Детали книги
Формат
электронная книга
Страницы
542
Язык
Английский
Опубликовано
Jan 1, 2004
Издатель
Elsevier Science
ISBN-10
1280966017
ISBN-13
9781280966019
Описание
This work explores the advancements in parallel computational fluid dynamics, focusing on the application of multiprocessor computer systems for numerical simulations. It delves into various methodologies and techniques that facilitate complex fluid dynamics simulations, demonstrating how parallel computing enhances efficiency and accuracy in computations.
The authors bring together their expertise to address the intricacies involved in fluid dynamics simulations, showcasing the benefits of leveraging parallel architectures. They discuss various algorithms and implementations that have been developed within this domain, providing insights into their practical applications and performance improvements.
Through a series of case studies and examples, the book illustrates how parallel computing can overcome traditional computational limitations, enabling researchers and engineers to tackle increasingly challenging fluid dynamics problems. This comprehensive exploration serves as a valuable resource for anyone interested in the progression and application of parallel computing in the field of fluid dynamics.
The authors bring together their expertise to address the intricacies involved in fluid dynamics simulations, showcasing the benefits of leveraging parallel architectures. They discuss various algorithms and implementations that have been developed within this domain, providing insights into their practical applications and performance improvements.
Through a series of case studies and examples, the book illustrates how parallel computing can overcome traditional computational limitations, enabling researchers and engineers to tackle increasingly challenging fluid dynamics problems. This comprehensive exploration serves as a valuable resource for anyone interested in the progression and application of parallel computing in the field of fluid dynamics.
Жанры
Наука и технологии