Detalles del libro
Formato
Kindle
Páginas
1,046
Idioma
Inglés
Publicado
Jan 1, 2013
Editorial
Springer
Edición
2013
ISBN-10
3642164056
ISBN-13
9783642164057
Descripción
David A. Yuen explores the transformative potential of GPU computing across various scientific and engineering disciplines. By delving into multi-scale problems, the author illustrates how this advanced technology can significantly enhance computational efficiency and effectiveness. The book serves as a comprehensive guide, merging theoretical foundations with practical applications that span a wide range of fields, from earth sciences to engineering.
Yuen meticulously details the intricacies of applying GPU solutions to complex problems, highlighting case studies and real-world scenarios that exemplify the power of parallel computing. Readers are introduced to various algorithms and techniques, gaining insight into how these methods can be leveraged to tackle challenges that were previously insurmountable with traditional computing approaches.
The narrative is both informative and accessible, catering to scholars, researchers, and practitioners keen on harnessing the capabilities of GPU technology. By bridging the gap between cutting-edge research and application, the book positions itself as an essential resource for those eager to advance their understanding of computational methods in multi-scale contexts.
Yuen meticulously details the intricacies of applying GPU solutions to complex problems, highlighting case studies and real-world scenarios that exemplify the power of parallel computing. Readers are introduced to various algorithms and techniques, gaining insight into how these methods can be leveraged to tackle challenges that were previously insurmountable with traditional computing approaches.
The narrative is both informative and accessible, catering to scholars, researchers, and practitioners keen on harnessing the capabilities of GPU technology. By bridging the gap between cutting-edge research and application, the book positions itself as an essential resource for those eager to advance their understanding of computational methods in multi-scale contexts.
Géneros
Ciencia y Tecnología