Introduction to Parallel Computing: A Practical Guide with Examples in C by W. P. Petersen and P. Arbenz
Book Description :-
This book have been developed and offered in many institutions in the UK, Europe and US as recognition of the growing significance of this topic in mathematics and computer science. There is a clear need for texts that meet the needs of students and lecturers and this book, based on the author's lecture at ETH Zurich 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. Aimed at advanced undergraduate and graduate students in applied mathematics, computer science and engineering, subjects covered include linear algebra, fast Fourier transform, and Monte-Carlo simulations, including examples in C and in some cases Fortran. This book takes into account these new developments as well as covering the more traditional problems addressed by parallel computers. Where possible it employs an architecture-independent view of the underlying platforms and designs algorithms for an abstract model. Message Passing Interface (MPI), POSIX threads and Open MP have been selected as programming models and the evolving application mix of parallel computing is reflected in various examples throughout the book.
Book Details :-
Paperback: 288 pages
Publisher: Oxford University Press, USA (March 25, 2004)
Language: English
ISBN-10: 0198515774
ISBN-13: 978-0198515777
Book Description :-
This book have been developed and offered in many institutions in the UK, Europe and US as recognition of the growing significance of this topic in mathematics and computer science. There is a clear need for texts that meet the needs of students and lecturers and this book, based on the author's lecture at ETH Zurich 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. Aimed at advanced undergraduate and graduate students in applied mathematics, computer science and engineering, subjects covered include linear algebra, fast Fourier transform, and Monte-Carlo simulations, including examples in C and in some cases Fortran. This book takes into account these new developments as well as covering the more traditional problems addressed by parallel computers. Where possible it employs an architecture-independent view of the underlying platforms and designs algorithms for an abstract model. Message Passing Interface (MPI), POSIX threads and Open MP have been selected as programming models and the evolving application mix of parallel computing is reflected in various examples throughout the book.
Book Details :-
Paperback: 288 pages
Publisher: Oxford University Press, USA (March 25, 2004)
Language: English
ISBN-10: 0198515774
ISBN-13: 978-0198515777
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