Zobrazeno 1 - 10 of 32 pro vyhledávání: '"Kaoutar El Maghraoui"'
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Akademický článek
Using the IBM analog in-memory hardware acceleration kit for neural network training and inference
Autor: Manuel Le Gallo, Corey Lammie, Julian Büchel, Fabio Carta, Omobayode Fagbohungbe, Charles Mackin, Hsinyu Tsai, Vijay Narayanan, Abu Sebastian, Kaoutar El Maghraoui, Malte J. Rasch
Publikováno v: APL Machine Learning, Vol 1, Iss 4, Pp 041102-041102-36 (2023)
Analog In-Memory Computing (AIMC) is a promising approach to reduce the latency and energy consumption of Deep Neural Network (DNN) inference and training. However, the noisy and non-linear device characteristics and the non-ideal peripheral circuitr
Externí odkaz: https://doaj.org/article/fa2ca9179db74df2aabd9c81cc0a6597
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2
Multi-objective Hardware-aware Neural Architecture Search with Pareto Rank-preserving Surrogate Models
Autor: Hadjer Benmeziane, Hamza Ouarnoughi, Kaoutar El Maghraoui, Smail Niar
Publikováno v: ACM Transactions on Architecture and Code Optimization. 20:1-21
Deep learning (DL) models such as convolutional neural networks (ConvNets) are being deployed to solve various computer vision and natural language processing tasks at the edge. It is a challenge to find the right DL architecture that simultaneously
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c1bf4451f0fceecfed2f3b65b2a66808
https://doi.org/10.1145/3579853
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8
Toward an Enterprise-ready Composable Infrastructure as a Service
Autor: Lorraine M. Herger, I-Hsin Chung, Todd Deshane, Kim Tran, Chekuri Choudary, Kaoutar El Maghraoui
Publikováno v: SCC
A composable infrastructure is defined as resources such as compute, storage, accelerators, and networking, that are shared in a pool and that can be grouped in different configurations to varying meet business requirements. In this paper, we explore
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0b286ec48605f6a1b537fc3530dd7e79
https://doi.org/10.1109/scc53864.2021.00024
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9
Accelerating Neural Architecture Search with Rank-Preserving Surrogate Models
Autor: Smail Niar, Hamza Ouarnoughi, Kaoutar El Maghraoui, Hadjer Benmeziane
Publikováno v: 7th International Conference on Arab Women in Computing
7th International Conference on Arab Women in Computing, Aug 2021, Sharja, United Arab Emirates
ArabWIC
Over the past years, deep learning has enabled significant progress in several tasks, such as image recognition, speech recognition and language modelling. Novel Neural architectures are behind this achievement. However, manually designing these arch
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a9c331f8248aa2075b324e14db38342
https://hal-uphf.archives-ouvertes.fr/hal-03379648
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10
Hardware-Aware Neural Architecture Search: Survey and Taxonomy
Autor: Hamza Ouarnoughi, Hadjer Benmeziane, Kaoutar El Maghraoui, Martin Wistuba, Naigang Wang, Smail Niar
Publikováno v: Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}
Thirtieth International Joint Conference on Artificial Intelligence, Aug 2021, Montreal, Canada. pp.4322-4329, ⟨10.24963/ijcai.2021/592⟩
IJCAI
International audience; There is no doubt that making AI mainstream by bringing powerful, yet power hungry deep neural networks (DNNs) to resource-constrained devices would required an efficient co-design of algorithms, hardware and software. The inc
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f181376173073a4b8c53f902c965bb73
https://hal-uphf.archives-ouvertes.fr/hal-03379694
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