Approximate Computing for Power and Energy Optimisation

Project Information

APROPOS

Grant agreement ID: 956090

DOI 10.3030/956090

EC signature date 17 August 2020

Start date 1 November 2020

End date 31 October 2024

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost € 4 095 308,16

EU contribution € 4 095 308,16

Coordinated by

TAMPEREEN KORKEAKOULUSAATIO SR
Finland

Deliverables

Websites, patent fillings, videos etc. (1)

Project website

Project website established

Documents, reports (1)

Intermediate List of Publications, first 18 months

Intermediate List of Publications first 18 months

Other (1)

Press release on the network launch (after recruitments)

Publications

Peer reviewed articles (7)

A Survey on Low-Power GNSS

Author(s): Grenier, Antoine; Lohan, Elena Simona; Ometov, Aleksandr; Nurmi, Jari
Published in: IEEE Communications Surveys & Tutorials, Issue Volume: 25, Issue: 3, thirdquarter 2023, 2023, ISSN 1553-877X
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/comst.2023.3265841

Adaptive approximate computing in edge AI and IoT applications: A review

Author(s): Hans Jakob Damsgaard, Antoine Grenier, Dewant Katare, Zain Taufique, Salar Shakibhamedan, Tiago Troccoli, Georgios Chatzitsompanis, Anil Kanduri, Aleksandr Ometov, Aaron Yi Ding, Nima Taherinejad, Georgios Karakonstantis, Roger Woods, Jari Nurmi
Published in: Journal of Systems Architecture, Issue Volume 150, May 2024, 103114, 2024, ISSN 1383-7621
Publisher: Elsevier BV
DOI: 10.1016/j.sysarc.2024.103114

Approximate computing in B5G and 6G wireless systems : A survey and future outlook

Author(s): Damsgaard, Hans Jakob; Ometov, Aleksandr; Mowla, Md Munjure; Flizikowski, Adam; Nurmi, Jari
Published in: Computer Networks, Issue Volume 233, September 2023, 109872, 2023, ISSN 1389-1286
Publisher: Elsevier BV
DOI: 10.1016/j.comnet.2023.109872

A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving Services

Author(s): Katare, Dewant; Perino, Diego; Nurmi, Jari; Warnier, Martijn; Janssen, Marijn; Ding, Aaron Yi
Published in: IEEE Communications Surveys & Tutorials, Issue Volume: 25, Issue: 4, Fourthquarter 2023, 2023, ISSN 1553-877X
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/comst.2023.3302474

Hard SyDR: A Benchmarking Environment for Global Navigation Satellite System Algorithms

Author(s): Antoine Grenier; Jie Lei; Hans Jakob Damsgaard; Enrique S. Quintana-Ortí; Aleksandr Ometov; Elena Simona Lohan; Jari Nurmi
Published in: Sensors, Vol 24, Iss 2, p 409, Issue 5, 2024, ISSN 1424-8220
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s24020409

Towards Smarter Positioning through Analyzing Raw GNSS and Multi-Sensor Data from Android Devices: A Dataset and an Open-Source Application

Author(s): Grenier, Antoine; Lohan, Elena Simona; Ometov, Aleksandr; Nurmi, Jari
Published in: Electronics, Issue 16, 2023, ISSN 2079-9292
Publisher: MDPI
DOI: 10.3390/electronics12234781

Approximation Opportunities in Edge Computing Hardware: A Systematic Literature Review

Author(s): Damsgaard, Hans Jakob; Ometov, Aleksandr; Nurmi, Jari
Published in: ACM Computing Surveys, 2022, ISSN 0360-0300
Publisher: Association for Computing Machinary, Inc.
DOI: 10.1145/3572772

Conference proceedings (9)

An Open-Source Software-Defined Receiver for GNSS Algorithms Benchmarking

Author(s): Grenier, Antoine; Lohan, Elena-Simona; Ometov, Aleksandr; Nurmi, Jari
Published in: 14th International Congress on Ultra Modern Telecommunications and Control Systems (ICUMT), 2022
Publisher: IEEE
DOI: 10.1109/ICUMT57764.2022.9943489

Energy-aware Adaptive Approximate Computing for Deep Learning Applications

Author(s): Nima TaheriNejad; Salar Shakibhamedan
Published in: IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 2022
Publisher: IEEE
DOI: 10.1109/ISVLSI54635.2022.00072

Prediction of the Impact of Approximate Computing on Spiking Neural Networks via Interval Arithmetic

Author(s): Saeedi, Sepide; Carpegna, Alessio; Savino, Alessandro; Di Carlo, Stefano
Published in: 2022 IEEE 23rd Latin American Test Symposium (LATS), 2022, ISBN 978-1-6654-5707-1
Publisher: IEEE
DOI: 10.1109/LATS57337.2022.9936999

Implementation of Embedded Multiple Signal Classification Algorithm for Mesh IoT Networks

Author(s): Tiago Troccoli, Juho Pirskanen, Aleksandr Ometov, Jari Nurmi, Ville Kaseva
Published in: International Conference on Localization and GNSS, 2022
Publisher: IEEE
DOI: 10.1109/icl-gnss54081.2022.9797023

Precision Tuning in Parallel Applications

Author(s): Magnani, Gabriele; Denisov, Lev; Cattaneo, Daniele; Agosta, Giovanni
Published in: Open Access Series in Informatics (OASIcs), 2022, Page(s) 5:1-5:9, ISBN 978-3-95977-231-0
Publisher: Schloss Dagstuhl – Leibniz-Zentrum für Informatik
DOI: 10.4230/OASIcs.PARMA-DITAM.2022.5

Spiking Neural Network Data Reduction via Interval Arithmetic

Author(s): saeedi, sepide; Carpegna, Alessio; Savino, Alessandro; Di Carlo, Stefano
Published in: Silicon Errors in Logic – System Effects (SELSE) Workshop, 2022
Publisher: IEEE
DOI: 10.5281/zenodo.6581443

Towards Coarse-Grained Reconfigurable Approximate Computing with CGRAgen

Author(s): Damsgaard, Hans Jakob; Ometov, Aleksandr; Nurmi, Jari
Published in: 33rd International Conference on Field-Programmable Logic and Applications (FPL), Issue 361-362, 2023, ISBN 979-8-3503-4151-5
Publisher: IEEE
DOI: 10.1109/fpl60245.2023.00067

Hardware and Software Support for Mixed Precision Computing: a Roadmap for Embedded and HPC Systems

Author(s): Fornaciari W.; Agosta G.; Cattaneo D.; Denisov L.; Galimberti A.; Magnani G.; Zoni D.
Published in: Design, Automation & Test in Europe Conference & Exhibition (DATE), Issue 23, 2023, ISBN 979-8-3503-9624-9
Publisher: IEEE
DOI: 10.23919/date56975.2023.10137092

Input-Aware Approximate Computing

Author(s): Ali Piri; Sepide Saeedi; Mario Barbareschi; Bastien Deveautour; Stefano Di Carlo; Ian O'Connor; Alessandro Savino; Marcello Traiola; Alberto Bosio
Published in: 2022 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR), 2022, ISBN 978-1-6654-7933-2
Publisher: IEEE
DOI: 10.1109/aqtr55203.2022.9801944

Book chapters (2)

Mixed Precision in Heterogeneous Parallel Computing Platforms via Delayed Code Analysis

Author(s): Daniele Cattaneo, Alberto Maggioli, Gabriele Magnani, Lev Denisov, Shufan Yang, Giovanni Agosta, Stefano Cherubin
Published in: Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS 2023) - LNCS, Issue 14385, 2023, ISSN 0302-9743
Publisher: Springer Verlag
DOI: 10.1007/978-3-031-46077-7_33

GEMM-Like Convolution for Deep Learning Inference on the Xilinx Versal

Author(s): Lei, Jie; Martínez, Héctor; Flich, José; Quintana-Ortí, Enrique S.
Published in: Lecture Notes in Computer Science, Issue 13999, 2023, ISSN 1611-3349
Publisher: Springer
DOI: 10.1007/978-3-031-40843-4_44