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PULP-NN: Accelerating Quantized Neural Networks on Parallel
  Ultra-Low-Power RISC-V Processors

PULP-NN: Accelerating Quantized Neural Networks on Parallel Ultra-Low-Power RISC-V Processors

29 August 2019
Angelo Garofalo
Manuele Rusci
Francesco Conti
D. Rossi
Luca Benini
    MQ
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Papers citing "PULP-NN: Accelerating Quantized Neural Networks on Parallel Ultra-Low-Power RISC-V Processors"

20 / 20 papers shown
Title
Optimizing DNN Inference on Multi-Accelerator SoCs at Training-time
Optimizing DNN Inference on Multi-Accelerator SoCs at Training-time
Matteo Risso
Alessio Burrello
Daniele Jahier Pagliari
41
0
0
24 Feb 2025
MLPerf Power: Benchmarking the Energy Efficiency of Machine Learning Systems from Microwatts to Megawatts for Sustainable AI
MLPerf Power: Benchmarking the Energy Efficiency of Machine Learning Systems from Microwatts to Megawatts for Sustainable AI
Arya Tschand
Arun Tejusve Raghunath Rajan
S. Idgunji
Anirban Ghosh
J. Holleman
...
Rowan Taubitz
Sean Zhan
Scott Wasson
David Kanter
Vijay Janapa Reddi
62
3
0
15 Oct 2024
xTern: Energy-Efficient Ternary Neural Network Inference on RISC-V-Based
  Edge Systems
xTern: Energy-Efficient Ternary Neural Network Inference on RISC-V-Based Edge Systems
Georg Rutishauser
Joan Mihali
Moritz Scherer
Luca Benini
26
1
0
29 May 2024
Robust and Efficient Depth-based Obstacle Avoidance for Autonomous
  Miniaturized UAVs
Robust and Efficient Depth-based Obstacle Avoidance for Autonomous Miniaturized UAVs
H. Müller
Vlad Niculescu
T. Polonelli
Michele Magno
Luca Benini
29
29
0
26 Aug 2022
Machine Learning for Microcontroller-Class Hardware: A Review
Machine Learning for Microcontroller-Class Hardware: A Review
Swapnil Sayan Saha
S. Sandha
Mani B. Srivastava
24
118
0
29 May 2022
Ultra-compact Binary Neural Networks for Human Activity Recognition on
  RISC-V Processors
Ultra-compact Binary Neural Networks for Human Activity Recognition on RISC-V Processors
Francesco Daghero
Chenhao Xie
Daniele Jahier Pagliari
Alessio Burrello
Marco Castellano
Luca Gandolfi
A. Calimera
Enrico Macii
M. Poncino
BDL
MQ
24
13
0
25 May 2022
Energy-Efficient Adaptive Machine Learning on IoT End-Nodes With
  Class-Dependent Confidence
Energy-Efficient Adaptive Machine Learning on IoT End-Nodes With Class-Dependent Confidence
Francesco Daghero
Alessio Burrello
Daniele Jahier Pagliari
Luca Benini
Enrico Macii
M. Poncino
16
6
0
07 Apr 2022
TCN Mapping Optimization for Ultra-Low Power Time-Series Edge Inference
TCN Mapping Optimization for Ultra-Low Power Time-Series Edge Inference
Alessio Burrello
Alberto Dequino
Daniele Jahier Pagliari
Francesco Conti
Marcello Zanghieri
Enrico Macii
Luca Benini
M. Poncino
AI4TS
22
7
0
24 Mar 2022
A Heterogeneous In-Memory Computing Cluster For Flexible End-to-End
  Inference of Real-World Deep Neural Networks
A Heterogeneous In-Memory Computing Cluster For Flexible End-to-End Inference of Real-World Deep Neural Networks
Angelo Garofalo
G. Ottavi
Francesco Conti
G. Karunaratne
I. Boybat
Luca Benini
D. Rossi
25
31
0
04 Jan 2022
Shifting Capsule Networks from the Cloud to the Deep Edge
Shifting Capsule Networks from the Cloud to the Deep Edge
Miguel Costa
Diogo Costa
T. Gomes
Sandro Pinto
16
5
0
06 Oct 2021
PhiNets: a scalable backbone for low-power AI at the edge
PhiNets: a scalable backbone for low-power AI at the edge
Francesco Paissan
Alberto Ancilotto
Elisabetta Farella
26
32
0
01 Oct 2021
Auto-Split: A General Framework of Collaborative Edge-Cloud AI
Auto-Split: A General Framework of Collaborative Edge-Cloud AI
Amin Banitalebi-Dehkordi
Naveen Vedula
J. Pei
Fei Xia
Lanjun Wang
Yong Zhang
22
89
0
30 Aug 2021
Enabling Design Methodologies and Future Trends for Edge AI:
  Specialization and Co-design
Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Co-design
Cong Hao
Jordan Dotzel
Jinjun Xiong
Luca Benini
Zhiru Zhang
Deming Chen
50
34
0
25 Mar 2021
Sound Event Detection with Binary Neural Networks on Tightly
  Power-Constrained IoT Devices
Sound Event Detection with Binary Neural Networks on Tightly Power-Constrained IoT Devices
G. Cerutti
Renzo Andri
Lukas Cavigelli
Michele Magno
Elisabetta Farella
Luca Benini
MQ
21
37
0
12 Jan 2021
Hardware and Software Optimizations for Accelerating Deep Neural
  Networks: Survey of Current Trends, Challenges, and the Road Ahead
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead
Maurizio Capra
Beatrice Bussolino
Alberto Marchisio
Guido Masera
Maurizio Martina
Muhammad Shafique
BDL
56
140
0
21 Dec 2020
Always-On 674uW @ 4GOP/s Error Resilient Binary Neural Networks with
  Aggressive SRAM Voltage Scaling on a 22nm IoT End-Node
Always-On 674uW @ 4GOP/s Error Resilient Binary Neural Networks with Aggressive SRAM Voltage Scaling on a 22nm IoT End-Node
Alfio Di Mauro
Francesco Conti
Pasquale Davide Schiavone
D. Rossi
Luca Benini
19
9
0
17 Jul 2020
Robustifying the Deployment of tinyML Models for Autonomous
  mini-vehicles
Robustifying the Deployment of tinyML Models for Autonomous mini-vehicles
Miguel de Prado
Manuele Rusci
Romain Donze
Alessandro Capotondi
Serge Monnerat
Luca Benini and
Nuria Pazos
17
39
0
01 Jul 2020
Q-EEGNet: an Energy-Efficient 8-bit Quantized Parallel EEGNet
  Implementation for Edge Motor-Imagery Brain--Machine Interfaces
Q-EEGNet: an Energy-Efficient 8-bit Quantized Parallel EEGNet Implementation for Edge Motor-Imagery Brain--Machine Interfaces
Tibor Schneider
Xiaying Wang
Michael Hersche
Lukas Cavigelli
Luca Benini
11
24
0
24 Apr 2020
Benchmarking TinyML Systems: Challenges and Direction
Benchmarking TinyML Systems: Challenges and Direction
Colby R. Banbury
Vijay Janapa Reddi
Max Lam
William Fu
A. Fazel
...
Jae-sun Seo
Jeff Sieracki
Urmish Thakker
Marian Verhelst
Poonam Yadav
100
228
0
10 Mar 2020
A 64mW DNN-based Visual Navigation Engine for Autonomous Nano-Drones
A 64mW DNN-based Visual Navigation Engine for Autonomous Nano-Drones
Daniele Palossi
Antonio Loquercio
Francesco Conti
Eric Flamand
Davide Scaramuzza
Luca Benini
171
158
0
04 May 2018
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