Numerical algorithms, modern programming techniques, and parallel computing are often taught serially across different courses and different textbooks. The need

Parallel Scientific Computation presents a methodology for designing parallel algorithms and writing parallel computer programs for modern computer architecture

The era of practical parallel programming has arrived, marked by the popularity of the MPI and OpenMP software standards and the emergence of commodity clusters

This easy-to-read textbook/reference presents an essential guide to object-oriented C++ programming for scientific computing. With a practical focus on learning

Mathematics of Computing -- Parallelism.