Giorgos Armeniakos

26 papers A 3C 1Journal 18Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
MaRVIn: A Cross-Layer Mixed-Precision RISC-V Framework for DNN Inference From ISA Extension to Hardware Acceleration.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Giorgos Armeniakos, Alexis Maras, Sotirios Xydis, Dimitrios Soudris
2025 C conf
A Bespoke Design Approach to Low-Power Printed Microprocessors for Machine Learning Applications.
ISCAS
Panagiotis Chaidos, Giorgos Armeniakos, Sotirios Xydis, Dimitrios Soudris
2025 J jnl
A Bespoke Design Approach to Low-Power Printed Microprocessors for Machine Learning Applications.
CoRR
Panagiotis Chaidos, Giorgos Armeniakos, Sotirios Xydis, Dimitrios Soudris
2025 J jnl
Approximate Computing Survey, Part I: Terminology and Software & Hardware Approximation Techniques.
ACM Comput. Surv.
Vasileios Leon, Muhammad Abdullah Hanif, Giorgos Armeniakos, Xun Jiao, Muhammed Shafique, Kiamal Z. Pekmestzi, Dimitrios Soudris
2025 J jnl
Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications.
ACM Comput. Surv.
Vasileios Leon, Muhammad Abdullah Hanif, Giorgos Armeniakos, Xun Jiao, Muhammad Shafique, Kiamal Z. Pekmestzi, Dimitrios Soudris
2025 J jnl
Hybrid unary-binary design for multiplier-less printed Machine Learning classifiers.
CoRR
Giorgos Armeniakos, Theodoros Mantzakidis, Dimitrios Soudris
2025 J jnl
MaRVIn: A Cross-Layer Mixed-Precision RISC-V Framework for DNN Inference, from ISA Extension to Hardware Acceleration.
CoRR
Giorgos Armeniakos, Alexis Maras, Sotirios Xydis, Dimitrios Soudris
2025 — conf
SVFF+: Kubernetes FPGA Virtualization and Reconfiguration for Network Virtualization.
ICT
Samuele Paone, Giorgos Armeniakos, Stefanos Gerangelos, Michele Paolino, Daniel Raho
2024 — conf
Accelerating TinyML Inference on Microcontrollers Through Approximate Kernels.
IPDPS (Workshops)
Giorgos Armeniakos, Georgios Mentzos, Dimitrios Soudris
2024 J jnl
Accelerating TinyML Inference on Microcontrollers through Approximate Kernels.
CoRR
Giorgos Armeniakos, Georgios Mentzos, Dimitrios Soudris
2024 A conf
Mixed-precision Neural Networks on RISC-V Cores: ISA extensions for Multi-Pumped Soft SIMD Operations.
ICCAD
Giorgos Armeniakos, Alexis Maras, Sotirios Xydis, Dimitrios Soudris
2024 J jnl
Mixed-precision Neural Networks on RISC-V Cores: ISA extensions for Multi-Pumped Soft SIMD Operations.
CoRR
Giorgos Armeniakos, Alexis Maras, Sotirios Xydis, Dimitrios Soudris
2024 A conf
On-Sensor Printed Machine Learning Classification via Bespoke ADC and Decision Tree Co-Design.
DATE
Giorgos Armeniakos, Paula L. Duarte, Priyanjana Pal, Georgios Zervakis, Mehdi B. Tahoori, Dimitrios Soudris
2024 — conf
Optimizing QAM Demodulation with NEON SIMD and Algorithmic Approximation Techniques.
SAMOS
Ilias Papalamprou, Giorgos Armeniakos, Ioannis Stratakos, George Lentaris, Dimitrios Soudris
2023 J jnl
Approximate Computing Survey, Part I: Terminology and Software & Hardware Approximation Techniques.
CoRR
Vasileios Leon, Muhammad Abdullah Hanif, Giorgos Armeniakos, Xun Jiao, Muhammad Shafique, Kiamal Z. Pekmestzi, Dimitrios Soudris
2023 J jnl
Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications.
CoRR
Vasileios Leon, Muhammad Abdullah Hanif, Giorgos Armeniakos, Xun Jiao, Muhammad Shafique, Kiamal Z. Pekmestzi, Dimitrios Soudris
2023 J jnl
Co-Design of Approximate Multilayer Perceptron for Ultra-Resource Constrained Printed Circuits.
CoRR
Giorgos Armeniakos, Georgios Zervakis, Dimitrios Soudris, Mehdi B. Tahoori, Jörg Henkel
2023 J jnl
Co-Design of Approximate Multilayer Perceptron for Ultra-Resource Constrained Printed Circuits.
IEEE Trans. Computers
Giorgos Armeniakos, Georgios Zervakis, Dimitrios Soudris, Mehdi B. Tahoori, Jörg Henkel
2023 J jnl
Hardware Approximate Techniques for Deep Neural Network Accelerators: A Survey.
ACM Comput. Surv.
Giorgos Armeniakos, Georgios Zervakis, Dimitrios Soudris, Jörg Henkel
2023 J jnl
Model-to-Circuit Cross-Approximation For Printed Machine Learning Classifiers.
CoRR
Giorgos Armeniakos, Georgios Zervakis, Dimitrios Soudris, Mehdi B. Tahoori, Jörg Henkel
2023 J jnl
Model-to-Circuit Cross-Approximation For Printed Machine Learning Classifiers.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Giorgos Armeniakos, Georgios Zervakis, Dimitrios Soudris, Mehdi B. Tahoori, Jörg Henkel
2023 J jnl
On-sensor Printed Machine Learning Classification via Bespoke ADC and Decision Tree Co-Design.
CoRR
Giorgos Armeniakos, Paula L. Duarte, Priyanjana Pal, Georgios Zervakis, Mehdi B. Tahoori, Dimitrios Soudris
2022 A conf
Cross-Layer Approximation For Printed Machine Learning Circuits.
DATE
Giorgos Armeniakos, Georgios Zervakis, Dimitrios Soudris, Mehdi B. Tahoori, Jörg Henkel
2022 J jnl
Cross-Layer Approximation For Printed Machine Learning Circuits.
CoRR
Giorgos Armeniakos, Georgios Zervakis, Dimitrios Soudris, Mehdi B. Tahoori, Jörg Henkel
2022 J jnl
Hardware Approximate Techniques for Deep Neural Network Accelerators: A Survey.
CoRR
Giorgos Armeniakos, Georgios Zervakis, Dimitrios Soudris, Jörg Henkel
2021 — conf
ApproxQAM: High-Order QAM Demodulation Circuits with Approximate Arithmetic.
MOCAST
Vasileios Leon, Ioannis Stratakos, Giorgos Armeniakos, George Lentaris, Dimitrios Soudris