Dimitrios Danopoulos

Orcid: 0000-0001-9327-5983

According to our database1, Dimitrios Danopoulos authored at least 20 papers between 2018 and 2024.

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

Timeline

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Bibliography

2024
TransAxx: Efficient Transformers with Approximate Computing.
CoRR, 2024

Evaluation of Resource-Efficient Crater Detectors on Embedded Systems.
Proceedings of the IGARSS 2024, 2024

2023
AdaPT: Fast Emulation of Approximate DNN Accelerators in PyTorch.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., June, 2023

Evaluating Versal ACAP and conventional FPGA platforms for AI inference.
Proceedings of the 12th International Conference on Modern Circuits and Systems Technologies, 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
Utilizing cloud FPGAs towards the open neural network standard.
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

FPGA Acceleration of Generative Adversarial Networks for Image Reconstruction.
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

Automatic Generation of FPGA Kernels From Open Format CNN Models.
Proceedings of the 28th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2020

2019
Approximate Similarity Search with FAISS Framework Using FPGAs on the Cloud.
Proceedings of the Embedded Computer Systems: Architectures, Modeling, and Simulation, 2019

FPGA Acceleration of Approximate KNN Indexing on High- Dimensional Vectors.
Proceedings of the 14th International Symposium on Reconfigurable Communication-centric Systems-on-Chip, 2019

2018
Acceleration of image classification with Caffe framework using FPGA.
Proceedings of the 7th International Conference on Modern Circuits and Systems Technologies, 2018


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