Efficient Implementation of Neural Networks Usual Layers on Fixed-Point Architectures-Reference-Cited by-同舟云学术

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Efficient Implementation of Neural Networks Usual Layers on Fixed-Point Architectures

Published:2024-06-20 Issue: Volume:885 Page:12-22
ISSN:
Container-title:Proceedings of the 25th ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems
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Author:

Ben Khalifa Dorra¹^ORCID,Martel Matthieu²^ORCID

Affiliation:

1. Fédération ENAC ISAE-SUPAERO ONERA - Université de Toulouse, Toulouse, France

2. University of Peprignan, Perpignan, France

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3652032.3657578

Reference23 articles.

1. 2008. IEEE Standard for Binary Floating-point Arithmetic.

2. Clark W. Barrett, Roberto Sebastiani, Sanjit A. Seshia, and Cesare Tinelli. 2009. Satisfiability Modulo Theories. In Handbook of Satisfiability (Frontiers in Artificial Intelligence and Applications, Vol. 185). IOS Press, 825–885.

3. Dorra Ben Khalifa and Matthieu Martel. 2022. Constrained Precision Tuning. In 8th International Conference on Control, Decision and Information Technologies, CoDIT. 230–236.

4. Dorra Ben Khalifa and Matthieu Martel. 2023. On the Functional Properties of Automatically Generated Fixed-Point Controllers. In 9th International Conference on Control, Decision and Information Technologies, CoDIT. IEEE, 786–791.

5. Code Generation For Neural Networks Based On Fixed-Point Arithmetic

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