It takes the average reader 4 hours and 34 minutes to read Automatic Parallelization for a Class of Regular Computations by G M Megson
Assuming a reading speed of 250 words per minute. Learn more
The automatic generation of parallel code from high level sequential description is of key importance to the wide spread use of high performance machine architectures. This text considers (in detail) the theory and practical realization of automatic mapping of algorithms generated from systems of uniform recurrence equations (do-lccps) onto fixed size architectures with defined communication primitives. Experimental results of the mapping scheme and its implementation are given. Contents:Survey and Analysis of Partitioning and MappingImprovements to Some Existing Partitioning and Mapping MethodsA Methodology of Partitioning and Mapping for Given (N-1)-D Regular ArraysOptimal Mapping onto Lower-Dimensional Regular ArraysThe Structure of Parallel ProgramsParallel Code GenerationExperimental Results and DiscussionsConclusionBibliography Readership: Postgraduate students and researchers in academics & industry, compiler writers, computer scientists and electrical engineers. keywords:
Automatic Parallelization for a Class of Regular Computations by G M Megson is 272 pages long, and a total of 68,544 words.
This makes it 92% the length of the average book. It also has 84% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 6 hours and 14 minutes to read Automatic Parallelization for a Class of Regular Computations aloud.
Automatic Parallelization for a Class of Regular Computations is suitable for students ages 12 and up.
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