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Hamid Tabani
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2020 – today
- 2023
- [j9]Martí Caro, Hamid Tabani, Jaume Abella, Francesc Moll, Enric Morancho, Ramon Canal, Josep Altet, Antonio Calomarde, Francisco J. Cazorla, Antonio Rubio, Pau Fontova, Jordi Fornt:
An automotive case study on the limits of approximation for object detection. J. Syst. Archit. 138: 102872 (2023) - [j8]Miguel Alcon, Hamid Tabani, Jaume Abella, Francisco J. Cazorla:
Dynamic and execution views to improve validation, testing, and optimization of autonomous driving software. Softw. Qual. J. 31(2): 405-439 (2023) - [j7]Roger Pujol, Josep Jorba, Hamid Tabani, Leonidas Kosmidis, Enrico Mezzetti, Jaume Abella, Francisco J. Cazorla:
Vector Extensions in COTS Processors to Increase Guaranteed Performance in Real-Time Systems. ACM Trans. Embed. Comput. Syst. 22(2): 21:1-21:26 (2023) - [c19]Roger Pujol, Mohamed Hassan, Hamid Tabani, Jaume Abella, Francisco Javier Cazorla-Almeida:
Tracking Coherence-Related Contention Delays in Real-Time Multicore Systems. SAC 2023: 461-470 - [i5]Martí Caro, Hamid Tabani, Jaume Abella:
At-Scale Evaluation of Weight Clustering to Enable Energy-Efficient Object Detection. CoRR abs/2302.14426 (2023) - [i4]Martí Caro, Hamid Tabani, Jaume Abella, Francesc Moll, Enric Morancho, Ramon Canal, Josep Altet, Antonio Calomarde, Francisco J. Cazorla, Antonio Rubio, Pau Fontova, Jordi Fornt:
An Automotive Case Study on the Limits of Approximation for Object Detection. CoRR abs/2304.06327 (2023) - 2022
- [j6]Hamid Tabani, Roger Pujol, Miguel Alcon, Joan Moya, Jaume Abella, Francisco J. Cazorla:
ADBench: benchmarking autonomous driving systems. Computing 104(3): 481-502 (2022) - [j5]Martí Caro, Hamid Tabani, Jaume Abella:
At-scale evaluation of weight clustering to enable energy-efficient object detection. J. Syst. Archit. 129: 102635 (2022) - [c18]Javier Barrera, Leonidas Kosmidis, Hamid Tabani, Jaume Abella, Francisco J. Cazorla:
Contention Tracking in GPU Last-Level Cache. ICCD 2022: 76-79 - [c17]Martí Caro, Hamid Tabani, Jaume Abella:
At-scale assessment of weight clustering for energy-efficient object detection accelerators. SAC 2022: 530-533 - 2021
- [j4]Hamid Tabani, Fabio Mazzocchetti, Pedro Benedicte, Jaume Abella, Francisco J. Cazorla:
Performance Analysis and Optimization Opportunities for NVIDIA Automotive GPUs. J. Parallel Distributed Comput. 152: 21-32 (2021) - [j3]Elisa Castelli, Enzo Papandrea, Alessio Di Roma, Ilaria Bloise, Mattia Varile, Hamid Tabani, Jean-Philippe Gastellu-Etchegorry, Lorenzo Feruglio:
Deep Learning Application to Surface Properties Retrieval Using TIR Measurements: A Fast Forward/Reverse Scheme to Deal with Big Data Analysis from New Satellite Generations. Remote. Sens. 13(24): 5003 (2021) - [c16]Roger Pujol, Hamid Tabani, Jaume Abella, Mohamed Hassan, Francisco J. Cazorla:
Empirical Evidence for MPSoCs in Critical Systems: The Case of NXP's T2080 Cache Coherence. DATE 2021: 1162-1165 - [c15]Miguel Alcon, Hamid Tabani, Jaume Abella, Francisco J. Cazorla:
Enabling Unit Testing of Already-Integrated AI Software Systems: The Case of Apollo for Autonomous Driving. DSD 2021: 426-433 - [c14]Hamid Tabani, Ajay Balasubramaniam, Shabbir Marzban, Elahe Arani, Bahram Zonooz:
Improving the Efficiency of Transformers for Resource-Constrained Devices. DSD 2021: 449-456 - [i3]Hamid Tabani, Fabio Mazzocchetti, Pedro Benedicte, Jaume Abella, Francisco J. Cazorla:
Performance Analysis and Optimization Opportunities for NVIDIA Automotive GPUs. CoRR abs/2104.07735 (2021) - [i2]Hamid Tabani, Ajay Balasubramaniam, Elahe Arani, Bahram Zonooz:
Challenges and Obstacles Towards Deploying Deep Learning Models on Mobile Devices. CoRR abs/2105.02613 (2021) - [i1]Hamid Tabani, Ajay Balasubramaniam, Shabbir Marzban, Elahe Arani, Bahram Zonooz:
Improving the Efficiency of Transformers for Resource-Constrained Devices. CoRR abs/2106.16006 (2021) - 2020
- [c13]Hamid Tabani, Roger Pujol, Jaume Abella, Francisco J. Cazorla:
A Cross-Layer Review of Deep Learning Frameworks to Ease Their Optimization and Reuse. ISORC 2020: 144-145 - [c12]Miguel Alcon, Hamid Tabani, Leonidas Kosmidis, Enrico Mezzetti, Jaume Abella, Francisco J. Cazorla:
Timing of Autonomous Driving Software: Problem Analysis and Prospects for Future Solutions. RTAS 2020: 267-280 - [c11]Sergi Vilardell, Isabel Serra, Hamid Tabani, Jaume Abella, Joan del Castillo, Francisco J. Cazorla:
CleanET: enabling timing validation for complex automotive systems. SAC 2020: 554-563 - [c10]Hamid Tabani, Matteo Fusi, Leonidas Kosmidis, Jaume Abella, Francisco J. Cazorla:
IntPred: flexible, fast, and accurate object detection for autonomous driving systems. SAC 2020: 564-571 - [c9]Javier Barrera, Leonidas Kosmidis, Hamid Tabani, Enrico Mezzetti, Jaume Abella, Mikel Fernández, Guillem Bernat, Francisco J. Cazorla:
On the reliability of hardware event monitors in MPSoCs for critical domains. SAC 2020: 580-589 - [c8]Miguel Alcon, Hamid Tabani, Jaume Abella, Leonidas Kosmidis, Francisco J. Cazorla:
En-Route: on enabling resource usage testing for autonomous driving frameworks. SAC 2020: 1953-1962
2010 – 2019
- 2019
- [c7]Hamid Tabani, Leonidas Kosmidis, Jaume Abella, Francisco J. Cazorla, Guillem Bernat:
Assessing the Adherence of an Industrial Autonomous Driving Framework to ISO 26262 Software Guidelines. DAC 2019: 9 - [c6]Roger Pujol, Hamid Tabani, Leonidas Kosmidis, Enrico Mezzetti, Jaume Abella, Francisco J. Cazorla:
Generating and Exploiting Deep Learning Variants to Increase Heterogeneous Resource Utilization in the NVIDIA Xavier. ECRTS 2019: 23:1-23:23 - [c5]Fabio Mazzocchetti, Pedro Benedicte, Hamid Tabani, Leonidas Kosmidis, Jaume Abella, Francisco J. Cazorla:
Performance Analysis and Optimization of Automotive GPUs. SBAC-PAD 2019: 96-103 - 2018
- [b1]Hamid Tabani:
Low-power architectures for automatic speech recognition. Polytechnic University of Catalonia, Spain, 2018 - [j2]Sergi Alcaide, Leonidas Kosmidis, Hamid Tabani, Carles Hernández, Jaume Abella, Francisco J. Cazorla:
Safety-Related Challenges and Opportunities for GPUs in the Automotive Domain. IEEE Micro 38(6): 46-55 (2018) - [j1]Hamid Tabani, José-María Arnau, Jordi Tubella, Antonio González:
Performance Analysis and Optimization of Automatic Speech Recognition. IEEE Trans. Multi Scale Comput. Syst. 4(4): 847-860 (2018) - [c4]Hamid Tabani, José-María Arnau, Jordi Tubella, Antonio González:
A Novel Register Renaming Technique for Out-of-Order Processors. HPCA 2018: 259-270 - 2017
- [c3]Hamid Tabani, José-María Arnau, Jordi Tubella, Antonio González:
An Ultra Low-Power Hardware Accelerator for Acoustic Scoring in Speech Recognition. PACT 2017: 41-52 - 2013
- [c2]Hamid Reza Faragardi, Reza Shojaee, Hamid Tabani, Aboozar Rajabi:
An analytical model to evaluate reliability of cloud computing systems in the presence of QoS requirements. ICIS 2013: 315-321 - [c1]Hamid Reza Faragardi, Reza Shojaee, Mohammad Amin Keshtkar, Hamid Tabani:
Optimal task allocation for maximizing reliability in distributed real-time systems. ICIS 2013: 513-519
Coauthor Index
aka: Francisco Javier Cazorla-Almeida
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