Parallel Distributed Processing Techniques (43 results)
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Taschenbuch. Condition: Neu. Neuware - Multidisciplinary design optimization (MDO) for large-scale engineering problems poses many challenges (e.g., the design of an efficient concurrent paradigm for global optimization based on disciplinary analyses, expensive computations over vast data sets, etc.) This work focuses on the app…lication of distributed schemes for massively parallel architectures to MDO problems, as a tool for reducing computation time and solving larger problems. The specific problem considered here is configuration optimization of a high speed civil transport (HSCT), and the efficient parallelization of the embedded paradigm for reasonable design space identification. Two distributed dynamic load balancing techniques (random polling and global round robin with message combining) and two necessary termination detection schemes (global task count and token passing) were implemented and evaluated in terms of effectiveness and scalability to large problem sizes and a thousand processors. The effect of certain parameters on execution time was also inspected. Empirical results demonstrated stable performance and effectiveness for all schemes, and the parametric study showed that the selected algorithmic parameters have a negligible effect on performance.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
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Parallel and Distributed Processing Techniques : 30th International Conference, PDPTA 2024, Held as Part of the World Congress in Computer Science, Computer Engineering and Applied Computing, CSCE 2024, Las Vegas, NV, USA, July 22?25, 2024, Revised Selected Papers
Arabnia, Hamid R. (EDT); Takata, Masami (EDT); Deligiannidis, Leonidas (EDT); Rivas, Pablo (EDT); Ohue, Masahito (EDT)
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Parallel and Distributed Processing Techniques : 30th International Conference, PDPTA 2024, Held as Part of the World Congress in Computer Science, Computer Engineering and Applied Computing, CSCE 2024, Las Vegas, NV, USA, July 22?25, 2024, Revised Selected Papers
Arabnia, Hamid R. (EDT); Takata, Masami (EDT); Deligiannidis, Leonidas (EDT); Rivas, Pablo (EDT); Ohue, Masahito (EDT)
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Buch. Condition: Neu. Neuware - Multidisciplinary design optimization (MDO) for large-scale engineering problems poses many challenges (e.g., the design of an efficient concurrent paradigm for global optimization based on disciplinary analyses, expensive computations over vast data sets, etc.) This work focuses on the applicatio…n of distributed schemes for massively parallel architectures to MDO problems, as a tool for reducing computation time and solving larger problems. The specific problem considered here is configuration optimization of a high speed civil transport (HSCT), and the efficient parallelization of the embedded paradigm for reasonable design space identification. Two distributed dynamic load balancing techniques (random polling and global round robin with message combining) and two necessary termination detection schemes (global task count and token passing) were implemented and evaluated in terms of effectiveness and scalability to large problem sizes and a thousand processors. The effect of certain parameters on execution time was also inspected. Empirical results demonstrated stable performance and effectiveness for all schemes, and the parametric study showed that the selected algorithmic parameters have a negligible effect on performance.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
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Parallel and Distributed Processing Techniques : 30th International Conference, PDPTA 2024, Held as Part of the World Congress in Computer Science, Computer Engineering and Applied Computing, CSCE 2024, Las Vegas, NV, USA, July 22?25, 2024, Revised Selected Papers
Arabnia, Hamid R. (EDT); Takata, Masami (EDT); Deligiannidis, Leonidas (EDT); Rivas, Pablo (EDT); Ohue, Masahito (EDT)
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Parallel and Distributed Processing Techniques : 30th International Conference, PDPTA 2024, Held as Part of the World Congress in Computer Science, Computer Engineering and Applied Computing, CSCE 2024, Las Vegas, NV, USA, July 22?25, 2024, Revised Selected Papers
Arabnia, Hamid R. (EDT); Takata, Masami (EDT); Deligiannidis, Leonidas (EDT); Rivas, Pablo (EDT); Ohue, Masahito (EDT)
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Taschenbuch. Condition: Neu. Parallel and Distributed Processing Techniques | 30th International Conference, PDPTA 2024, Held as Part of the World Congress in Computer Science, Computer Engineering and Applied Computing, CSCE 2024, Las Vegas, NV, USA, July 22-25, 2024, Revised Selected Papers | Hamid R. Arabnia (u. a.) | Taschen…buch | Communications in Computer and Information Science | xvii | Englisch | 2025 | Springer | EAN 9783031856372 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the proceedings of the 30th International Conference on Parallel and Distributed Processing Techniques, PDPTA 2024, held as part of the 2024 World Congress in Computer Science, Computer Engineering and Applied Computing, in La…s Vegas, USA, during July 22 to July 25, 2024.The 24 papers included in this book were carefully reviewed and selected from 143 submissions. They have been organized in topical sections as follows: Parallel and distributed processing techniques and applications and HPC and Workshop on Mathematical Modeling and Problem Solving.
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