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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 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 2022 at the 33rd Workshop on Sustained Simulation Performance, WSSP33, held at HLRS in Stuttgart, Germany, and WSSP34, held at Tohoku University in Sendai, Japan.
Mathematics --- Computer simulation. --- Engineering mathematics. --- Engineering --- Computational Science and Engineering. --- Computer Modelling. --- Mathematical and Computational Engineering Applications. --- Data processing. --- Computer engineering --- Computer simulation --- High performance computing
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The new book series “The Science and Art of Simulation” (SAS) addresses computer simulations as a scientific activity and engineering artistry (in the sense of a technē). The first volume is devoted to three topics: 1. The Art of Exploring Computer Simulations Philosophy began devoting attention to computer simulations at a relatively early stage. Since then, the unquestioned point of view has been that computer simulation is a new scientific method; the philosophy of simulation is therefore part of the philosophy of science. The first section of this volume discusses this implicit, unchallenged assumption by addressing, from different perspectives, the question of how to explore (and how not to explore) research on computer simulations. Scientists discuss what is still lacking or considered problematic, while philosophers draft new directions for research, and both examine the art of exploring computer simulations. 2. The Art of Understanding Computer Simulations The results of computer simulations are integrated into both political and social decisions. It is implicitly assumed that the more detailed, and consequently more realistic, a computer simulation is, the more useful it will be in decision-making. However, this idea is by no means justified. Different types of computer simulations have to be differentiated, which in turn requires the specific skill of understanding computer simulation results. The articles in this section examine the capabilities and limits of simulation results in political and social contexts, exploring the art of understanding computer simulation results. 3. The Art of Knowing through Computer Simulations? The advent of computer simulation in today’s scientific practices challenges the order of science. What kind of knowledge is gained through computer simulations is the key question in this section. Computer simulations are often compared to experiments or to arguments, and the transformation of our traditional scientific notions might be more challenging than expected – these Ideas are put forward in the third section to conceptualize the art of knowing through computer simulations. .
Mathematics. --- Computer mathematics. --- Computational Science and Engineering. --- Computer simulation. --- Computer simulation --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Computer science. --- Informatics --- Science --- Computer mathematics --- Electronic data processing --- Mathematics
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The new book series “The Science and Art of Simulation” (SAS) addresses computer simulations as a scientific activity and engineering artistry (in the sense of a technē). The first volume is devoted to three topics: 1. The Art of Exploring Computer Simulations Philosophy began devoting attention to computer simulations at a relatively early stage. Since then, the unquestioned point of view has been that computer simulation is a new scientific method; the philosophy of simulation is therefore part of the philosophy of science. The first section of this volume discusses this implicit, unchallenged assumption by addressing, from different perspectives, the question of how to explore (and how not to explore) research on computer simulations. Scientists discuss what is still lacking or considered problematic, while philosophers draft new directions for research, and both examine the art of exploring computer simulations. 2. The Art of Understanding Computer Simulations The results of computer simulations are integrated into both political and social decisions. It is implicitly assumed that the more detailed, and consequently more realistic, a computer simulation is, the more useful it will be in decision-making. However, this idea is by no means justified. Different types of computer simulations have to be differentiated, which in turn requires the specific skill of understanding computer simulation results. The articles in this section examine the capabilities and limits of simulation results in political and social contexts, exploring the art of understanding computer simulation results. 3. The Art of Knowing through Computer Simulations? The advent of computer simulation in today’s scientific practices challenges the order of science. What kind of knowledge is gained through computer simulations is the key question in this section. Computer simulations are often compared to experiments or to arguments, and the transformation of our traditional scientific notions might be more challenging than expected – these Ideas are put forward in the third section to conceptualize the art of knowing through computer simulations. .
Computer science --- computers --- informatica --- informaticaonderzoek --- computerkunde
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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). 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. .
Mathematics. --- Computational Science and Engineering. --- Theoretical, Mathematical and Computational Physics. --- Appl.Mathematics/Computational Methods of Engineering. --- Theoretical and Computational Chemistry. --- Chemistry. --- Computer science. --- Engineering mathematics. --- Mathématiques --- Chimie --- Informatique --- Mathématiques de l'ingénieur --- Engineering -- Data processing. --- High performance computing. --- Science -- Data processing. --- Mathematics --- Physical Sciences & Mathematics --- Mathematics - General --- Science --- Engineering --- Data processing. --- Electronic data processing --- HPC (Computer science) --- Chemistry, Physical and theoretical. --- Computer mathematics. --- Physics. --- Applied mathematics. --- Cyberinfrastructure --- Supercomputers --- Mathematical and Computational Engineering. --- Physical sciences --- Engineering analysis --- Mathematical analysis --- Informatics --- Mathematical physics. --- Chemistry, Theoretical --- Physical chemistry --- Theoretical chemistry --- Chemistry --- Physical mathematics --- Physics --- Computer mathematics
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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 2015. 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.
Chemistry. --- Mathematics - General --- Mathematics --- Physical Sciences & Mathematics --- High performance computing. --- Science --- Engineering --- Data processing. --- Electronic data processing --- HPC (Computer science) --- Cyberinfrastructure --- Supercomputers --- Computer science. --- Engineering mathematics. --- Computational Science and Engineering. --- Theoretical, Mathematical and Computational Physics. --- Mathematical and Computational Engineering. --- Theoretical and Computational Chemistry. --- Physical sciences --- Engineering analysis --- Mathematical analysis --- Informatics --- Computer mathematics. --- Mathematical physics. --- Applied mathematics. --- Chemistry, Physical and theoretical. --- Chemistry, Theoretical --- Physical chemistry --- Theoretical chemistry --- Chemistry --- Physical mathematics --- Physics --- Computer mathematics
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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 2016. 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.
Mathematics. --- Chemistry, Physical and theoretical. --- Computer simulation. --- Computer science --- Computer mathematics. --- Physics. --- Applied mathematics. --- Engineering mathematics. --- Computational Science and Engineering. --- Theoretical, Mathematical and Computational Physics. --- Appl.Mathematics/Computational Methods of Engineering. --- Theoretical and Computational Chemistry. --- Simulation and Modeling. --- Mathematical Applications in Computer Science. --- Computer science. --- Chemistry. --- Mathematical and Computational Engineering. --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Engineering --- Engineering analysis --- Mathematical analysis --- Physical sciences --- Informatics --- Science --- Mathematics --- Mathematical physics. --- 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 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 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 2018. 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.
Computer science. --- Engineering mathematics. --- Chemistry. --- Computer simulation. --- 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 mathematics. --- Mathematical physics. --- Applied mathematics. --- Chemistry, Physical and theoretical. --- Computer science—Mathematics. --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Engineering --- Engineering analysis --- Mathematical analysis --- Mathematics --- Chemistry, Theoretical --- Physical chemistry --- Theoretical chemistry --- Chemistry --- Physical mathematics --- Physics --- Computer mathematics --- Electronic data processing
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High performance computing. --- HPC (Computer science) --- Electronic data processing --- Cyberinfrastructure --- Supercomputers --- Càlcul intensiu (Informàtica) --- Càlcul d'alt rendiment (Informàtica) --- Computació d'alt rendiment --- HPC (Informàtica) --- Informàtica d'alt rendiment --- Superinformàtica --- Informàtica --- Computació distribuïda --- Processament en paral·lel (Ordinadors) --- Superordinadors
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