activity
20162026
most citedAn IoT Endpoint System-on-Chip for Secure and Energy-Efficient Near-Sensor Analytics

116 citations · 165 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AR2026

Bio-inspired Learning and Decision-Making with Probabilistic In-Memory Computing Hardware: Part 2

Thomas Dalgaty, Eiji Kawasaki, Miguel de Prado +3

This report extends our previous work (Part 1), which introduced an energy-based model for learning and decision-making under uncertainty. The model leverages stochastic Langevin d…

cs.AR2026

Accelerating Precise End-to-End Simulation: Latency-Sensitive Many-core System Modeling

Yinrong Li, Zexin Fu, Yichao Zhang +5

Modern large language model workloads put increasing demands on parallel compute capability and on-chip memory capacity, while also stressing fine-grained data movement and synchro…

eess.SY2024★ 4 cited

Integrating SystemC-AMS Power Modeling with a RISC-V ISS for Virtual Prototyping of Battery-operated Embedded Devices

Mohamed Amine Hamdi, Giovanni Pollo, Matteo Risso +6

RISC-V cores have gained a lot of popularity over the last few years. However, being quite a recent and novel technology, there is still a gap in the availability of comprehensive…

eess.SY2022★ 45 cited

GVSoC: A Highly Configurable, Fast and Accurate Full-Platform Simulator for RISC-V based IoT Processors

Nazareno Bruschi, Germain Haugou, Giuseppe Tagliavini +3

The last few years have seen the emergence of IoT processors: ultra-low power systems-on-chips (SoCs) combining lightweight and flexible micro-controller units (MCUs), often based…

cs.AR2020

Energy-Efficient Hardware-Accelerated Synchronization for Shared-L1-Memory Multiprocessor Clusters

Florian Glaser, Giuseppe Tagliavini, Davide Rossi +3

The steeply growing performance demands for highly power- and energy-constrained processing systems such as end-nodes of the internet-of-things (IoT) have led to parallel near-thre…

cs.AR2016★ 116 cited

An IoT Endpoint System-on-Chip for Secure and Energy-Efficient Near-Sensor Analytics

Francesco Conti, Robert Schilling, Pasquale Davide Schiavone +9

Near-sensor data analytics is a promising direction for IoT endpoints, as it minimizes energy spent on communication and reduces network load - but it also poses security concerns,…