Architecture of Computing Systems, Kartoniert / Broschiert

Klappentext

.- 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.