Titlebook: Euro-Par 2023: Parallel Processing Workshops; Euro-Par 2023 Intern Demetris Zeinalipour,Dora Blanco Heras,Pierangelo Conference proceeding

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Die Globalisierung der sozialen Bewegungene learning applications, which are the cornerstone of urgent analytics in distributed computing. Quantum machine learning could be a solution for the increasing demand of urgent analytics, providing potential theoretical speedups and increased space efficiency. However, challenges such as (1) the en

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https://doi.org/10.1007/978-3-531-90624-9nce facilitating efficient decision-making processes in numerous fields. Adaptation of such applications to produce outcomes within the desired confidence range and defined time interval can be of great benefit, especially in distributed and heterogeneous execution contexts. This study provides a ju

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978-3-031-50683-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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Enhancing Performance Monitoring in C/C++ Programs with EDPM: A Domain-Specific Language for Performurations of regions. Furthermore, the design of EDPM is such that its pragmas are ignored by the standard compiler, allowing for seamless integration into existing software processes without disrupting build systems or increasing the size of the executable. Additionally, the design of the EDPM pre-c