activity
20162023
most citedPULP-NN: Accelerating Quantized Neural Networks on Parallel Ultra-Low-Power RISC-V Processors

136 citations · 925 across the 40 of their papers we have counts for

collaborators
Showing 2022Show all

8 papers · 1 filter

cs.AR2022★ 17 cited

HULK-V: a Heterogeneous Ultra-low-power Linux capable RISC-V SoC

Luca Valente, Yvan Tortorella, Mattia Sinigaglia +4

IoT applications span a wide range in performance and memory footprint, under tight cost and power constraints. High-end applications rely on power-hungry Systems-on-Chip (SoCs) fe…

cs.DC2022

End-to-End DNN Inference on a Massively Parallel Analog In Memory Computing Architecture

Nazareno Bruschi, Giuseppe Tagliavini, Angelo Garofalo +4

The demand for computation resources and energy efficiency of Convolutional Neural Networks (CNN) applications requires a new paradigm to overcome the "Memory Wall". Analog In-Memo…

cs.AR2022

Kraken: A Direct Event/Frame-Based Multi-sensor Fusion SoC for Ultra-Efficient Visual Processing in Nano-UAVs

Alfio Di Mauro, Moritz Scherer, Davide Rossi +1

Small-size unmanned aerial vehicles (UAV) have the potential to dramatically increase safety and reduce cost in applications like critical infrastructure maintenance and post-disas…

cs.AR2022

Scale up your In-Memory Accelerator: Leveraging Wireless-on-Chip Communication for AIMC-based CNN Inference

Nazareno Bruschi, Giuseppe Tagliavini, Francesco Conti +7

Analog In-Memory Computing (AIMC) is emerging as a disruptive paradigm for heterogeneous computing, potentially delivering orders of magnitude better peak performance and efficienc…

cs.AR2022★ 1 cited

RedMulE: A Compact FP16 Matrix-Multiplication Accelerator for Adaptive Deep Learning on RISC-V-Based Ultra-Low-Power SoCs

Yvan Tortorella, Luca Bertaccini, Davide Rossi +2

The fast proliferation of extreme-edge applications using Deep Learning (DL) based algorithms required dedicated hardware to satisfy extreme-edge applications' latency, throughput,…

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…