Parallel Scientific Computation

Parallel Scientific Computation presents a methodology for designing parallel algorithms and writing parallel computer programs for modern computer architectures with multiple processors.

The author presents a detailed study describing how parallel computation can be applied to a collection of numerical problems. He considers LU decomposition of dense matrices, the fast Fourier transform (FFT), multiplication of a sparse matrix by a dense vector, as well as matching vertices in a sparse graph and sorting. He uses these to teach design and implementation of well-structured efficient parallel algorithms...The book is best suited for a graduate course in parallel scientific processing for mathematics or computer science students.

Rob Bisseling is a full professor in Scientific Computing at the Mathematics Institute of Utrecht University, where he has held a position since 1993. Previously, he worked as a research mathematician at the Shell laboratory in Amsterdam, where he investigated various applications of parallel computing.