| Dissecting the CUDA scheduling hierarchy: a performance and predictability perspective IS Olmedo, N Capodieci, JL Martinez, A Marongiu, M Bertogna 2020 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS …, 2020 | 66 | 2020 |
| Analytical characterization of end-to-end communication delays with logical execution time J Martinez, I Saņudo, M Bertogna IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2018 | 53 | 2018 |
| End-to-end latency characterization of task communication models for automotive systems J Martinez, I Saņudo, M Bertogna Real-Time Systems 56, 315-347, 2020 | 24 | 2020 |
| A perspective on safety and real-time issues for gpu accelerated adas IS Olmedo, N Capodieci, R Cavicchioli IECON 2018-44th Annual Conference of the IEEE Industrial Electronics Society …, 2018 | 23 | 2018 |
| SPHERE: A multi-SoC architecture for next-generation cyber-physical systems based on heterogeneous platforms A Biondi, D Casini, G Cicero, N Borgioli, G Buttazzo, G Patti, L Leonardi, ... IEEE Access 9, 75446-75459, 2021 | 21 | 2021 |
| Contending memory in heterogeneous SoCs: Evolution in NVIDIA Tegra embedded platforms N Capodieci, R Cavicchioli, IS Olmedo, M Solieri, M Bertogna 2020 IEEE 26th international conference on embedded and real-time computing …, 2020 | 19 | 2020 |
| System performance modelling of heterogeneous hw platforms: An automated driving case study F Wurst, D Dasari, A Hamann, D Ziegenbein, I Sanudo, N Capodieci, ... 2019 22nd Euromicro conference on digital system design (DSD), 365-372, 2019 | 19 | 2019 |
| End-to-end latency characterization of implicit and let communication models J Martinez, I Sanudo, P Burgio, M Bertogna International Workshop on Analysis Tools and Methodologies for Embedded and …, 2017 | 14 | 2017 |
| Performance modeling of heterogeneous HW platforms F Rehm, D Dasari, A Hamann, M Pressler, D Ziegenbein, J Seitter, ... Microprocessors and Microsystems 87, 104336, 2021 | 13 | 2021 |
| A survey on shared disk I/O management in virtualized environments under real time constraints I Saņudo, R Cavicchioli, N Capodieci, P Valente, M Bertogna ACM SIGBED Review 15 (1), 57-63, 2018 | 11 | 2018 |
| Schedulability and timing analysis of mixed preemptive-cooperative tasks on a partitioned multi-core system I Sanudo, P Burgio, M Bertogna Proceedings of the 7th international workshop on analysis tools and …, 2016 | 11 | 2016 |
| Exact response time analysis of fixed priority systems based on sporadic servers J Martinez, D Dasari, A Hamann, I Saņudo, M Bertogna Journal of Systems Architecture 110, 101836, 2020 | 10 | 2020 |
| Real-time requirements for adas platforms featuring shared memory hierarchies N Capodieci, P Burgio, R Cavicchioli, IS Olmedo, M Solieri, M Bertogna IEEE Design & Test 39 (1), 35-41, 2020 | 7 | 2020 |
| Dissecting the CUDA scheduling hierarchy: a performance and predictability perspective. In 2020 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS) IS Olmedo, N Capodieci, JL Martinez, A Marongiu, M Bertogna IEEE, 2020 | 7 | 2020 |
| Future automotive HW/SW platform design (Dagstuhl Seminar 19502) D Ziegenbein, S Saidi, XS Hu, S Steinhorst Dagstuhl Reports 9 (12), 2020 | 7 | 2020 |
| The key role of memory in next-generation embedded systems for military applications I Saņudo, P Cortimiglia, L Miccio, M Solieri, P Burgio, C Di Biagio, F Felici, ... Proceedings of 6th International Conference in Software Engineering for …, 2020 | 5 | 2020 |
| Reconciling QoS and concurrency in NVIDIA GPUs via warp-level scheduling J Singh, IS Olmedo, N Capodieci, A Marongiu, M Caccamo 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2022 | 4 | 2022 |
| Contention-aware GPU partitioning and task-to-partition allocation for real-time workloads HE Zahaf, IS Olmedo, J Singh, N Capodieci, S Faucou Proceedings of the 29th International Conference on Real-Time Networks and …, 2021 | 4 | 2021 |
| Introducing a deferrable server into autosar JLM Garcia, IS Olmedo 2020 IEEE 26th International Conference on Embedded and Real-Time Computing …, 2020 | 3 | 2020 |
| CERBERUS: Simple and Effective All-In-One Automotive Perception Model with Multi Task Learning C Scribano, G Franchini, IS Olmedo, M Bertogna arXiv preprint arXiv:2210.00756, 2022 | 2 | 2022 |
Marko BertognaFull Professor, University of Modena, ItalyVerifierad e-postadress på unimore.it
