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

sperse

Performance Prediction for Sparse Matrix Vector Multiplication Using Structure-Dependent Featuresc computing, machine learning, and many other fields. Consequently, it has been studied extensively in the past decades, and many ideas for optimizing and predicting SpMV performance have been proposed. Unlike dense matrix operations, where performance is mostly determined by the floating-point capa

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Hemiparesis

Endometrium

Streaming IoT Data and the Quantum Edge: A Classic/Quantum Machine Learning Use Casee 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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Dynamic Adaptation of Urgent Applications in the Edge-to-Cloud Continuumnce 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

某人

0302-9743 uting, Euro-Par 2023, which took place in Limassol, Cyprus, during August 28–September 1, 2023...The 42 full papers presented in this book together with 11 symposium papers and 14 demo/poster papers were carefully reviewed and selected from 55 submissions. The papers cover covering all aspects of pa

朦胧

粗俗人

Zeittafel: Hans und Sophie Scholl,data when performing streaming aggregation. Together with a detailed algorithmic description, this work presents preliminary results from a fully implemented prototype on top of the Liebre SPE, showing the effectiveness of the proposed approach.

眉毛

Potentialkurven des Kommutators,6% on 2,560 MPI ranks for the two test cases. We demonstrate that communication, load imbalance and self-synchronization are important factors impacting the performance of the BIT1 on large-scale runs.

CLOWN

Die Gliederung der Datenverarbeitungsstelle, communication operations. In two application studies taken from the European aerospace industry we illustrate the usefulness of memory access diagrams for visualizing and understanding the logical causes of programming errors, performance flaws, and to find optimization opportunities.