32 citations · 34 across the 8 of their papers we have counts for
3 papers · 1 filter
CLSA-CIM: A Cross-Layer Scheduling Approach for Computing-in-Memory Architectures
Rebecca Pelke, Jose Cubero-Cascante, Nils Bosbach +3
The demand for efficient machine learning (ML) accelerators is growing rapidly, driving the development of novel computing concepts such as resistive random access memory (RRAM)-ba…
Mapping of CNNs on multi-core RRAM-based CIM architectures
Rebecca Pelke, Nils Bosbach, Jose Cubero +3
RRAM-based multi-core systems improve the energy efficiency and performance of CNNs. Thereby, the distributed parallel execution of convolutional layers causes critical data depend…
EmuNoC: Hybrid Emulation for Fast and Flexible Network-on-Chip Prototyping on FPGAs
Yee Yang Tan, Felix Staudigl, Lukas Jünger +3
Networks-on-Chips (NoCs) recently became widely used, from multi-core CPUs to edge-AI accelerators. Emulation on FPGAs promises to accelerate their RTL modeling compared to slow si…