From the 1 of 9 linked papers with an AI index.
9 papers
Optimizing Binary and Ternary Neural Network Inference on RRAM Crossbars using CIM-Explorer
Rebecca Pelke, José Cubero-Cascante, Nils Bosbach +5
The paper presents CIM-Explorer, a modular toolkit that compiles, maps, and simulates binary and ternary neural network inference on RRAM crossbars, enabling design‑space explorati…
Stateful Embedded Fuzzing with Peripheral-Accurate SystemC Virtual Prototypes
Chiara Ghinami, Igor Pontes Tresolavy, Luis Seibt +2
The increasing complexity of embedded software has made comprehensive manual testing impractical, motivating the use of automated techniques such as fuzzing. Coverage-guided fuzzer…
Mixed-Precision Training and Compilation for RRAM-based Computing-in-Memory Accelerators
Rebecca Pelke, Joel Klein, Jose Cubero-Cascante +3
Computing-in-Memory (CIM) accelerators are a promising solution for accelerating Machine Learning (ML) workloads, as they perform Matrix-Vector Multiplications (MVMs) on crossbar a…
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…
NQC2: A Non-Intrusive QEMU Code Coverage Plugin
Nils Bosbach, Alwalid Salama, Lukas Jünger +4
Code coverage analysis has become a standard approach in software development, facilitating the assessment of test suite effectiveness, the identification of under-tested code segm…
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…