Dimitrios Danopoulos
Orcid: 0000-0001-9327-5983
According to our database1,
Dimitrios Danopoulos
authored at least 20 papers
between 2018 and 2024.
Collaborative distances:
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Bibliography
2024
Proceedings of the IGARSS 2024, 2024
2023
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., June, 2023
Proceedings of the 12th International Conference on Modern Circuits and Systems Technologies, 2023
Proceedings of the 31st IEEE International Conference on Network Protocols, 2023
The SERRANO platform: Stepping towards seamless application development & deployment in the heterogeneous edge-cloud continuum.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023
2022
HW/SW Acceleration of Multiple Workloads Within the SERRANO's Computing Continuum - Invited Paper.
Proceedings of the Embedded Computer Systems: Architectures, Modeling, and Simulation, 2022
LSTM Acceleration with FPGA and GPU Devices for Edge Computing Applications in B5G MEC.
Proceedings of the Embedded Computer Systems: Architectures, Modeling, and Simulation, 2022
Optimizing Savitzky-Golay Filter on GPU and FPGA Accelerators for Financial Applications.
Proceedings of the 11th International Conference on Modern Circuits and Systems Technologies, 2022
2021
Sustain. Comput. Informatics Syst., 2021
Leveraging HW Approximation for Exploiting Performance-Energy Trade-offs Within the Edge-Cloud Computing Continuum.
Proceedings of the High Performance Computing - ISC High Performance Digital 2021 International Workshops, Frankfurt am Main, Germany, June 24, 2021
Towards Efficient HW Acceleration in Edge-Cloud Infrastructures: The SERRANO Approach - Invited Paper.
Proceedings of the Embedded Computer Systems: Architectures, Modeling, and Simulation, 2021
Proceedings of the 10th International Conference on Modern Circuits and Systems Technologies, 2021
Towards sharing one FPGA SoC for both low-level PHY and high-level AI/ML computing at the edge.
Proceedings of the IEEE International Mediterranean Conference on Communications and Networking, 2021
Covid4HPC: A Fast and Accurate Solution for Covid Detection in the Cloud Using X-Rays.
Proceedings of the Applied Reconfigurable Computing. Architectures, Tools, and Applications, 2021
2020
Using LSTM Neural Networks as Resource Utilization Predictors: The Case of Training Deep Learning Models on the Edge.
Proceedings of the Economics of Grids, Clouds, Systems, and Services, 2020
Proceedings of the 28th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2020
2019
Proceedings of the Embedded Computer Systems: Architectures, Modeling, and Simulation, 2019
Proceedings of the 14th International Symposium on Reconfigurable Communication-centric Systems-on-Chip, 2019
2018
Proceedings of the 7th International Conference on Modern Circuits and Systems Technologies, 2018