Architecture of Computing Systems

38th International Conference, ARCS 2025, Kiel, Germany, April 22-24, 2025, Proceedings
Herausgegeben:Tomforde, Sven; Krupitzer, Christian; Suarez, Estela; Pionteck, Thilo;Mitarbeit:Vialle, Stephane

• Broschiertes Buch

Produktbeschreibung

This book constitutes the proceedings of the 38th International Conference on Architecture of Computing Systems, ARCS 2025, held in Kiel, Germany, in April 2025.

The 24 full papers presented together with 12 other papers in this volume were carefully reviewed and selected from 49 submissions.

These papers have been categorized in the following sections: self-powered embedded systems up to plant powered high-performance systems, new emerging and cross-cutting topics,such as autonomous and ubiquitous systems, reconfigurable computing, mathematical models, neural networks, and artificial intelligence.

Produktdetails

• Lecture Notes in Computer Science 15839
• Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
• Artikelnr. des Verlages: 89579192, 978-3-032-03280-5
• Seitenzahl: 468
• Erscheinungstermin: 1. Dezember 2025
• Englisch
• Abmessung: 235mm x 155mm
• ISBN-13: 9783032032805
• ISBN-10: 3032032806
• Artikelnr.: 74925298

Inhaltsangabe

.- 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.