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Dimitrios Danopoulos
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2020 – today
- 2024
- [c17]Simon Vellas, Bill Psomas, Kalliopi Karadima, Dimitrios Danopoulos, Alexandros Paterakis, George Lentaris, Dimitrios Soudris, Konstantinos Karantzalos:
Evaluation of Resource-Efficient Crater Detectors on Embedded Systems. IGARSS 2024: 6134-6141 - [i3]Dimitrios Danopoulos, Georgios Zervakis, Dimitrios Soudris, Jörg Henkel:
TransAxx: Efficient Transformers with Approximate Computing. CoRR abs/2402.07545 (2024) - [i2]Simon Vellas, Bill Psomas, Kalliopi Karadima, Dimitrios Danopoulos, Alexandros Paterakis, George Lentaris, Dimitrios Soudris, Konstantinos Karantzalos:
Evaluation of Resource-Efficient Crater Detectors on Embedded Systems. CoRR abs/2405.16953 (2024) - 2023
- [j2]Dimitrios Danopoulos
, Georgios Zervakis
AdaPT: Fast Emulation of Approximate DNN Accelerators in PyTorch. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(6): 2074-2078 (2023) - [c16]Aggelos Ferikoglou, Argyris Kokkinis, Dimitrios Danopoulos, Ioannis Oroutzoglou, Anastassios Nanos
The SERRANO platform: Stepping towards seamless application development & deployment in the heterogeneous edge-cloud continuum. DATE 2023: 1-4 - [c15]Anastassios Nanos, Aristotelis Kretsis, Charalampos Mainas, George Ntouskos, Aggelos Ferikoglou, Dimitrios Danopoulos, Argyris Kokkinis, Dimosthenis Masouros, Kostas Siozios, Polyzois Soumplis, Panagiotis C. Kokkinos, Juan Jose Vegas Olmos, Emmanouel A. Varvarigos:
Hardware-Accelerated FaaS for the Edge-Cloud Continuum. ICNP 2023: 1-6 - [c14]Aimilios Leftheriotis
Evaluating Versal ACAP and conventional FPGA platforms for AI inference. MOCAST 2023: 1-6 - 2022
- [c13]Ioannis Oroutzoglou, Argyris Kokkinis, Aggelos Ferikoglou, Dimitrios Danopoulos, Dimosthenis Masouros, Kostas Siozios:
Optimizing Savitzky-Golay Filter on GPU and FPGA Accelerators for Financial Applications. MOCAST 2022: 1-4 - [c12]Argyris Kokkinis, Aggelos Ferikoglou, Ioannis Oroutzoglou, Dimitrios Danopoulos, Dimosthenis Masouros, Kostas Siozios:
HW/SW Acceleration of Multiple Workloads Within the SERRANO's Computing Continuum - Invited Paper. SAMOS 2022: 394-405 - [c11]Dimitrios Danopoulos, Ioannis Stamoulias, George Lentaris, Dimosthenis Masouros, Ioannis Kanaropoulos, Andreas Kosmas Kakolyris
LSTM Acceleration with FPGA and GPU Devices for Edge Computing Applications in B5G MEC. SAMOS 2022: 406-419 - [i1]Dimitrios Danopoulos, Georgios Zervakis, Kostas Siozios, Dimitrios Soudris
AdaPT: Fast Emulation of Approximate DNN Accelerators in PyTorch. CoRR abs/2203.04071 (2022) - 2021
- [j1]Dimitrios Danopoulos
Utilizing cloud FPGAs towards the open neural network standard. Sustain. Comput. Informatics Syst. 30: 100520 (2021) - [c10]Dimitrios Danopoulos
Covid4HPC: A Fast and Accurate Solution for Covid Detection in the Cloud Using X-Rays. ARC 2021: 327-336 - [c9]Ioannis Stratakos, Elissaios-Alexios Papatheofanous, Dimitrios Danopoulos, George Lentaris, Dionysios I. Reisis, Dimitrios Soudris:
Towards sharing one FPGA SoC for both low-level PHY and high-level AI/ML computing at the edge. MeditCom 2021: 76-81 - [c8]Dimitrios Danopoulos, Konstantinos Anagnostopoulos, Christoforos Kachris, Dimitrios Soudris:
FPGA Acceleration of Generative Adversarial Networks for Image Reconstruction. MOCAST 2021: 1-5 - [c7]Aggelos Ferikoglou, Ioannis Oroutzoglou, Argyris Kokkinis, Dimitrios Danopoulos, Dimosthenis Masouros, Efthymios Chondrogiannis, Aitor Fernández Gómez, Aristotelis Kretsis, Panagiotis C. Kokkinos, Emmanouel A. Varvarigos, Kostas Siozios:
Towards Efficient HW Acceleration in Edge-Cloud Infrastructures: The SERRANO Approach - Invited Paper. SAMOS 2021: 354-367 - [c6]Argyris Kokkinis, Aggelos Ferikoglou, Dimitrios Danopoulos, Dimosthenis Masouros, Kostas Siozios:
Leveraging HW Approximation for Exploiting Performance-Energy Trade-offs Within the Edge-Cloud Computing Continuum. ISC Workshops 2021: 406-415 - 2020
- [c5]Dimitrios Danopoulos, Christoforos Kachris, Dimitrios Soudris
Automatic Generation of FPGA Kernels From Open Format CNN Models. FCCM 2020: 237 - [c4]John Violos, Evangelos Psomakelis
Using LSTM Neural Networks as Resource Utilization Predictors: The Case of Training Deep Learning Models on the Edge. GECON 2020: 67-74
2010 – 2019
- 2019
- [c3]Dimitrios Danopoulos
FPGA Acceleration of Approximate KNN Indexing on High- Dimensional Vectors. ReCoSoC 2019: 59-65 - [c2]Dimitrios Danopoulos
Approximate Similarity Search with FAISS Framework Using FPGAs on the Cloud. SAMOS 2019: 373-386 - 2018
- [c1]Dimitrios Danopoulos
Acceleration of image classification with Caffe framework using FPGA. MOCAST 2018: 1-4
Coauthor Index
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