2 citations · 3 across the 13 of their papers we have counts for
3 papers · 1 filter
A Calibratable Model for Fast Energy Estimation of MVM Operations on RRAM Crossbars
José Cubero-Cascante, Arunkumar Vaidyanathan, Rebecca Pelke +3
The surge in AI usage demands innovative power reduction strategies. Novel Compute-in-Memory (CIM) architectures, leveraging advanced memory technologies, hold the potential for si…
A Fully Automated Platform for Evaluating ReRAM Crossbars
Rebecca Pelke, Felix Staudigl, Niklas Thomas +6
Resistive Random Access Memory (ReRAM) is a promising candidate for implementing Computing-in-Memory (CIM) architectures and neuromorphic circuits. ReRAM cells exhibit significant…
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…