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Journal Articles
- 2024
[j1]Jie Lou
, Florian Freye, Christian Lanius, Tobias Gemmeke:
An Energy Efficient All-Digital Time-Domain Compute-in-Memory Macro Optimized for Binary Neural Networks. IEEE Trans. Circuits Syst. I Regul. Pap. 71(1): 287-298 (2024)
Conference and Workshop Papers
- 2025
- [c10]Jie Lou, Florian Freye, Christian Lanius, Tobias Gemmeke:
A 22nm 96.83-TOPS/W Time-Domain Compute-in-Memory Engine Utilizing Mixed-Fidelity for Edge-AI Applications. ACM Great Lakes Symposium on VLSI 2025: 8-13 - [c9]Christian Lanius, Florian Freye, Tobias Gemmeke:
A 1.27 fJ/B/transition Digital Compute-in-Memory Architecture for Non-Deterministic Finite Automata Evaluation. ACM Great Lakes Symposium on VLSI 2025: 185-191 - [c8]Jie Lou, Florian Freye, Christian Lanius, Tobias Gemmeke:
An All-Digital Time-Domain Compute-in-Memory Engine for Convolutional Neural Networks in 22nm. ISCAS 2025: 1-5 - 2024
- [c7]Florian Freye, Jie Lou, Christian Lanius, Tobias Gemmeke:
Merits of Time-Domain Computing for VMM - A Quantitative Comparison. ISQED 2024: 1-8 - 2023
- [c6]Jie Lou, Florian Freye, Christian Lanius, Tobias Gemmeke:
Scalable Time-Domain Compute-in-Memory BNN Engine with 2.06 POPS/W Energy Efficiency for Edge-AI Devices. ACM Great Lakes Symposium on VLSI 2023: 665-670 - [c5]Christian Lanius, Florian Freye, Shutao Zhang, Tobias Gemmeke:
Hardware Trojans in fdSOI. ISLPED 2023: 1-6 - [c4]Yi Chen, Jie Lou, Christian Lanius, Florian Freye, Johnson Loh, Tobias Gemmeke:
An Energy-Efficient and Area-Efficient Depthwise Separable Convolution Accelerator with Minimal On-Chip Memory Access. VLSI-SoC 2023: 1-6 - [c3]Yi Chen, Jie Lou, Christian Lanius, Florian Freye, Johnson Loh, Tobias Gemmeke:
A Unified and Energy-Efficient Depthwise Separable Convolution Accelerator. VLSI-SoC (Selected Papers) 2023: 127-146 - 2022
- [c2]Jie Lou, Christian Lanius, Florian Freye, Tim Stadtmann, Tobias Gemmeke:
All-Digital Time-Domain Compute-in-Memory Engine for Binary Neural Networks With 1.05 POPS/W Energy Efficiency. ESSCIRC 2022: 149-152 - [c1]Michael Gansen, Jie Lou, Florian Freye, Tobias Gemmeke, Farhad Merchant, Albert Zeyer, Mohammad Zeineldeen, Ralf Schlüter, Xin Fan:
Discrete Steps towards Approximate Computing. ISQED 2022: 1-6
Informal and Other Publications
- 2024
- [i1]Florian Freye, Jie Lou, Christian Lanius, Tobias Gemmeke:
Merits of Time-Domain Computing for VMM - A Quantitative Comparison. CoRR abs/2403.18367 (2024)
Coauthor Index
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