Reseña

A comprehensive guide to today's most advanced R&D in highly parallel programming and applications. Volume 1 of this two-volume set collected today's best work on the systems aspects of high performance cluster computing. Now, in High Performance Cluster Computing: Programming and Application Issues, Volume 2, Rajkumar Buyya brings together the world's leading work on programming and applications for today's state-of-the-art "commodity supercomputers." The book is organized into three areas: programming environments and development tools; Java(tm) as a language of choice for development in highly parallel systems; and state-of-the-art high performance algorithms and applications. All three areas have seen major advances in recent years-and in all three areas, this book offers unprecented breadth and depth. Coverage includes: New parallel programming techniques and tools, including MP and PVM, active objects, scoped behavior, and LiPS. State-of-the-art debuggng techniques: Code liberation, global renaming, name reclamation, and debugging interfaces. The WebOS: Designing operating system services for wide-area applications. Leveraging Java(tm) to the fullest: Distributed objects, the HPspmd model, and more. Clustered Web servers and other high performance Web applications. Real-time resource management, climate ocean modeling, parallel reflexive reasoning, content-based image retrieval, biomedical applications, and more.