Containing over 300 entries in an A-Z format, the Encyclopedia of Parallel Computing provides easy, intuitive access to relevant information for professionals and researchers seeking access to any aspect within the broad field of parallel computing. Topics for this comprehensive reference were selected, written, and peer-reviewed by an international pool of distinguished researchers in the field.  The Encyclopedia is broad in scope, covering machine organization, programming languages, algorithms, and applications.  Within each area, concepts, designs, and specific implementations are presented.  The highly-structured essays in this work comprise synonyms, a definition and discussion of the topic, bibliographies, and links to related literature. Extensive cross-references to other entries within the Encyclopedia support efficient, user-friendly searchers for immediate access to useful information.

The Encyclopedia of Parallel Computing covers machine organization, programming, algorithms, and applications. Within each topic area, the Encyclopedia covers concepts, designs, and specific implementations.

General concepts: Speedup.- Efficiency.- Redundancy.- Efficiency.- Isoefficiency.- Amdahl's law.- Computer architecture: Concepts.- Parallel machine designs.- Machines.- Benchmarks.- Parallel programming: Concepts.- Designs.- Algorithms: Concepts.- Algorithms.- Libraries.- SuperLU.- Parallel applications: Computational fluid dynamics.- Bio-molecular simulation (NMAD).- Cosmology.- Quantum Chemistry.