| Design-efficient approximate multiplication circuits through partial product perforation G Zervakis, K Tsoumanis, S Xydis, D Soudris, K Pekmestzi IEEE Transactions on Very Large Scale Integration (VLSI) Systems 24 (10 …, 2016 | 174 | 2016 |
| Approximate hybrid high radix encoding for energy-efficient inexact multipliers V Leon, G Zervakis, D Soudris, K Pekmestzi IEEE Transactions on Very Large Scale Integration (VLSI) Systems 26 (3), 421-430, 2017 | 168 | 2017 |
| Hardware approximate techniques for deep neural network accelerators: A survey G Armeniakos, G Zervakis, D Soudris, J Henkel ACM Computing Surveys 55 (4), 1-36, 2022 | 114 | 2022 |
| Weight-oriented approximation for energy-efficient neural network inference accelerators ZG Tasoulas, G Zervakis, I Anagnostopoulos, H Amrouch, J Henkel IEEE Transactions on Circuits and Systems I: Regular Papers 67 (12), 4670-4683, 2020 | 100 | 2020 |
| Delta DICE: A double node upset resilient latch N Eftaxiopoulos, N Axelos, G Zervakis, K Tsoumanis, K Pekmestzi 2015 IEEE 58th International Midwest Symposium on Circuits and Systems …, 2015 | 90 | 2015 |
| Walking through the energy-error Pareto frontier of approximate multipliers V Leon, G Zervakis, S Xydis, D Soudris, K Pekmestzi IEEE Micro 38 (4), 40-49, 2018 | 63 | 2018 |
| Approximate computing for ML: State-of-the-art, challenges and visions G Zervakis, H Saadat, H Amrouch, A Gerstlauer, S Parameswaran, ... Proceedings of the 26th Asia and South Pacific Design Automation Conference …, 2021 | 51 | 2021 |
| Design automation of approximate circuits with runtime reconfigurable accuracy G Zervakis, H Amrouch, J Henkel IEEE access 8, 53522-53538, 2020 | 51 | 2020 |
| NPU thermal management H Amrouch, G Zervakis, S Salamin, H Kattan, I Anagnostopoulos, ... IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2020 | 49 | 2020 |
| Energy efficient edge computing enabled by satisfaction games and approximate computing N Irtija, I Anagnostopoulos, G Zervakis, EE Tsiropoulou, H Amrouch, ... IEEE Transactions on Green Communications and Networking 6 (1), 281-294, 2021 | 37 | 2021 |
| Multi-level approximate accelerator synthesis under voltage island constraints G Zervakis, S Xydis, D Soudris, K Pekmestzi IEEE Transactions on Circuits and Systems II: Express Briefs 66 (4), 607-611, 2018 | 37 | 2018 |
| Adapt: Fast emulation of approximate dnn accelerators in pytorch D Danopoulos, G Zervakis, K Siozios, D Soudris, J Henkel IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2022 | 36 | 2022 |
| Hybrid approximate multiplier architectures for improved power-accuracy trade-offs G Zervakis, S Xydis, K Tsoumanis, D Soudris, K Pekmestzi 2015 IEEE/ACM International Symposium on Low Power Electronics and Design …, 2015 | 36 | 2015 |
| Control variate approximation for DNN accelerators G Zervakis, O Spantidi, I Anagnostopoulos, H Amrouch, J Henkel 2021 58th acm/ieee design automation conference (dac), 481-486, 2021 | 32 | 2021 |
| VADER: Voltage-driven netlist pruning for cross-layer approximate arithmetic circuits G Zervakis, K Koliogeorgi, D Anagnostos, N Zompakis, K Siozios IEEE Transactions on Very Large Scale Integration (VLSI) Systems 27 (6 …, 2019 | 27 | 2019 |
| Positive/negative approximate multipliers for DNN accelerators O Spantidi, G Zervakis, I Anagnostopoulos, H Amrouch, J Henkel 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-9, 2021 | 25 | 2021 |
| Pre-encoded multipliers based on non-redundant radix-4 signed-digit encoding K Tsoumanis, N Axelos, N Moschopoulos, G Zervakis, K Pekmestzi IEEE Transactions on Computers 65 (2), 670-676, 2015 | 23 | 2015 |
| On the resiliency of NCFET circuits against voltage over-scaling G Paim, G Zervakis, G Pahwa, YS Chauhan, EAC da Costa, S Bampi, ... IEEE Transactions on Circuits and Systems I: Regular Papers 68 (4), 1481-1492, 2021 | 22 | 2021 |
| Approximate multiplier architectures through partial product perforation: Power-area tradeoffs analysis G Zervakis, K Tsoumanis, S Xydis, N Axelos, K Pekmestzi Proceedings of the 25th edition on Great Lakes Symposium on VLSI, 229-232, 2015 | 21 | 2015 |
| Approximate computing and the efficient machine learning expedition J Henkel, H Li, A Raghunathan, MB Tahoori, S Venkataramani, X Yang, ... Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided …, 2022 | 20 | 2022 |
Jörg HenkelProfessor of Computer Science, Karlsruhe Institute of TechnologyVerifisert e-postadresse på kit.edu
