Dr. Georgios Zervakis

  • Haid-und-Neu-Str. 7
    Bldg. 07.21
    76131 Karlsruhe

Short Bio:

Georgios Zervakis received the Diploma and Ph.D. degrees from the School of Electrical and Computer Engineering (ECE), National Technical University of Athens (NTUA), Greece, in 2012 and 2018, respectively. He is currently a research assistant and group leader at the Chair for Embedded Systems (CES), at the Karlsruhe Institute of Technology (KIT). Before joining KIT, he was a postdoctoral research fellow at Microprocessors Laboratory and Digital Systems Lab (Microlab), ECE, NTUA. In addition, he has worked as a research associate at the Aristotle University of Thessaloniki (AUTH), the National and Kapodistrian University of Athens (UOA), and as a principal investigator at the Institute of Communication and Computer Systems (ICCS), Greece. As a member of ICCS, he worked in several European projects including among others the AEGLE, FABSPACE 2.0, and EXA2PRO.

 

Research Interests:

  • Approximate computing
  • Design automation and synthesis
  • Neural Network accelerators
  • Hardware acceleration in cloud

Publications

Journals
Konstantinos Balaskas, Florian Klemme, Georgios Zervakis, Kostas Siozios, Hussam Amrouch, Jörg Henkel
Variability-Aware Approximate Circuit Synthesis via Genetic Optimization
in IEEE Transactions on Circuits and Systems I: Regular Papers, DOI, PDF, early access 2022.
Ourania Spantidi, Georgios Zervakis, Sami Alsalamin, Isai Roman-Ballesteros, Jörg Henkel, Hussam Amrouch, and Iraklis Anagnostopoulos
Targeting DNN Inference via Efficient Utilization of Heterogeneous Precision DNN Accelerators
in IEEE Transactions on Emerging Topics in Computing, DOI, PDF, early access 2022.
Giorgos Armeniakos, Georgios Zervakis, Dimitrios Soudris, Jörg Henkel
Hardware Approximate Techniques for Deep Neural Network Accelerators: A Survey
in ACM Computing Surveys (CSUR), DOI, PDF, (accepted) Mar 2022.
Georgios Zervakis, Iraklis Anagnostopoulos, Sami Alsalamin, Ourania Spantidi, Isai Roman-Ballesteros, Jörg Henkel, Hussam Amrouch
Thermal-Aware Design for Approximate DNN Accelerators
in IEEE Transactions on Computers, DOI, PDF, early access 2022.
S. Salamin, G. Zervakis, F. Klemme, H. Kattan, Y. Chauhan, J. Henkel, and H. Amrouch
Impact of NCFET Technology on Eliminating the Cooling Cost and Boosting the Efficiency of Google TPU
in IEEE Transactions on Computers (Volume 71, Issue 4), DOI, PDF, Apr 2022.
Nafis Irtija, Iraklis Anagnostopoulos, Georgios Zervakis, Eirini Eleni Tsiropoulou, Hussam Amrouch, Jörg Henkel
Energy Efficient Edge Computing Enabled by Satisfaction Games and Approximate Computing
in IEEE Transactions on Green Communications and Networking (Volume 6, Issue 1), DOI, PDF, Mar 2022.
Konstantinos Balaskas, Georgios Zervakis, Hussam Amrouch, Jörg Henkel, Kostas Siozios
Automated Design Approximation to Overcome Circuit Aging
in IEEE Transactions on Circuits and Systems I: Regular Papers (Volume 68, Issue 11), DOI, PDF, Nov 2021.
Sami Salamin, Georgios Zervakis, Yogesh Singh Chauhan, Jörg Henkel, Hussam Amrouch
PROTON: Post-Synthesis Ferroelectric Thickness Optimization for NCFET Circuits
in IEEE Transactions on Circuits and Systems I: Regular Papers (Volume 68, Issue 10), DOI, PDF, Oct 2021.
Georgios Zervakis, Iraklis Anagnostopoulos, Sami Salamin, Yogesh S. Chauhan, Jörg Henkel, Hussam Amrouch
Impact of NCFET on Neural Network Accelerators
in IEEE Access (Volume 9), DOI, PDF, Mar 2021.
Guilherme Paim, Georgios Zervakis, Girish Pahwa, Yogesh S. Chauhan, Eduardo A. C. da Costa, Sergio Bampi, Jörg Henkel, and Hussam Amrouch
On the Resiliency of NCFET Circuits against Voltage Over-Scaling
in IEEE Transactions on Circuits and Systems I: Regular Papers (Volume 68, Issue 4), DOI, PDF, Mar 2021.
Hussam Amrouch, Georgios Zervakis, Sami Salamin, Hammam Kattan, Iraklis Anagnostopoulos and Jörg Henkel
NPU Thermal Management
in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), ESWEEK Special Issue (Volume 39, Issue 11), DOI, PDF, Nov 2020.
Zois-Gerasimos Tasoulas, Georgios Zervakis, Iraklis Anagnostopoulos, Hussam Amrouch, Jörg Henkel
Weight-Oriented Approximation for Energy-Efficient Neural Network Inference Accelerators
in IEEE Transactions on Circuits and Systems I: Regular Papers (Volume 67, Issue 12), DOI, PDF, Sep 2020.
Georgios Zervakis, Hussam Amrouch and Jörg Henkel
Design Automation of Approximate Circuits With Runtime Reconfigurable Accuracy
in IEEE Access (Volume 8), DOI, PDF, Mar 2020.
Conferences
Konstantinos Balaskas, Georgios Zervakis, Kostas Siozios, Mehdi B. Tahoori, Jörg Henkel
Approximate Decision Trees For Machine Learning Classification on Tiny Printed Circuits
in 23rd International Symposium on Quality Electronic Design (ISQED '22), 6-8 April 2022.
Giorgos Armeniakos, Georgios Zervakis, Dimitrios Soudris, Mehdi B. Tahoori, Jörg Henkel
Cross-Layer Approximation For Printed Machine Learning Circuits
in IEEE/ACM 25th Design, Automation and Test in Europe Conference (DATE'22), Antwerp, Belgium, Mar 14-23 2022.
Best Paper Nomination
G. Zervakis, O. Spantidi, I. Anagnostopoulos, H. Amrouch, and J. Henkel
Control Variate Approximation for DNN Accelerators
in 58th Design Automation Conference (DAC), San Francisco, DOI, PDF, Dec 5-9 2021.
Ourania Spantidi, Georgios Zervakis, Iraklis Anagnostopoulos, Hussam Amrouch, and Jörg Henkel
Positive/Negative Approximate Multipliers for DNN Accelerators
in IEEE/ACM 40th International Conference On Computer Aided Design (ICCAD), Virtual Conference, DOI, PDF, Nov 1-5 2021.
Mikail Yayla, Kuan-Hsun Chen, Georgios Zervakis, Jörg Henkel, Jian-Jia Chen, and Hussam Amrouch
FeFET and NCFET for Future Neural Networks: Visions and Opportunities (special session)
in 24th Design, Automation and Test in Europe Conference (DATE'21), Virtual Conference, DOI, PDF, Feb 1-5 2021.
Sami Salamin, Georgios Zervakis, Ourania Spantidi, Iraklis Anagnostopoulos, Jörg Henkel and Hussam Amrouch
Reliability-Aware Quantization for Anti-Aging NPUs
in IEEE/ACM 24th Design, Automation and Test in Europe Conference (DATE'21), Virtual Conference, DOI, PDF, Feb 1-5 2021.
Georgios Zervakis, Hassaan Saadat, Hussam Amrouch, Andreas Gerstlauer, Sri Parameswaran, and Jörg Henkel
Approximate Computing for ML: State-of-the-art, Challenges and Visions (special session)
in 26th Asia and South Pacific Design Automation Conference (ASPDAC ’21), DOI, PDF, Jan 18-21 2021.
arXiv
Dimitrios Danopoulos, Georgios Zervakis, Kostas Siozios, Dimitrios Soudris and Jörg Henkel
AdaPT: Fast Emulation of Approximate DNN Accelerators in PyTorch
in arXiv, DOI, PDF, Mar 2022.

Previous publications

Journals
G. Zervakis, K. Koliogeorgi, D. Anagnostos, N. Zompakis, and K. Siozios
VADER: Voltage­Driven Netlist Pruning for Cross­Layer Approximate Arithmetic Circuits
in IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 27, no. 6, pp. 1460–1464, DOI, Jun. 2019.
G. Zervakis, S. Xydis, D. Soudris, and K. Pekmestzi,
Multi­Level Approximate Accelerator Synthesis Under Voltage Island Constraints
in IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 66, no. 4, pp. 607–611, DOI, Apr. 2019.
V. Leon, G. Zervakis, S. Xydis, D. Soudris, and K. Pekmestzi
Walking through the Energy­Error Pareto Frontier of Approximate Multipliers
in IEEE Micro, vol. 38, no. 4, pp. 40–49, DOI, Jul. 2018.
G. Zervakis, F. Ntouskas, S. Xydis, D. Soudris, and K. Pekmestzi
VOSsim: A Framework for Enabling Fast Voltage Overscaling Simulation for Approximate Computing Circuits
in IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 26, no. 6, pp. 1204–1208, DOI, Jun. 2018.
V. Leon, G. Zervakis, D. Soudris, and K. Pekmestzi
Approximate Hybrid High Radix Encoding for Energy­Efficient Inexact Multipliers
in IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 26, no. 3, pp. 421–430, DOI, Mar. 2018.
G. Zervakis, K. Tsoumanis, S. Xydis, D. Soudris, and K. Pekmestzi
Design­Efficient Approximate Multiplication Circuits Through Partial Product Perforation
in IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 24, no. 10, pp. 3105–3117, DOI, Oct. 2016.
K. Tsoumanis, N. Axelos, N. Moschopoulos, G. Zervakis, and K. Pekmestzi
Pre­Encoded Multipliers Based on Non­Redundant Radix­4 Signed­Digit Encoding
in IEEE Transactions on Computers, vol. 65, no. 2, pp. 670–676, DOI, Feb. 2016.
K. Tsoumanis, S. Xydis, G. Zervakis, and K. Pekmestzi
Flexible DSP Accelerator Architecture Exploiting Carry­Save Arithmetic
in IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 24, no. 1, pp. 368–372, DOI, Jan. 2016.
Conferences
K. Koliogeorgi, G. Zervakis, D. Anagnostos, N. Zompakis, and K. Siozios
Optimizing SVM Classifier Through Approximate and High Level Synthesis Techniques
in 2019 8th International Conference on Modern Circuits and Systems Technologies (MOCAST), IEEE, 2019, pp. 1–4. DOI.
D. Masouros, K. Koliogeorgi, G. Zervakis, A. Kosvyra, A. Chytas, S. Xydis, I. Chouvarda, and D. Soudris
Co­design implications of cost­effective on­demand acceleration for cloud healthcare analytics: The aegle approach
in 2019 Design, Automation Test in Europe Conference Exhibition (DATE), 2019, pp. 622–625. DOI.
N. Zompakis, D. Anagnostos, K. Koliogeorgi, G. Zervakis, and K. Siozios
A Design Flow Framework for Fully­Connected Neural Networks Rapid Prototyping
in Proceedings of the International Conference on Omni­Layer Intelligent Systems, ACM, 2019, pp. 44–49. DOI:.
K. Koliogeorgi, D. Masouros, G. Zervakis, S. Xydis, T. Becker, G. Gaydadjiev, and D. Soudris
AEGLE’s Cloud Infrastructure for Resource Monitoring and Containerized Accelerated Analytics
in 2017 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), Jul. 2017, pp. 362–367. DOI.
G. Zervakis, S. Xydis, and D. Soudris
Performance­power exploration of software­defined big data analytics: The AEGLE cloud backend
in 2016 International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation (SAMOS), IEEE, Jul. 2016, pp. 312–319. DOI.
N. Eftaxiopoulos, N. Axelos, G. Zervakis, K. Tsoumanis, and K. Pekmestzi
Delta DICE: A Double Node Upset resilient latch
in 2015 IEEE 58th International Midwest Symposium on Circuits and Systems (MWSCAS), Aug. 2015, pp. 1–4. DOI.
G. Zervakis, S. Xydis, K. Tsoumanis, D. Soudris, and K. Pekmestzi
Hybrid approximate multiplier architectures for improved power­accuracy trade­offs
in 2015 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), Jul. 2015, pp. 79–84. DOI.
G. Zervakis, K. Tsoumanis, S. Xydis, N. Axelos, and K. Pekmestzi
Approximate Multiplier Architectures Through Partial Product Perforation: Power­Area Tradeoffs Analysis
in Proceedings of the 25th Edition on Great Lakes Symposium on VLSI (GLSVLSI), ACM, 2015, pp. 229–232. DOI.
N. Eftaxiopoulos, N. Axelos, G. Zervakis, K. Tsoumanis, and K. Pekmestzi
An independent dual gate SOI FinFET soft­error resilient memory cell
in 2014 9th International Design and Test Symposium (IDT), IEEE, Dec. 2014, pp. 39–44. DOI.
N. Eftaxiopoulos, G. Zervakis, K. Pekmestzi, and C. Efstathiou
High performance MAC designs
in 2014 9th International Design and Test Symposium (IDT), IEEE, Dec. 2014, pp. 30–35. DOI.
G. Zervakis, N. Eftaxiopoulos, K. Tsoumanis, N. Axelos, and K. Pekmestzi
A high radix montgomery multiplier with concurrent error detection
in 2014 9th International Design and Test Symposium (IDT), IEEE, Dec. 2014, pp. 199–204. DOI.
N. Axelos, N. Eftaxiopoulos, G. Zervakis, K. Tsoumanis, and K. Pekmestzi
FF­DICE: An 8T soft­error tolerant cell using Independent Dual Gate SOI FinFETs
in 2014 IEEE 20th International On­Line Testing Symposium (IOLTS), Jul. 2014, pp. 200–201. DOI.
G. Zervakis, N. Eftaxiopoulos, K. Tsoumanis, N. Axelos, and K. Pekmestzi
A segmentation­based BISR scheme
in 2014 19th Asia and South Pacific Design Automation Conference (ASP­DAC), Jan. 2014, pp. 652–657. DOI.
N. Eftaxiopoulos­Sarris, G. Zervakis, K. Tsoumanis, and K. Pekrnestzi
A radiation tolerant and self­repair memory cell
in 2013 IEEE 19th International On­Line Testing Symposium (IOLTS), Jul. 2013, pp. 210–215. DOI.
Book Chapters
C. Kachris, E. Koromilas, I. Stamelos, G. Zervakis, S. Xydis, and D. Soudris
Energy­Efficient Acceleration of Spark Machine Learning Applications on FPGAs
C. Kachris, B. Falsafi, and D. Soudris, Eds. Cham: Springer International Publishing, 2019, pp. 87–107. DOI.
G. Zervakis
On Accelerating Data Analytics: An Introduction to the Approximate Computing Technique
K. Siozios, D. Anagnostos, D. Soudris, and E. Kosmatopoulos, Eds. Cham: Springer International Publishing, 2019, pp. 163–180. DOI.

 

Student Theses

Ongoing Projects
NameType of workTitleMentor
Donat, AtalayBachelor thesisRL-based Resource ManagementRapp, Martin / Khdr, Heba / Zervakis, Georgios
Donat, AtalayHiwiDistributed Embedded ML PlatformRapp, Martin / Khdr, Heba / Zervakis, Georgios
Giakoumidakis, NikolaosBachelor thesisapproximate Multi Layer PerceptronZervakis, Georgios
Finished Projects
NameType of workTitleMentorCompletion date
Balaskas, KonstantinosMaster thesisApproximate ComputingAmrouch, Hussam / Zervakis, Georgios2021-09-30
Roman Ballesteros, IsaiInternshipDeep Neural NetworkAmrouch, Hussam / Zervakis, Georgios2020-12-31
Abdelhamid, MohamedBachelor thesisMachine LearningAmrouch, Hussam / Zervakis, Georgios2020-07-31
El-Sherif, AhmedBachelor thesisReliability-Aware Circuit DesignAmrouch, Hussam / Zervakis, Georgios2020-07-31
Elfeky, LujineBachelor thesisMachine Learning Amrouch, Hussam / Zervakis, Georgios2020-07-31