A collaborative effort written by 16 computer scientists describing the theory and implementation of system and network heterogeneous computing. System heterogeneous computing is defined as a single computer executing a task in both single and multiple instruction data modes. The network form collectively uses a suite of computers to execute a task. This text explains the modeling, mapping, scheduling and load balancing issues within the theory, and provides an introduction to programming environments, languages, and applications. Includes diagrams, codes, and equations. Annotation c. by Book News, Inc., Portland, Or.
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Dr. Mary Eshaghian is assistant professor and director of Advanced Computer Architecture and Parallel Processing at New Jersey Institute of Technology in Newark. A recipient of both the NSF Research Initiation Award and NJIT SBR Award, she earned her Ph.D. in computer engineering from the University of Southern California, and is a member of the Executive Committee of IEEE Technical Committee on Parallel Processing.
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