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ORCIDGeorgios Zervakis 0001
Person information
- affiliation: Karlsruhe Institute of Technology, Karlsruhe, Germany
Other persons with the same name
- Georgios Zervakis 0002
![[0000-0002-3015-2238]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-3015-2238")
— Université de Lorraine / Inria Nancy, France
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2020 – today
- 2024
[c27]Florentia Afentaki, Michael Hefenbrock, Georgios Zervakis, Mehdi B. Tahoori:
Embedding Hardware Approximations in Discrete Genetic-Based Training for Printed MLPs. DATE 2024: 1-6- [c26]Giorgos Armeniakos, Paula L. Duarte, Priyanjana Pal, Georgios Zervakis, Mehdi B. Tahoori, Dimitrios Soudris:
On-Sensor Printed Machine Learning Classification via Bespoke ADC and Decision Tree Co-Design. DATE 2024: 1-6 - [c25]Priyanjana Pal, Florentia Afentaki, Haibin Zhao, Gurol Saglam, Michael Hefenbrock, Georgios Zervakis, Michael Beigl, Mehdi B. Tahoori:
Fault Sensitivity Analysis of Printed Bespoke Multilayer Perceptron Classifiers. ETS 2024: 1-6 - [i21]Florentia Afentaki, Michael Hefenbrock, Georgios Zervakis, Mehdi B. Tahoori:
Embedding Hardware Approximations in Discrete Genetic-based Training for Printed MLPs. CoRR abs/2402.02930 (2024) - [i20]Dimitrios Danopoulos, Georgios Zervakis, Dimitrios Soudris, Jörg Henkel:
TransAxx: Efficient Transformers with Approximate Computing. CoRR abs/2402.07545 (2024) - [i19]Konstantinos Balaskas, Florian Klemme, Georgios Zervakis, Kostas Siozios, Hussam Amrouch, Jörg Henkel:
Variability-Aware Approximate Circuit Synthesis via Genetic Optimization. CoRR abs/2404.04258 (2024) - [i18]Vojtech Mrazek, Argyris Kokkinis, Panagiotis Papanikolaou, Zdenek Vasícek, Kostas Siozios, Georgios Tzimpragos, Mehdi Baradaran Tahoori, Georgios Zervakis:
Evolutionary Approximation of Ternary Neurons for On-sensor Printed Neural Networks. CoRR abs/2407.20589 (2024) - [i17]Jennifer Volk, Panagiotis Papanikolaou, Georgios Zervakis, Georgios Tzimpragos:
Synthesis of Resource-Efficient Superconducting Circuits with Clock-Free Alternating Logic. CoRR abs/2407.20942 (2024) - 2023
- [j25]Giorgos Armeniakos, Georgios Zervakis, Dimitrios Soudris, Jörg Henkel:
Hardware Approximate Techniques for Deep Neural Network Accelerators: A Survey. ACM Comput. Surv. 55(4): 83:1-83:36 (2023) - [j24]Giorgos Armeniakos, Georgios Zervakis, Dimitrios Soudris, Mehdi B. Tahoori, Jörg Henkel:
Co-Design of Approximate Multilayer Perceptron for Ultra-Resource Constrained Printed Circuits. IEEE Trans. Computers 72(9): 2717-2725 (2023) - [j23]Dimitrios Danopoulos, Georgios Zervakis, Kostas Siozios, Dimitrios Soudris, Jörg Henkel:
AdaPT: Fast Emulation of Approximate DNN Accelerators in PyTorch. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(6): 2074-2078 (2023) - [j22]Giorgos Armeniakos, Georgios Zervakis, Dimitrios Soudris, Mehdi B. Tahoori, Jörg Henkel:
Model-to-Circuit Cross-Approximation For Printed Machine Learning Classifiers. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(11): 3532-3544 (2023) - [j21]Ourania Spantidi, Georgios Zervakis, Sami Alsalamin, Isai Roman-Ballesteros, Jörg Henkel, Hussam Amrouch, Iraklis Anagnostopoulos:
Targeting DNN Inference Via Efficient Utilization of Heterogeneous Precision DNN Accelerators. IEEE Trans. Emerg. Top. Comput. 11(1): 112-125 (2023) - [c24]Argyris Kokkinis, Georgios Zervakis, Kostas Siozios, Mehdi B. Tahoori, Jörg Henkel:
Hardware-Aware Automated Neural Minimization for Printed Multilayer Perceptrons. DATE 2023: 1-2 - [c23]Florentia Afentaki, Gurol Saglam, Argyris Kokkinis, Kostas Siozios, Georgios Zervakis, Mehdi B. Tahoori:
Bespoke Approximation of Multiplication-Accumulation and Activation Targeting Printed Multilayer Perceptrons. ICCAD 2023: 1-9 - [i16]Argyris Kokkinis, Georgios Zervakis, Kostas Siozios, Mehdi B. Tahoori, Jörg Henkel:
Hardware-Aware Automated Neural Minimization for Printed Multilayer Perceptrons. CoRR abs/2301.11142 (2023) - [i15]Giorgos Armeniakos, Georgios Zervakis, Dimitrios Soudris, Mehdi B. Tahoori, Jörg Henkel:
Co-Design of Approximate Multilayer Perceptron for Ultra-Resource Constrained Printed Circuits. CoRR abs/2302.14576 (2023) - [i14]Giorgos Armeniakos, Georgios Zervakis, Dimitrios Soudris, Mehdi B. Tahoori, Jörg Henkel:
Model-to-Circuit Cross-Approximation For Printed Machine Learning Classifiers. CoRR abs/2303.08255 (2023) - [i13]Giorgos Armeniakos, Paula L. Duarte, Priyanjana Pal, Georgios Zervakis, Mehdi B. Tahoori, Dimitrios Soudris:
On-sensor Printed Machine Learning Classification via Bespoke ADC and Decision Tree Co-Design. CoRR abs/2312.01172 (2023) - [i12]Konstantinos Balaskas, Andreas Karatzas, Christos Sad, Kostas Siozios, Iraklis Anagnostopoulos, Georgios Zervakis, Jörg Henkel:
Hardware-Aware DNN Compression via Diverse Pruning and Mixed-Precision Quantization. CoRR abs/2312.15322 (2023) - [i11]Florentia Afentaki, Gurol Saglam, Argyris Kokkinis, Kostas Siozios, Georgios Zervakis, Mehdi B. Tahoori:
Bespoke Approximation of Multiplication-Accumulation and Activation Targeting Printed Multilayer Perceptrons. CoRR abs/2312.17612 (2023) - 2022
- [j20]Sami Salamin, Georgios Zervakis, Florian Klemme, Hammam Kattan, Yogesh Singh Chauhan, Jörg Henkel, Hussam Amrouch:
Impact of NCFET Technology on Eliminating the Cooling Cost and Boosting the Efficiency of Google TPU. IEEE Trans. Computers 71(4): 906-918 (2022) - [j19]Georgios Zervakis, Iraklis Anagnostopoulos, Sami Salamin, Ourania Spantidi, Isai Roman-Ballesteros, Jörg Henkel, Hussam Amrouch:
Thermal-Aware Design for Approximate DNN Accelerators. IEEE Trans. Computers 71(10): 2687-2697 (2022) - [j18]Ourania Spantidi, Georgios Zervakis, Iraklis Anagnostopoulos, Jörg Henkel:
Energy-Efficient DNN Inference on Approximate Accelerators Through Formal Property Exploration. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 3838-3849 (2022) - [j17]Konstantinos Balaskas, Florian Klemme, Georgios Zervakis, Kostas Siozios, Hussam Amrouch, Jörg Henkel:
Variability-Aware Approximate Circuit Synthesis via Genetic Optimization. IEEE Trans. Circuits Syst. I Regul. Pap. 69(10): 4141-4153 (2022) - [j16]Nafis Irtija, Iraklis Anagnostopoulos, Georgios Zervakis, Eirini-Eleni Tsiropoulou, Hussam Amrouch, Jörg Henkel:
Energy Efficient Edge Computing Enabled by Satisfaction Games and Approximate Computing. IEEE Trans. Green Commun. Netw. 6(1): 281-294 (2022) - [c22]Giorgos Armeniakos, Georgios Zervakis, Dimitrios Soudris, Mehdi B. Tahoori, Jörg Henkel:
Cross-Layer Approximation For Printed Machine Learning Circuits. DATE 2022: 190-195 - [c21]Jörg Henkel, Hai Li, Anand Raghunathan, Mehdi B. Tahoori, Swagath Venkataramani, Xiaoxuan Yang, Georgios Zervakis:
Approximate Computing and the Efficient Machine Learning Expedition. ICCAD 2022: 80:1-80:9 - [c20]Konstantinos Balaskas, Georgios Zervakis, Kostas Siozios, Mehdi B. Tahoori, Jörg Henkel:
Approximate Decision Trees For Machine Learning Classification on Tiny Printed Circuits. ISQED 2022: 1-6 - [p1]Georgios Zervakis, Iraklis Anagnostopoulos, Hussam Amrouch, Jörg Henkel:
Enabling Efficient Inference of Convolutional Neural Networks via Approximation. Approximate Computing 2022: 429-450 - [i10]Dimitrios Danopoulos, Georgios Zervakis, Kostas Siozios, Dimitrios Soudris, Jörg Henkel:
AdaPT: Fast Emulation of Approximate DNN Accelerators in PyTorch. CoRR abs/2203.04071 (2022) - [i9]Giorgos Armeniakos, Georgios Zervakis, Dimitrios Soudris, Mehdi B. Tahoori, Jörg Henkel:
Cross-Layer Approximation For Printed Machine Learning Circuits. CoRR abs/2203.05915 (2022) - [i8]Konstantinos Balaskas, Georgios Zervakis, Hussam Amrouch, Jörg Henkel, Kostas Siozios:
Automated Design Approximation to Overcome Circuit Aging. CoRR abs/2203.07962 (2022) - [i7]Konstantinos Balaskas, Georgios Zervakis, Kostas Siozios, Mehdi B. Tahoori, Jörg Henkel:
Approximate Decision Trees For Machine Learning Classification on Tiny Printed Circuits. CoRR abs/2203.08011 (2022) - [i6]Giorgos Armeniakos, Georgios Zervakis, Dimitrios Soudris, Jörg Henkel:
Hardware Approximate Techniques for Deep Neural Network Accelerators: A Survey. CoRR abs/2203.08737 (2022) - [i5]Ourania Spantidi, Georgios Zervakis, Iraklis Anagnostopoulos, Jörg Henkel:
Energy-efficient DNN Inference on Approximate Accelerators Through Formal Property Exploration. CoRR abs/2207.12350 (2022) - [i4]Jörg Henkel, Hai Li, Anand Raghunathan, Mehdi B. Tahoori, Swagath Venkataramani, Xiaoxuan Yang, Georgios Zervakis:
Approximate Computing and the Efficient Machine Learning Expedition. CoRR abs/2210.00497 (2022) - 2021
- [j15]Georgios Zervakis, Iraklis Anagnostopoulos, Sami Salamin, Yogesh Singh Chauhan, Jörg Henkel, Hussam Amrouch:
Impact of NCFET on Neural Network Accelerators. IEEE Access 9: 43748-43758 (2021) - [j14]Guilherme Paim, Georgios Zervakis, Girish Pahwa, Yogesh Singh Chauhan, Eduardo Antonio Cesar da Costa, Sergio Bampi, Jörg Henkel, Hussam Amrouch:
On the Resiliency of NCFET Circuits Against Voltage Over-Scaling. IEEE Trans. Circuits Syst. I Regul. Pap. 68(4): 1481-1492 (2021) - [j13]Sami Salamin, Georgios Zervakis, Yogesh Singh Chauhan, Jörg Henkel, Hussam Amrouch:
PROTON: Post-Synthesis Ferroelectric Thickness Optimization for NCFET Circuits. IEEE Trans. Circuits Syst. I Regul. Pap. 68(10): 4299-4309 (2021) - [j12]Konstantinos Balaskas, Georgios Zervakis, Hussam Amrouch, Jörg Henkel, Kostas Siozios:
Automated Design Approximation to Overcome Circuit Aging. IEEE Trans. Circuits Syst. I Regul. Pap. 68(11): 4710-4721 (2021) - [c19]Georgios Zervakis, Hassaan Saadat, Hussam Amrouch, Andreas Gerstlauer, Sri Parameswaran, Jörg Henkel:
Approximate Computing for ML: State-of-the-art, Challenges and Visions. ASP-DAC 2021: 189-196 - [c18]Georgios Zervakis, Ourania Spantidi, Iraklis Anagnostopoulos, Hussam Amrouch, Jörg Henkel:
Control Variate Approximation for DNN Accelerators. DAC 2021: 481-486 - [c17]Mikail Yayla, Kuan-Hsun Chen, Georgios Zervakis, Jörg Henkel, Jian-Jia Chen, Hussam Amrouch:
FeFET and NCFET for Future Neural Networks: Visions and Opportunities. DATE 2021: 300-305 - [c16]Sami Salamin, Georgios Zervakis, Ourania Spantidi, Iraklis Anagnostopoulos, Jörg Henkel, Hussam Amrouch:
Reliability-Aware Quantization for Anti-Aging NPUs. DATE 2021: 1460-1465 - [c15]Ourania Spantidi, Georgios Zervakis, Iraklis Anagnostopoulos, Hussam Amrouch, Jörg Henkel:
Positive/Negative Approximate Multipliers for DNN Accelerators. ICCAD 2021: 1-9 - [i3]Georgios Zervakis, Ourania Spantidi, Iraklis Anagnostopoulos, Hussam Amrouch, Jörg Henkel:
Control Variate Approximation for DNN Accelerators. CoRR abs/2102.09642 (2021) - [i2]Sami Salamin, Georgios Zervakis, Ourania Spantidi, Iraklis Anagnostopoulos, Jörg Henkel, Hussam Amrouch:
Reliability-Aware Quantization for Anti-Aging NPUs. CoRR abs/2103.04812 (2021) - [i1]Ourania Spantidi, Georgios Zervakis, Iraklis Anagnostopoulos, Hussam Amrouch, Jörg Henkel:
Positive/Negative Approximate Multipliers for DNN Accelerators. CoRR abs/2107.09366 (2021) - 2020
- [j11]Georgios Zervakis, Hussam Amrouch, Jörg Henkel:
Design Automation of Approximate Circuits With Runtime Reconfigurable Accuracy. IEEE Access 8: 53522-53538 (2020) - [j10]Hussam Amrouch, Georgios Zervakis, Sami Salamin, Hammam Kattan, Iraklis Anagnostopoulos, Jörg Henkel:
NPU Thermal Management. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(11): 3842-3855 (2020) - [j9]Zois-Gerasimos Tasoulas, Georgios Zervakis, Iraklis Anagnostopoulos, Hussam Amrouch, Jörg Henkel:
Weight-Oriented Approximation for Energy-Efficient Neural Network Inference Accelerators. IEEE Trans. Circuits Syst. 67-I(12): 4670-4683 (2020)
2010 – 2019
- 2019
- [j8]Georgios Zervakis, Sotirios Xydis, Dimitrios Soudris, Kiamal Z. Pekmestzi:
Multi-Level Approximate Accelerator Synthesis Under Voltage Island Constraints. IEEE Trans. Circuits Syst. II Express Briefs 66-II(4): 607-611 (2019) - [j7]Georgios Zervakis, Konstantina Koliogeorgi, Dimitrios Anagnostos, Nikolaos Zompakis, Kostas Siozios:
VADER: Voltage-Driven Netlist Pruning for Cross-Layer Approximate Arithmetic Circuits. IEEE Trans. Very Large Scale Integr. Syst. 27(6): 1460-1464 (2019) - [c14]Nikolaos Zompakis, Dimitrios Anagnostos, Konstantina Koliogeorgi, Georgios Zervakis, Kostas Siozios:
A Design Flow Framework for Fully-Connected Neural Networks Rapid Prototyping. COINS 2019: 44-49 - [c13]Dimosthenis Masouros, Konstantina Koliogeorgi, Georgios Zervakis, Alexandra Kosvyra, Achilleas Chytas, Sotirios Xydis, Ioanna Chouvarda, Dimitrios Soudris:
Co-design Implications of Cost-effective On-demand Acceleration for Cloud Healthcare Analytics: The AEGLE approach. DATE 2019: 622-625 - [c12]Konstantina Koliogeorgi, Georgios Zervakis, Dimitrios Anagnostos, Nikolaos Zompakis, Kostas Siozios:
Optimizing SVM Classifier Through Approximate and High Level Synthesis Techniques. MOCAST 2019: 1-4 - 2018
- [j6]Vasileios Leon, Georgios Zervakis, Sotirios Xydis, Dimitrios Soudris, Kiamal Z. Pekmestzi:
Walking through the Energy-Error Pareto Frontier of Approximate Multipliers. IEEE Micro 38(4): 40-49 (2018) - [j5]Vasileios Leon, Georgios Zervakis, Dimitrios Soudris, Kiamal Z. Pekmestzi:
Approximate Hybrid High Radix Encoding for Energy-Efficient Inexact Multipliers. IEEE Trans. Very Large Scale Integr. Syst. 26(3): 421-430 (2018) - [j4]Georgios Zervakis, Fotios Ntouskas, Sotirios Xydis, Dimitrios Soudris, Kiamal Z. Pekmestzi:
VOSsim: A Framework for Enabling Fast Voltage Overscaling Simulation for Approximate Computing Circuits. IEEE Trans. Very Large Scale Integr. Syst. 26(6): 1204-1208 (2018) - 2017
- [c11]Konstantina Koliogeorgi, Dimosthenis Masouros, Georgios Zervakis, Sotirios Xydis, Tobias Becker, Georgi Gaydadjiev, Dimitrios Soudris:
AEGLE's Cloud Infrastructure for Resource Monitoring and Containerized Accelerated Analytics. ISVLSI 2017: 362-367 - 2016
- [j3]Kostas Tsoumanis, Nicholas Axelos, Nikolaos Moschopoulos, Georgios Zervakis, Kiamal Z. Pekmestzi:
Pre-Encoded Multipliers Based on Non-Redundant Radix-4 Signed-Digit Encoding. IEEE Trans. Computers 65(2): 670-676 (2016) - [j2]Kostas Tsoumanis, Sotirios Xydis, Georgios Zervakis, Kiamal Z. Pekmestzi:
Flexible DSP Accelerator Architecture Exploiting Carry-Save Arithmetic. IEEE Trans. Very Large Scale Integr. Syst. 24(1): 368-372 (2016) - [j1]Georgios Zervakis, Kostas Tsoumanis, Sotirios Xydis, Dimitrios Soudris, Kiamal Z. Pekmestzi:
Design-Efficient Approximate Multiplication Circuits Through Partial Product Perforation. IEEE Trans. Very Large Scale Integr. Syst. 24(10): 3105-3117 (2016) - [c10]Georgios Zervakis, Sotirios Xydis, Dimitrios Soudris:
Performance-power exploration of software-defined big data analytics: The AEGLE cloud backend. SAMOS 2016: 312-319 - 2015
- [c9]Georgios Zervakis, Kostas Tsoumanis, Sotirios Xydis, Nicholas Axelos, Kiamal Z. Pekmestzi:
Approximate Multiplier Architectures Through Partial Product Perforation: Power-Area Tradeoffs Analysis. ACM Great Lakes Symposium on VLSI 2015: 229-232 - [c8]Georgios Zervakis, Sotirios Xydis, Kostas Tsoumanis, Dimitrios Soudris, Kiamal Z. Pekmestzi:
Hybrid approximate multiplier architectures for improved power-accuracy trade-offs. ISLPED 2015: 79-84 - [c7]Nikolaos Eftaxiopoulos, Nicholas Axelos, Georgios Zervakis, Kostas Tsoumanis, Kiamal Z. Pekmestzi:
Delta DICE: A Double Node Upset resilient latch. MWSCAS 2015: 1-4 - 2014
- [c6]Georgios Zervakis, Nikolaos Eftaxiopoulos-Sarris, Kostas Tsoumanis, Nicholas Axelos, Kiamal Z. Pekmestzi:
A segmentation-based BISR scheme. ASP-DAC 2014: 652-657 - [c5]Nikolaos Eftaxiopoulos-Sarris, Georgios Zervakis, Kiamal Z. Pekmestzi, Costas Efstathiou:
High performance MAC designs. IDT 2014: 30-35 - [c4]Nikolaos Eftaxiopoulos-Sarris, Nicholas Axelos, Georgios Zervakis, Kostas Tsoumanis, Kiamal Z. Pekmestzi:
An independent dual gate SOI FinFET soft-error resilient memory cell. IDT 2014: 39-44 - [c3]Georgios Zervakis, Nikolaos Eftaxiopoulos-Sarris, Kostas Tsoumanis, Nicholas Axelos, Kiamal Z. Pekmestzi:
A high radix montgomery multiplier with concurrent error detection. IDT 2014: 199-204 - [c2]Nicholas Axelos, Nikolaos Eftaxiopoulos-Sarris, Georgios Zervakis, Kostas Tsoumanis, Kiamal Z. Pekmestzi:
FF-DICE: An 8T soft-error tolerant cell using Independent Dual Gate SOI FinFETs. IOLTS 2014: 200-201 - 2013
- [c1]Nikolaos Eftaxiopoulos-Sarris, Georgios Zervakis, Kostas Tsoumanis, Kiamal Z. Pekmestzi:
A radiation tolerant and self-repair memory cell. IOLTS 2013: 210-215
Coauthor Index
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