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Parallel programming models applicable to cluster computing and beyond. (English) Zbl 1112.68342

Bruaset, Are Magnus (ed.) et al., Numerical solution of partial differential equations on parallel computers. Berlin: Springer (ISBN 3-540-29076-1/pbk). Lecture Notes in Computational Science and Engineering 51, 3-54 (2006).
Summary: This chapter centers mainly on successful programming models that map algorithms and simulations to computational resources used in high-performance computing. These resources range from group-based or departmental clusters to high-end resources available at the handful of supercomputer centers around the world. Also covered are newer programming models that may change the way we program high-performance parallel computers.
For the entire collection see [Zbl 1084.65001].

MSC:

68N19 Other programming paradigms (object-oriented, sequential, concurrent, automatic, etc.)
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