High Performance Cluster Computing

Bol

The book is organized into three areas: programming environments and development tools; Java as a language of choice for development in highly-parallel systems; and state-of-the-art high-performance algorithms and applications.Coverage includes new parallel programming techniques and tools, including MP and PVM, active objects, scoped behavior, LiPS, wide-area application OS services, and approaches to debugging. You'll find detailed coverage of high-performance clustered Web sewers and Web-based applications, as well as many other applications, including real-time resource management, climate ocean modeling, parallel reflexive reasoning systems, and content-based image retrieval.

Bol Partner

A comprehensive guide to state-of-the art clusters technology for professionals and graduate-level CS students. Covers hardware as well as software issues, including topics such as: active messages and lightweight protocols, message passing systems. Cluster computers can deliver better performance than traditional mainframes and super computers at a much lower hardware cost.