Titlebook: Architecture of Computing Systems; 37th International C Dietmar Fey,Benno Stabernack,Thilo Pionteck Conference proceedings 2024 The Editor(

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Yourself

nAIxt: A Light-Weight Processor Architecture for Efficient Computation of Neuron Modelsxity, it requires powerful computers. However, the high proportion of communication and routing makes general-purpose processing architectures, as used in supercomputers, inefficient. Dedicated hardware, such as ASICs, on the other hand, can be specifically adapted to this type of workload. However,

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An Approach Towards Distributed DNN Training on FPGA Clusters ethernet-based FPGA clusters. The NADA hardware framework instantiates a dedicated entity for each layer in a model. Features and gradients flow through these entities in a tightly pipelined manner. From a compact description of a model and target cluster, the NADA software framework generates spec

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Mobile

An Efficient Multi Quantile Regression Network with Ad Hoc Prevention of Quantile Crossingntile crossing and enhance computational efficiency. Integrating ad hoc sorting in training, the SCQRNN ensures non-intersecting quantiles, boosting model reliability and interpretability. We demonstrate that the SCQRNN not only prevents quantile crossing and reduces computational complexity but als

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Modifiable Artificial DNA - Change Your System’s ADNA at Any Timeess and adaptability of distributed embedded systems. These systems then have the properties of self-organization, self-healing, self-configuration and self-improvement. However, the adaptability of the system is limited by the rigidity of the ADNA, since it cannot be modified at runtime. Recent res

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From Structured to Unstructured: A Comparative Analysis of Computer Vision and Graph Models in Solvierformance computing environments. Focusing on structured, graded structured, and unstructured meshes, the study compares the performance and computational efficiency of three computer vision-based models against three graph-based models across three datasets. The research aims to identify the most

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Enhancing Maritime Behaviour Analysis Through Novel Feature Engineering and Digital Shadow Modelling. This paper presents an extension and utilisation of the Surface Vessel Nautical Behaviour Analysis (SV-NBA) framework for in-depth spatio-temporal analysis of maritime surface vessels’ behaviour in Kiel Fjord. Leveraging one year of collected Automatic Identification System (AIS) data, we extracte

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Towards the Online Reconfiguration of a Dependable Distributed On-Board Computerpendability. However, these systems typically consist of expensive, slow, fault-tolerant hardware to cope with errors or failures during a mission. Commercial-off-the-shelf (COTS) components offer higher performance but do not provide the fault-tolerance mechanisms. The . architecture uses COTS and