Description
Book Synopsis.- Main Track :
.- Progressing Non-blocking Two-Sided Communication Using BlueField DPUs.
.- Efficient Parallel Fuzzy Dilation for Visual Reasoning: Leveraging ARM CPUs and NVIDIA GPUs on Embedded Systems.
.- Optimized Ternary Signed Digit Addition on Field Programmable Gate Arrays.
.- FSST Compression of JSON Data on FPGAs.
.- CHaOS: A Persistent Lightweight Cache Hybridization-aware OS.
.- MxGPU: A Case Study on OS-Controlled GPGPU Multiplexing.
.- Towards Complete Open-source Environments: FPGA-Based GPU Overlay Controlled by RISC-V.
.- Revisiting Gradient Direction Algorithms in Electrostatic Placers.
.- ZTL: Enabling Zoned Namespace Support for File Systems.
.- Spend More to Save More (SM2): An Energy and Hardware-Aware Implementation of Successive Halving for Sustainable Hyperparameter Optimization.
.- OpenVADL: An Open Source Implementation of the Vienna Architecture Description Language.
.- A SIMD MAC RISC-V Extension with Approximate Multipliers for Accelerating CNN Inference in Tiny Embedded Devices.
.- Wildcat: Educational RISC-V Microprocessors.
.- Special Track on Organic Computing (OC) :
.- Location based Probabilistic Load Forecasting of EV Charging Sites: Deep Transfer Learning with Multi-Quantile Temporal Convolutional Network.
.- Unsupervised Anomaly Detection in Cellular Modem Metrics Using Deep Autoencoders.
.- Hyperparameter Optimization for PSO-Based Energy-Aware Path Planning for AUV Swarms.
.- Process-Level Simulation Testbed for Assessing Field Robot Swarms.
.- Neural Rules for Reinforcement Learning with XCSF as Controller in Organic Computing Systems.
.- Evaluating Adaptive Systems: A Comparative Study of XCS and Established Reinforcement Learning Algorithms in Noisy Multi-Step Environments.
.- A Measurement Framework at Global and Local Levels for Hybrid Organic Computing Systems.
.- Exploring Model Quantization in GenAI-based Image Inpainting and Detection of Arable Plants.
.- Unify: Uncertainty incorporated Federated Learning for Object Detection.
.- Special Track on Dependability and Fault Tolerance (VERFE):
.- Extension of 2-bit error correcting BCH codes with simple decoding.
.- Reduction of Average-Performance Degradation and Variance in Faulty CPU Cache Memories.
.- PhD Forum :
.- A System Model for Flexible Multi-Objective Adaptation Planning in Hybrid Self-Adaptive and Self-Organizing Systems.
.- Dynamic Multimodal Cyclist Behaviour Modelling: From Representation Insights to Federated Collaboration .
.- Self-explanation of System Behaviour in Organic Computing Systems.
.- Enhancing Dynamic Scene Understanding in Manual Assembly Processes.
.- Situational Awareness by Audio Signals in Maritime Application .
.- A Vision for Deep Reinforcement Learning with a Classi er System.
.- AI-based computer vision methods to monitor emission-relevant parameters in livestock barns.
.- Open the Black Box: Self-Explainability of AI in Autonomous Marine Systems.
.- Leveraging Application-Speci c Knowledge for Energy-E cient Deep Learning Accelerators on Resource-Constrained FPGAs.
.- Research Groups :
.- Presentation of the joint research project FORnanoSatellites.
.- Feedback-guided Dataset Shaping for Automated Downstream Task Optimization.
.- Disruptive Memory Technologies: An Overview of DFG Priority Program 2377.
