137 citations · 424 across the 38 of their papers we have counts for
9 papers · 1 filter
Leveraging Highly Approximated Multipliers in DNN Inference
Georgios Zervakis, Fabio Frustaci, Ourania Spantidi +3
In this work, we present a control variate approximation technique that enables the exploitation of highly approximate multipliers in Deep Neural Network (DNN) accelerators. Our ap…
Sequential Printed MLP Circuits for Super TinyML Multi-Sensory Applications
Gurol Saglam, Florentia Afentaki, Georgios Zervakis +1
Super-TinyML aims to optimize machine learning models for deployment on ultra-low-power application domains such as wearable technologies and implants. Such domains also require co…
Reducing ADC Front-end Costs During Training of On-sensor Printed Multilayer Perceptrons
Florentia Afentaki, Paula Carolina Lozano Duarte, Georgios Zervakis +1
Printed electronics technology offers a cost-effectiveand fully-customizable solution to computational needs beyondthe capabilities of traditional silicon technologies, offering ad…
Design and In-training Optimization of Binary Search ADC for Flexible Classifiers
Paula Carolina Lozano Duarte, Florentia Afentaki, Georgios Zervakis +1
Flexible Electronics (FE) offer distinct advantages, including mechanical flexibility and low process temperatures, enabling extremely low-cost production. To address the demands o…
Synthesis of Resource-Efficient Superconducting Circuits with Clock-Free Alternating Logic
Jennifer Volk, Panagiotis Papanikolaou, Georgios Zervakis +1
Gate-level clocking, typical in traditional approaches to Single Flux Quantum (SFQ) technology, makes the effective synthesis of superconducting circuits a significant engineering…
Evolutionary Approximation of Ternary Neurons for On-sensor Printed Neural Networks
Vojtech Mrazek, Argyris Kokkinis, Panagiotis Papanikolaou +5
Printed electronics offer ultra-low manufacturing costs and the potential for on-demand fabrication of flexible hardware. However, significant intrinsic constraints stemming from t…
Variability-Aware Approximate Circuit Synthesis via Genetic Optimization
Konstantinos Balaskas, Florian Klemme, Georgios Zervakis +3
One of the major barriers that CMOS devices face at nanometer scale is increasing parameter variation due to manufacturing imperfections. Process variations severely inhibit the re…
TransAxx: Efficient Transformers with Approximate Computing
Dimitrios Danopoulos, Georgios Zervakis, Dimitrios Soudris +1
Vision Transformer (ViT) models which were recently introduced by the transformer architecture have shown to be very competitive and often become a popular alternative to Convoluti…
Embedding Hardware Approximations in Discrete Genetic-based Training for Printed MLPs
Florentia Afentaki, Michael Hefenbrock, Georgios Zervakis +1
Printed Electronics (PE) stands out as a promisingtechnology for widespread computing due to its distinct attributes, such as low costs and flexible manufacturing. Unlike tradition…