32 citations · 34 across the 8 of their papers we have counts for
8 papers
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…
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…
Automated Information Flow Analysis for Integrated Computing-in-Memory Modules
Lennart M. Reimann, Felix Staudigl, Rainer Leupers
Novel non-volatile memory (NVM) technologies offer high-speed and high-density data storage. In addition, they overcome the von Neumann bottleneck by enabling computing-in-memory (…
Fault Injection in Native Logic-in-Memory Computation on Neuromorphic Hardware
Felix Staudigl, Thorben Fetz, Rebecca Pelke +4
Logic-in-memory (LIM) describes the execution of logic gates within memristive crossbar structures, promising to improve performance and energy efficiency. Utilizing only binary va…
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…
X-Fault: Impact of Faults on Binary Neural Networks in Memristor-Crossbar Arrays with Logic-in-Memory Computation
Felix Staudigl, Karl J. X. Sturm, Maximilian Bartel +5
Memristor-based crossbar arrays represent a promising emerging memory technology to replace conventional memories by offering a high density and enabling computing-in-memory (CIM)…
NeuroHammer: Inducing Bit-Flips in Memristive Crossbar Memories
Felix Staudigl, Hazem Al Indari, Daniel Schön +6
Emerging non-volatile memory (NVM) technologies offer unique advantages in energy efficiency, latency, and features such as computing-in-memory. Consequently, emerging NVM technolo…