High-Performance Scientific Computing: Algorithms and Applications

Co-Editor: Michael Berry
Editor info: Professor of Electrical Engineering and Computer Science
Publication Date: January 2012
Publisher: Springer
Synopsis: This book presents the state of the art in parallel numerical algorithms, applications, architectures, and system software. The book examines various solutions for issues of concurrency, scale, energy efficiency, and programmability, which are discussed in the context of a diverse range of applications. Features include contributions from an international selection of world-class authorities; an examination of parallel algorithm-architecture interaction through issues of computational capacity-based codesign and automatic restructuring of programs using compilation techniques; and a presentation of outstanding challenges and developing technologies, placed in their historical context.