BERTOGNA, Marko

BERTOGNA, Marko  

Dipartimento di Scienze Fisiche, Informatiche e Matematiche  

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Adaptive coordination in autonomous driving: Motivations and perspectives 1-gen-2017 Bertogna, Marko; Burgio, Paolo; Cabri, Giacomo; Capodieci, Nicola
All you can embed: Natural language based vehicle retrieval with spatio-temporal transformers 1-gen-2021 Scribano, C.; Sapienza, D.; Franchini, G.; Verucchi, M.; Bertogna, M.
An Implementation of the Earliest Deadline First Algorithm in Linux 1-gen-2009 D., Faggioli; M., Trimarchi; F., Checconi; Bertogna, Marko; A., Mancina
An analysis of lazy and eager limited preemption approaches under DAG-based global fixed priority scheduling 1-gen-2017 Serrano, M. A.; Melani, A.; Kehr, S.; Bertogna, M.; Quinones, E.
Analytical Characterization of End-to-End Communication Delays With Logical Execution Time 1-gen-2018 Martinez, J.; Sanudo, I.; Bertogna, M.
BAO: A lightweight static partitioning hypervisor for modern multi-core embedded systems 1-gen-2020 Martins, J.; Tavares, A.; Solieri, M.; Bertogna, M.; Pinto, S.
Big data analytics for smart cities: The H2020 CLASS project 1-gen-2018 Quinones, E.; Bertogna, M.; Hadad, E.; Ferrer, A. J.; Chiantore, L.; Reboa, A.
Bounding the Maximum Length of Non-Preemptive Regions Under Fixed Priority Scheduling 1-gen-2009 G., Yao; G., Buttazzo; Bertogna, Marko
Comparative evaluation of limited preemptive methods 1-gen-2010 G., Yao; G., Buttazzo; Bertogna, Marko
Contending memory in heterogeneous SoCs: Evolution in NVIDIA Tegra embedded platforms 1-gen-2020 Capodieci, N.; Cavicchioli, R.; Olmedo, I. S.; Solieri, M.; Bertogna, M.
Convolutional Neural Networks on Embedded Automotive Platforms: A Qualitative Comparison 1-gen-2018 Brilli, Gianluca; Burgio, Paolo; Bertogna, Marko
Deadline-Based Scheduling for GPU with Preemption Support 1-gen-2019 Capodieci, N.; Cavicchioli, R.; Bertogna, M.; Paramakuru, A.
Deep Image Prior for medical image denoising, a study about parameter initialization 1-gen-2022 Sapienza, Davide; Franchini, Giorgia; Govi, Elena; Bertogna, Marko; Prato, Marco
Deep learning-assisted analysis of automobiles handling performances 1-gen-2022 Sapienza, Davide; Paganelli, Davide; Prato, Marco; Bertogna, Marko; Spallanzani, Matteo
A design flow for supporting component-based software development in multiprocessor real-time systems 1-gen-2018 Biondi, A.; Buttazzo, G.; Bertogna, M.
Deterministic memory hierarchy and virtualization for modern multi-core embedded systems 1-gen-2019 Kloda, Tomasz; Solieri, M.; Mancuso, R.; Capodieci, N.; Valente, P.; Bertogna, M.
Dissecting the CUDA scheduling hierarchy: A Performance and Predictability Perspective 1-gen-2020 Olmedo, I. S.; Capodieci, N.; Martinez, J. L.; Marongiu, A.; Bertogna, M.
EDZL scheduling analysis 1-gen-2008 T. P., Baker; M., Cirinei; Bertogna, Marko
End-to-end latency characterization of task communication models for automotive systems 1-gen-2020 Martinez, J.; Sanudo, I.; Bertogna, M.
Energy Saving Exploiting the Limited Preemption Task Model 1-gen-2012 Mario, Bambagini; Giorgio, Buttazzo; Bertogna, Marko