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This book presents the state of the art in High-Performance Computing on modern supercomputer architectures. It addresses trends in hardware and software development in general. The contributions cover a broad range of topics, from performance evaluations in context with power efficiency to Computational Fluid Dynamics and High-Performance Data Analytics. In addition, they explore new topics like the use of High-Performance Computers in the field of Artificial Intelligence and Machine Learning. All contributions are based on selected papers presented in 2021 at the 31st Workshop on Sustained Simulation Performance, WSSP31, held at HLRS in Stuttgart, Germany, and WSSP32, held at Tohoku University in Sendai, Japan.

Mathematics—Data processing. --- Computer simulation. --- Engineering mathematics. --- Engineering—Data processing. --- Computational Science and Engineering. --- Computer Modelling. --- Mathematical and Computational Engineering Applications. --- Engineering --- Engineering analysis --- Mathematical analysis --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Mathematics --- Computer engineering --- Computer simulation --- High performance computing --- Simulació per ordinador --- Càlcul intensiu (Informàtica) --- Enginyeria d'ordinadors

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This book presents the state-of-the-art in supercomputer simulation. It includes the latest findings from leading researchers using systems from the High Performance Computing Center Stuttgart (HLRS) in 2017. The reports cover all fields of computational science and engineering ranging from CFD to computational physics and from chemistry to computer science with a special emphasis on industrially relevant applications. Presenting findings of one of Europe’s leading systems, this volume covers a wide variety of applications that deliver a high level of sustained performance.The book covers the main methods in high-performance computing. Its outstanding results in achieving the best performance for production codes are of particular interest for both scientists and engineers. The book comes with a wealth of color illustrations and tables of results.

High performance computing --- Mathematics. --- Chemistry, Physical and theoretical. --- Computer simulation. --- Computer science --- Computer mathematics. --- Physics. --- Computational Science and Engineering. --- Theoretical, Mathematical and Computational Physics. --- Mathematical and Computational Engineering. --- Theoretical and Computational Chemistry. --- Simulation and Modeling. --- Mathematical Applications in Computer Science. --- Computer science. --- Engineering mathematics. --- Chemistry. --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Physical sciences --- Engineering --- Engineering analysis --- Mathematical analysis --- Informatics --- Science --- Mathematics --- Mathematical physics. --- Applied mathematics. --- Computer science—Mathematics. --- Chemistry, Theoretical --- Physical chemistry --- Theoretical chemistry --- Chemistry --- Physical mathematics --- Physics --- Computer mathematics --- Electronic data processing

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This book presents the proceedings of the 10th International Parallel Tools Workshop, held October 4-5, 2016 in Stuttgart, Germany – a forum to discuss the latest advances in parallel tools. High-performance computing plays an increasingly important role for numerical simulation and modelling in academic and industrial research. At the same time, using large-scale parallel systems efficiently is becoming more difficult. A number of tools addressing parallel program development and analysis have emerged from the high-performance computing community over the last decade, and what may have started as collection of small helper script has now matured to production-grade frameworks. Powerful user interfaces and an extensive body of documentation allow easy usage by non-specialists.