2 citations · 3 across the 13 of their papers we have counts for
6 papers · 1 filter
Leveraging SystemC-TLM-based Virtual Prototypes for Embedded Software Fuzzing
Chiara Ghinami, Jonas Winzer, Nils Bosbach +4
SystemC-based virtual prototypes have emerged as widely adopted tools to test software ahead of hardware availability, reducing the time-to-market and improving software reliabilit…
FMI Meets SystemC: A Framework for Cross-Tool Virtual Prototyping
Nils Bosbach, Meik Schmidt, Lukas Jünger +2
As systems become more complex, the demand for thorough testing and virtual prototyping grows. To simulate whole systems, multiple tools are usually needed to cover different parts…
High-Performance ARM-on-ARM Virtualization for Multicore SystemC-TLM-Based Virtual Platforms
Nils Bosbach, Rebecca Pelke, Niko Zurstraßen +3
The increasing complexity of hardware and software requires advanced development and test methodologies for modern systems on chips. This paper presents a novel approach to ARM-on-…
Optimizing Binary and Ternary Neural Network Inference on RRAM Crossbars using CIM-Explorer
Rebecca Pelke, José Cubero-Cascante, Nils Bosbach +5
Using Resistive Random Access Memory (RRAM) crossbars in Computing-in-Memory (CIM) architectures offers a promising solution to overcome the von Neumann bottleneck. Due to non-idea…
Introducing Instruction-Accurate Simulators for Performance Estimation of Autotuning Workloads
Rebecca Pelke, Nils Bosbach, Lennart M. Reimann +1
Accelerating Machine Learning (ML) workloads requires efficient methods due to their large optimization space. Autotuning has emerged as an effective approach for systematically ev…
Evaluating the Scalability of Binary and Ternary CNN Workloads on RRAM-based Compute-in-Memory Accelerators
José Cubero-Cascante, Rebecca Pelke, Noah Flohr +3
The increasing computational demand of Convolutional Neural Networks (CNNs) necessitates energy-efficient acceleration strategies. Compute-in-Memory (CIM) architectures based on Re…