Giorgos Armeniakos
Giorgos Armeniakos received his diploma degree from the Department of Electrical and Computer Engineering, National University of Athens (NTUA), Greece, in 2020 and he is currently a PhD candidate at the same department. His main research is focused on approximate computing, hardware acceleration and reconfigurable architectures for Deep Neural Networks. His interests include also FPGA designs, low-power designs and VLSI arithmetic circuits.
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- Giorgos Armeniakos ,
- Georgios Zervakis ,
- Dimitrios Soudris and
- Joerg Henkel
Hardware Approximate Techniques for Deep Neural Network Accelerators: A Survey
ACM Computing Surveys (CSUR) -
Design Space Exploration on High-Order QAM Demodulation Circuits: Algorithms, Arithmetic and Approximation Techniques
Electronics
Journals
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- Giorgos Armeniakos ,
- Georgios Zervakis ,
- Dimitrios Soudris ,
- Mehdi B. Tahoori and
- Joerg Henkel
Cross-layer approximation for printed machine learning circuits
2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), 190-195 -
ApproxQAM: High-Order QAM Demodulation Circuits with Approximate Arithmetic
2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST)