Gianluca Brilli

Orcid: 0000-0003-4387-5774

According to our database1, Gianluca Brilli authored at least 12 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Invited Paper: On the Granularity of Bandwidth Regulation in FPGA-Based Heterogeneous Systems on Chip.
Proceedings of the 22nd International Workshop on Worst-Case Execution Time Analysis, 2024

Adaptive Localization for Autonomous Racing Vehicles with Resource-Constrained Embedded Platforms.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

2023
Evaluating Controlled Memory Request Injection for Efficient Bandwidth Utilization and Predictable Execution in Heterogeneous SoCs.
ACM Trans. Embed. Comput. Syst., 2023

Performance/power assessment of CNN packages on embedded automotive platforms.
CoRR, 2023

Interference analysis of shared last-level cache on embedded GP-GPUs with multiple CUDA streams.
CoRR, 2023

The Importance of Worst-Case Memory Contention Analysis for Heterogeneous SoCs.
CoRR, 2023

Fine-Grained QoS Control via Tightly-Coupled Bandwidth Monitoring and Regulation for FPGA-based Heterogeneous SoCs.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022
Understanding and Mitigating Memory Interference in FPGA-based HeSoCs.
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

An FPGA Overlay for Efficient Real-Time Localization in 1/10th Scale Autonomous Vehicles.
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

2020
A Systematic Assessment of Embedded Neural Networks for Object Detection.
Proceedings of the 25th IEEE International Conference on Emerging Technologies and Factory Automation, 2020

2019
An open source research framework for IoT-capable smart traffic lights.
Proceedings of the 5th EAI International Conference on Smart Objects and Technologies for Social Good, 2019

2018
Convolutional Neural Networks on Embedded Automotive Platforms: A Qualitative Comparison.
Proceedings of the 2018 International Conference on High Performance Computing & Simulation, 2018


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