Not finding it? Sign in to also search OpenAlex live.
-
All-Digital Time-Domain Compute-in-Memory Engine for Binary Neural Networks With 1.05 POPS/W Energy Efficiency2022 IEEE European Solid-State Circuits Conference (ESSCIRC) conference-paper Engineering Advanced Memory and Neural Computing
Jie Lou, Christian Lanius, Florian Freye, Tim Stadtmann, Tobias Gemmeke
19citations -
An Energy-Efficient and Area-Efficient Depthwise Separable Convolution Accelerator with Minimal On-Chip Memory Access2023 IFIP/IEEE International Conference on Very Large Scale Integration conference-paper Computer Science Advanced Neural Network Applications
Yi Chen, Jie Lou, Christian Lanius, Florian Freye, Johnson Loh, Tobias Gemmeke
7citations -
Evaluating the Scalability of Binary and Ternary CNN Workloads on RRAM-based Compute-in-Memory Accelerators2025 IEEE Computer Society Annual Symposium on VLSI conference-paper Engineering Advanced Memory and Neural Computing
José Cubero-Cascante, Rebecca Pelke, Noah Flohr, Arunkumar M. Vaidyanathan, Rainer Leupers, Jan Moritz Joseph
3citations -
A failure analysis framework of ReRAM In-Memory Logic operations2022 IEEE International Test Conference in Asia (ITC-Asia) conference-paper Engineering Advanced Memory and Neural Computing
Leon Brackmann, Atousa Jafari, Christopher Bengel, Mahta Mayahinia, Rainer M. Waser, Dirk J. Wouters, +2 more
3citations -
Mixed-Precision Training and Compilation for RRAM-based Computing-in-Memory Accelerators2026 conference-paper Computer Science Parallel Computing and Optimization Techniques cited by 1 patent
Rebecca Pelke, Joel Klein, José Cubero-Cascante, Nils Bosbach, Jan Moritz Joseph, Rainer Leupers
0citations -
Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models2024 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Materials Science Machine Learning in Materials Science Open access
Jan Finkbeiner, Thomas Gmeinder, Mark Pupilli, Alexander Titterton, Emre Neftci
4citations