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ORCIDDimitrios Soudris
- > Home > Persons > Dimitrios Soudris
Publications
- 2025
[c364]Ioannis Loudaros
, Georgios Zervakis, Dimitrios Soudris, Dimosthenis Masouros:
Leveraging DVFS for Energy-Efficient and QoS-aware Edge Video Analytics. MECC@EuroSys 2025: 26-32- 2024
- [c362]Dimosthenis Masouros, Aggelos Ferikoglou, Georgios Zervakis, Sotirios Xydis, Dimitrios Soudris:
Late Breaking Results: Language-level QoR modeling for High-Level Synthesis. DAC 2024: 351:1-351:2 - [c360]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 - [i29]Dimitrios Danopoulos, Georgios Zervakis, Dimitrios Soudris, Jörg Henkel:
TransAxx: Efficient Transformers with Approximate Computing. CoRR abs/2402.07545 (2024) - 2023
- [j143]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) - [j139]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) - [j138]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) - [j137]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) - [i18]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) - [i17]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) - [i11]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) - 2022
- [c328]Giorgos Armeniakos, Georgios Zervakis, Dimitrios Soudris, Mehdi B. Tahoori, Jörg Henkel:
Cross-Layer Approximation For Printed Machine Learning Circuits. DATE 2022: 190-195 - [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]Giorgos Armeniakos, Georgios Zervakis, Dimitrios Soudris, Jörg Henkel:
Hardware Approximate Techniques for Deep Neural Network Accelerators: A Survey. CoRR abs/2203.08737 (2022) - 2019
- [j105]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) - [c275]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 - 2018
- [j98]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) - [j91]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) - [j90]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
- [c232]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
- [j71]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) - [c206]Georgios Zervakis, Sotirios Xydis, Dimitrios Soudris:
Performance-power exploration of software-defined big data analytics: The AEGLE cloud backend. SAMOS 2016: 312-319 - 2015
- [c190]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
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