{"product_id":"architecture-of-computing-systems-9783032032805","title":"Architecture of Computing Systems","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003e.- Main Track :\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- Progressing Non-blocking Two-Sided Communication Using BlueField DPUs.\u003cbr\u003e.- Efficient Parallel Fuzzy Dilation for Visual Reasoning: Leveraging ARM CPUs and NVIDIA GPUs on Embedded Systems.\u003cbr\u003e.- Optimized Ternary Signed Digit Addition on Field Programmable Gate Arrays.\u003cbr\u003e.- FSST Compression of JSON Data on FPGAs.\u003cbr\u003e.- CHaOS: A Persistent Lightweight Cache Hybridization-aware OS.\u003cbr\u003e.- MxGPU: A Case Study on OS-Controlled GPGPU Multiplexing.\u003cbr\u003e.- Towards Complete Open-source Environments: FPGA-Based GPU Overlay Controlled by RISC-V.\u003cbr\u003e.- Revisiting Gradient Direction Algorithms in Electrostatic Placers.\u003cbr\u003e.- ZTL: Enabling Zoned Namespace Support for File Systems.\u003cbr\u003e.- Spend More to Save More (SM2): An Energy and Hardware-Aware Implementation of Successive Halving for Sustainable Hyperparameter Optimization.\u003cbr\u003e.- OpenVADL: An Open Source Implementation of the Vienna Architecture Description Language.\u003cbr\u003e.- A SIMD MAC RISC-V Extension with Approximate Multipliers for Accelerating CNN Inference in Tiny Embedded Devices.\u003cbr\u003e.- Wildcat: Educational RISC-V Microprocessors.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- Special Track on Organic Computing (OC) :\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- Location based Probabilistic Load Forecasting of EV Charging Sites: Deep Transfer Learning with Multi-Quantile Temporal Convolutional Network.\u003cbr\u003e.- Unsupervised Anomaly Detection in Cellular Modem Metrics Using Deep Autoencoders.\u003cbr\u003e.- Hyperparameter Optimization for PSO-Based Energy-Aware Path Planning for AUV Swarms.\u003cbr\u003e.- Process-Level Simulation Testbed for Assessing Field Robot Swarms.\u003cbr\u003e.- Neural Rules for Reinforcement Learning with XCSF as Controller in Organic Computing Systems.\u003cbr\u003e.- Evaluating Adaptive Systems: A Comparative Study of XCS and Established Reinforcement Learning Algorithms in Noisy Multi-Step Environments.\u003cbr\u003e.- A Measurement Framework at Global and Local Levels for Hybrid Organic Computing Systems.\u003cbr\u003e.- Exploring Model Quantization in GenAI-based Image Inpainting and Detection of Arable Plants.\u003cbr\u003e.- Unify: Uncertainty incorporated Federated Learning for Object Detection.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- Special Track on Dependability and Fault Tolerance (VERFE):\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- Extension of 2-bit error correcting BCH codes with simple decoding.\u003cbr\u003e.- Reduction of Average-Performance Degradation and Variance in Faulty CPU Cache Memories.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- PhD Forum :\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- A System Model for Flexible Multi-Objective Adaptation Planning in Hybrid Self-Adaptive and Self-Organizing Systems.\u003cbr\u003e.- Dynamic Multimodal Cyclist Behaviour Modelling: From Representation Insights to Federated Collaboration .\u003cbr\u003e.- Self-explanation of System Behaviour in Organic Computing Systems.\u003cbr\u003e.- Enhancing Dynamic Scene Understanding in Manual Assembly Processes.\u003cbr\u003e.- Situational Awareness by Audio Signals in Maritime Application .\u003cbr\u003e.- A Vision for Deep Reinforcement Learning with a Classi er System.\u003cbr\u003e.- AI-based computer vision methods to monitor emission-relevant parameters in livestock barns.\u003cbr\u003e.- Open the Black Box: Self-Explainability of AI in Autonomous Marine Systems.\u003cbr\u003e.- Leveraging Application-Speci c Knowledge for Energy-E cient Deep Learning Accelerators on Resource-Constrained FPGAs.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- Research Groups :\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- Presentation of the joint research project  FORnanoSatellites.\u003cbr\u003e.- Feedback-guided Dataset Shaping for Automated Downstream Task Optimization.\u003cbr\u003e.- Disruptive Memory Technologies: An Overview of DFG Priority Program 2377.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":53195517165911,"sku":"9783032032805","price":59.99,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/architecture-of-computing-systems-9783032032805","provider":"Book Curl","version":"1.0","type":"link"}