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2020 – today
- 2024
[j3]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)- [j2]Daniel Fallnich, Christian Lanius, Shutao Zhang, Tobias Gemmeke:
Efficient ASIC Architecture for Low Latency Classic McEliece Decoding. IACR Trans. Cryptogr. Hardw. Embed. Syst. 2024(2): 403-425 (2024) - [j1]Christian Lanius, Tobias Gemmeke:
Fully Digital, Standard-Cell-Based Multifunction Compute-in-Memory Arrays for Genome Sequencing. IEEE Trans. Very Large Scale Integr. Syst. 32(1): 30-41 (2024) - [c10]Kevin Kauth, Christian Lanius, Tobias Gemmeke:
nAIxt: A Light-Weight Processor Architecture for Efficient Computation of Neuron Models. ARCS 2024: 3-17 - [c9]Florian Freye, Jie Lou, Christian Lanius, Tobias Gemmeke:
Merits of Time-Domain Computing for VMM - A Quantitative Comparison. ISQED 2024: 1-8 - [i1]Florian Freye, Jie Lou, Christian Lanius, Tobias Gemmeke:
Merits of Time-Domain Computing for VMM - A Quantitative Comparison. CoRR abs/2403.18367 (2024) - 2023
- [c8]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 - [c7]Christian Lanius, Florian Freye, Shutao Zhang, Tobias Gemmeke:
Hardware Trojans in fdSOI. ISLPED 2023: 1-6 - [c6]Christian Lanius, Jie Lou, Johnson Loh, Tobias Gemmeke:
Automatic Generation of Structured Macros Using Standard Cells ‒ Application to CIM. ISLPED 2023: 1-6 - [c5]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 - 2022
- [c4]Melvin Galicia, Stephan Menzel, Farhad Merchant, Maximilian Müller, Hsin-Yu Chen, Qing-Tai Zhao, Felix Cüppers, Abdur R. Jalil, Qi Shu, Peter Schüffelgen, Gregor Mussler, Carsten Funck, Christian Lanius, Stefan Wiefels, Moritz von Witzleben, Christopher Bengel, Nils Kopperberg, Tobias Ziegler, R. Walied Ahmad, Alexander Krüger, Letícia Maria Bolzani Pöhls, Regina Dittmann, Susanne Hoffmann-Eifert, Vikas Rana, Detlev Grützmacher, Matthias Wuttig, Dirk J. Wouters, Andrei Vescan, Tobias Gemmeke, Joachim Knoch, Max Christian Lemme, Rainer Leupers, Rainer Waser:
NEUROTEC I: Neuro-inspired Artificial Intelligence Technologies for the Electronics of the Future. DATE 2022: 957-962 - [c3]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 - [c2]Christian Lanius, Tobias Gemmeke:
Multi-Function CIM Array for Genome Alignment Applications built with Fully Digital Flow. NorCAS 2022: 1-7
2010 – 2019
- 2018
- [c1]Christian Lanius, Daisuke Kobayashi, Kazushige Ouchi, Yoshimitsu Aoki:
Single Image, Context Aware Action Estimation in Sports. SITIS 2018: 664-671
Coauthor Index
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