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Practical Parallel Programming (Scientific & Engineering Computation) (Englisch) Gebundene Ausgabe – Dezember 1995

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Parallel computers have become widely available in recent years. Many scientists are now using them to investigate the grand challenges of science, such as modelling global climate change, determining the masses of elementary particles from first principles, or sequencing the human genome. However, software for parallel computers has developed far more slowly than the hardware. Many incompatible programming systems exist, and many useful programming techniques are not widely known. "Practical Parallel Programming" provides scientists and engineers with a detailed, informative and often critical introduction to parallel programming techniques. Following a review of the fundamentals of parallel computer theory and architecture, it describes four of the most popular parallel programming models in use today - data parallelism, shared variables, message passing, and Linda - and shows how each can be used to solve various scientific and numerical problems.

Examples, coded in various dialects of Fortran, are drawn from such domains as the solution of partial differential equations, solution of linear equations, the simulation of cellular automata, studies of rock fracturing and image processing. "Practical Parallel Programming" should be particularly helpful for scientists and engineers who use high-performance computers to solve numerical problems and do physical simulations but who have little experience of networking or concurrency. The book can also be used by advanced undergraduate and graduate students in computer science in conjunction with material covering parallel architecture and algorithms in more detail. Computer science students should gain a critical appraisal of the current state of the art in parallel programming. The language used in the book, Fortran-K, is a subset of Fortran-90. It is described in an appendix and a compiler for it is freely available from the MIT Press ftp site.


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