florian Zaruba, Fabian Schuiki, Torsten Hoefler +1
Data-parallel applications, such as data analytics, machine learning, and scientific computing, are placing an ever-growing demand on floating-point operations per second on emergi…
A back-end, CMOS compatible ferroelectric Field Effect Transistor for synaptic weights
Mattia Halter, Laura Bégon-Lours, Valeria Bragaglia +5
Neuromorphic computing architectures enable the dense co-location of memory and processing elements within a single circuit. This co-location removes the communication bottleneck o…
FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network Inference at the Edge of the Internet of Things
Xiaying Wang, Michele Magno, Lukas Cavigelli +1
The growing number of low-power smart devices in the Internet of Things is coupled with the concept of "Edge Computing", that is moving some of the intelligence, especially machine…
Lithiation-delithiation cycles of amorphous Si nanowires investigated by molecular dynamics simulations
Julien Godet, Teute Bunjaku, Mathieu Luisier
The atomistic mechanisms during lithiation and delithiation of amorphous Si nanowires (-SiNW) have been investigated over cycles by molecular dynamics simulations. First, the Mo…
PULP-NN: Accelerating Quantized Neural Networks on Parallel Ultra-Low-Power RISC-V Processors
Angelo Garofalo, Manuele Rusci, Francesco Conti +2
We present PULP-NN, an optimized computing library for a parallel ultra-low-power tightly coupled cluster of RISC-V processors. The key innovation in PULP-NN is a set of kernels fo…
Ara: A 1 GHz+ Scalable and Energy-Efficient RISC-V Vector Processor with Multi-Precision Floating Point Support in 22 nm FD-SOI
Matheus Cavalcante, Fabian Schuiki, Florian Zaruba +2
In this paper, we present Ara, a 64-bit vector processor based on the version 0.5 draft of RISC-V's vector extension, implemented in GlobalFoundries 22FDX FD-SOI technology. Ara's…
An Open Source and Open Hardware Deep Learning-powered Visual Navigation Engine for Autonomous Nano-UAVs
Daniele Palossi, Francesco Conti, Luca Benini
Nano-size unmanned aerial vehicles (UAVs), with few centimeters of diameter and sub-10 Watts of total power budget, have so far been considered incapable of running sophisticated v…