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ESL | Embedded Systems Laboratory
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ESL | Embedded Systems Laboratory
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Lab
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Research
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Accelerators
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Analog in memory cores
Coarse-Grained Reconfigurable Arrays
Hardware Accelerators for Posit Arithmetic
Sustainable computing for SKAO
Cloud infrastructure management
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Performance prediction
Digital Twins
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DIGIPREDICT: multi-biosignals processing for cardiovascular conditions
UrbanTwin
Edge artificial intelligence
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E2CNN: ensembles of CNN
Efficient federated learning
HDTorch – a PyTorch-based library for HyperDimensional Computing
Neural Network Quantization and Pruning
Emerging memory technologies
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Analog in memory cores
Energy-efficient computing
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Containergy
Epilepsy Monitoring
Federated machine learning over fog/edge/cloud architectures
Full system simulation and design
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gem5-X: gem5 made easy
gXr5: system-level simulation of RISC-V architectures
Near-DRAM processors
Systolic Array Accelerators for Transformers
WiPLASH: In-package Wireless Links
In and near-memory computing
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Blade bit-line computing
in-SRAM computing
Near memory computing
Software-defined SIMD
Personalized health
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BiomedBench
Coughvid
Epilepsy Monitoring
Health and wellness monitoring
Physiological data processing
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Bonsai: cough monitoring device
DIGIPREDICT: multi-biosignals processing for cardiovascular conditions
Efficient federated learning
Sparse sampling of bio-signals
Smart Wearables
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Bonsai: cough monitoring device
Epilepsy Monitoring
Inmodi smart wearable platform for joint health
Space Applications
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Sustainable computing for SKAO
Embedded AI for aerospatial navigation
Systems-on-Chip
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HEEPocrates, a tsmc65 implementation of X-HEEP
ML-enabled IoT devices and embedded AI
x-heep: an open-hardware RISC-V system-on-chip
Thermal modelling
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3D-ICE – 3D Interlayer Cooling Emulator
Fuel Cell Arrays: liquid cooling and power delivery
Heterogeneous architectures for HPC applications
Thermal-aware design of 2D/3D MPSoCs
Flagship Projects
Open Source Tools
Open Source Datasets
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A Multimodal Dataset for Automatic Edge-AI Cough Detection
ECG in High Intensity Exercise Dataset
ReBeatICG database
Synthetic realistic noise-corrupted PPG database and noise generator for the evaluation of PPG denoising and delineation algorithms
The COUGHVID crowdsourcing dataset: a corpus for the study of large-scale cough analysis algorithms
Funding
Teaching
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Design and Optimization of Internet-of-Things Systems [en]
Systèmes embarqués microprogrammés [fr/en]
TP on Conception de systèmes numériques [fr/en]
Lab on apps development for tablets, smartphones and smartwatches [en]
Archives
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Funding Archive
Past Projects
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Efficient design and management of servers and data centers
Back: Efficient design and management of servers and data centers
Power-aware acceleration of Deep Learning (DL) training and inference on High-Performance Computing (HPC) servers
Resource management from the edge to the cloud and efficient simulation of Internet-of-Things (IoT) scenarios for Artificial Intelligence (AI) applications
Energy-efficient algorithms and machine learning
Back: Energy-efficient algorithms and machine learning
Automatic Optimization Flow for Facebook’s Deep Learning Recommendation Model
Multimodal and personalised methods for health and wellness monitoring
System-level design and optimisation of IoT and wearable devices
Thermal, power and performance aware design of 2D/3D system-on-chip architectures
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Novel in-memory computing accelerators for Machine Learning (ML) on the edge
Full-system integration of open-hardware RISC-V based architectures with novel interconnect technologies
Energy-efficient embedded machine learning
Hardware-Software co-design and optimization of System-on-Chip platforms for IoT
ML-enabled IoT devices and embedded AI
System-level design of wireless body sensor networks
Thermal-Aware Design and Management of Heterogeneous 2D/3D Many-Core Servers
Open Source Software Projects
Past Teaching Courses
News Archive
Student Projects
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Past Student Projects
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