In the last few years, courses on parallel comp0utation have been developed and offered in many institutions as recognition of the growing significance of this topic in mathematics and computer science. This book is an ideal practical student guide to scientific computing on parallel computers working up from a hardware instruction level, to shared memory machines, and finally to distributed memory machines. The subject covered include linear algebra, fast fourier transform, Monte-Carlo simulations, and related topics, including examples in C but using Fortran numerical library conventions. The contents of this book are a distillation of many projects which have subsequently become the material for a course on parallel computing given for several years at the Swiss Federal institute of Technology in Zurich. \n\nKey Features: \nA practical student guide to scientific computing on parallel computers \nExplanation by clear and easy to follow examples in C and Fortran Includes theoretical background to examples \nUnique coverage of parallelism on microprocessors \nAppendix includes glossary of terms, and notations and symbols