Distributed and Parallel Computing

Addresses technical issues facing the convergence of architectural and software issues, with an emphasis on software. Coverage encompasses performance and architecture, theory and complexity analysis of parallel algorithms, design and scheduling of distributed and parallel tasks, and programming languages and systems for writing distributed and parallel programs. Cutting across these broad topical areas are various programming paradigms, such as data parallel, control parallel, and distributed programming. Includes chapter problems. For senior undergraduate or beginning graduate students in courses in engineering, science, and computer science degree programs, and for practitioners working as programmers, managers, and technologists. Annotation c. by Book News, Inc., Portland, Or.