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This introduction is followed by a set of "vignettes" discussing problem classes which illustrate parallel programming and parallel algorithms
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Ordinary Differential Equations
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N body Problem by both O(N^2) and "fast multipole" O(N) method
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Numerical Integration including adaptive methods
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Floating Point Arithmetic
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Monte Carlo Methods including Random Numbers
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Full Matrix Algebra as in
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Computational Electromagnetism
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Computational Chemistry
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Partial Differential Equations implemented as sparse matrix problems (as in Computational Fluid Dynamics)
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Iterative Algorithms from Gauss Seidel to Conjugate Gradient
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Finite Element Methods
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Secs 96