Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Zahaf, Houssam Eddine"'
Hard real-time systems like image processing, autonomous driving, etc. require an increasing need of computational power that classical multi-core platforms can not provide, to fulfill with their timing constraints. Heterogeneous Instruction Set Arch
Externí odkaz:
http://arxiv.org/abs/2108.13871
Publikováno v:
In Journal of Systems Architecture May 2024 150
Autor:
Zahaf, Houssam-Eddine, Olmedo, Ignacio Sanudo, Singh, Jayati, Capodieci, Nicola, Faucou, Sebastien
In order to satisfy timing constraints, modern real-time applications require massively parallel accelerators such as General Purpose Graphic Processing Units (GPGPUs). Generation after generation, the number of computing clusters made available in n
Externí odkaz:
http://arxiv.org/abs/2105.10312
Autor:
Zahaf, Houssam-Eddine, Capodieci, Nicola, Cavicchioli, Roberto, Bertogna, Marko, Lipari, Giuseppe
Recent commercial hardware platforms for embedded real-time systems feature heterogeneous processing units and computing accelerators on the same System-on-Chip. When designing complex real-time application for such architectures, the designer needs
Externí odkaz:
http://arxiv.org/abs/1901.02450
Publikováno v:
Proceedings of International Conference on Real-Time Networks and Systems, 2017, 10, pp.1-24
This paper presents a new strategy for scheduling soft real-time tasks on multiple identical cores. The proposed approach is based on partitioned CPU reservations and it uses a reclaiming mechanism to reduce the number of missed deadlines. We introdu
Externí odkaz:
http://arxiv.org/abs/1712.06276
Publikováno v:
In Journal of Systems Architecture March 2017 74:46-60
Publikováno v:
15th Junior Researcher Workshop on Real-Time Computing 2022
15th Junior Researcher Workshop on Real-Time Computing 2022, Jun 2022, Paris, France
15th Junior Researcher Workshop on Real-Time Computing 2022, Jun 2022, Paris, France
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______165::5ab2d30283003db35de18e2580e636be
https://hal.science/hal-03834181
https://hal.science/hal-03834181
Autor:
Zahaf, Houssam-Eddine, Houssam-Eddine, Zahaf, Capodieci, Nicola, Cavicchioli, Roberto, Lipari, Giuseppe, Bertogna, Marko
Publikováno v:
IEEE Transactions on Computers
IEEE Transactions on Computers, Institute of Electrical and Electronics Engineers, 2020, pp.1-1. ⟨10.1109/TC.2020.3023169⟩
IEEE Transactions on Computers, 2020, pp.1-1. ⟨10.1109/TC.2020.3023169⟩
IEEE Transactions on Computers, Institute of Electrical and Electronics Engineers, 2020, pp.1-1. ⟨10.1109/TC.2020.3023169⟩
IEEE Transactions on Computers, 2020, pp.1-1. ⟨10.1109/TC.2020.3023169⟩
Recent commercial hardware platforms for embedded real-time systems feature heterogeneous processing units and computing accelerators on the same System-on-Chip. When designing complex real-time applications for such architectures, the designer is ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dfe3be007717dd8f71305eb78aad27cb
https://hal.archives-ouvertes.fr/hal-02961516
https://hal.archives-ouvertes.fr/hal-02961516
Publikováno v:
The 26th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications
The 26th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, Aug 2020, Seoul, South Korea. ⟨10.4230/LIPIcs.Pre⟩
The 26th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, Aug 2020, Seoul, South Korea. ⟨10.4230/LIPIcs.Pre⟩
International audience; Complex heterogeneous hardware platforms are increasingly used for implementing critical real-time applications like ADAS and autonomous driving. To better support real-time workloads, GPUs have evolved to allow preemption for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::313d4848383363e1274a8f85ca2fc868
https://hal.archives-ouvertes.fr/hal-02077110/document
https://hal.archives-ouvertes.fr/hal-02077110/document
Publikováno v:
Junior Workshop: JRWRTC-Real-Time Networks and Systems 2019
Junior Workshop: JRWRTC-Real-Time Networks and Systems 2019, Nov 2019, Toulouse, France
Junior Workshop: JRWRTC-Real-Time Networks and Systems 2019, Nov 2019, Toulouse, France
International audience; Recent computing platforms combine CPUs with different types of accelerators such as Graphical Processing Units (GPUs) to cope with the increasing computation power needed by complex real-time applications. NVIDIA GPUs are com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3ba3225e1d40c48aa7d39e1298d4c429
https://hal.archives-ouvertes.fr/hal-02408660/file/PRUDA__An_API_for_Time_and_Space_Predictible_Programming_in_NVDIA_GPUS_using_CUDA.pdf
https://hal.archives-ouvertes.fr/hal-02408660/file/PRUDA__An_API_for_Time_and_Space_Predictible_Programming_in_NVDIA_GPUS_using_CUDA.pdf