Software-Defined Number Formats: Bridging the Gap between Performance, Accuracy, and Security

Project Information

SoftNum

Grant agreement ID: 101031148

DOI

10.3030/101031148

Project closed

EC signature date 15 March 2021

Start date 1 September 2022

End date 16 January 2025

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost

€ 224 933,76

EU contribution

€ 224 933,76

Coordinated by

THE QUEEN'S UNIVERSITY OF BELFAST
United Kingdom

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Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Peer reviewed articles (2)

Resource-Efficient Convolutional Networks: A Survey on Model-, Arithmetic-, and Implementation-Level Techniques

Author(s): JunKyu Lee, Lev Mukhanov, Amir Sabbagh Molahosseini, Umar Minhas, Yang Hua, Jesus Martinez del Rincon, Kiril Dichev, Cheol-Ho Hong, Hans Vandierendonck
Published in: ACM Computing Surveys, Issue 55, 2023, Page(s) 1-36, ISSN 0360-0300
Publisher: Association for Computing Machinary, Inc.
DOI: 10.1145/3587095

Software-Defined Number Formats for High-Speed Belief Propagation

Author(s): Amir Sabbagh Molahosseini, JunKyu Lee, Hans Vandierendonck
Published in: IEEE Transactions on Emerging Topics in Computing, 2025, Page(s) 1-14, ISSN 2168-6750
Publisher: IEEE Computer Society
DOI: 10.1109/tetc.2025.3528972

Conference proceedings (2)

Software-defined number formats: bridging the gap between accuracy, performance and security

Author(s): Amir Sabbagh Molahosseini, Hans Vandierendonck
Published in: Novel Architecture and Novel Design Automation Workshop, 2024
Publisher: Imperial College University
DOI: 10.5281/zenodo.14955275

Exploiting Data Redundancy in CKKS Encoding for High-Speed Homomorphic Encryption

Author(s): Amir Sabbagh Molahosseini, Hans Vandierendonck
Published in: Proceedings of the 19th ACM Asia Conference on Computer and Communications Security, 2024, Page(s) 990-1002
Publisher: ACM
DOI: 10.1145/3634737.3656292