Practical Parallel Programming


Download Practical Parallel Programming PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Practical Parallel Programming book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.

Download

Practical Parallel Programming


Practical Parallel Programming

Author: Barr E. Bauer

language: en

Publisher: Academic Press

Release Date: 2014-06-28


DOWNLOAD





This is the book that will teach programmers to write faster, more efficient code for parallel processors. The reader is introduced to a vast array of procedures and paradigms on which actual coding may be based. Examples and real-life simulations using these devices are presented in C and FORTRAN.

Practical Parallel Programming


Practical Parallel Programming

Author: Barr E. Bauer

language: en

Publisher:

Release Date: 1992


DOWNLOAD





This is the book that will teach programmers to write faster, more efficient code for parallel processors. The reader is introduced to a vast array of procedures and paradigms on which actual coding may be based. Examples and real-life simulations using these devices are presented in C and FORTRAN.

Practical Parallel Computing


Practical Parallel Computing

Author: H. Stephen Morse

language: en

Publisher: Academic Press

Release Date: 2014-05-10


DOWNLOAD





Practical Parallel Computing provides information pertinent to the fundamental aspects of high-performance parallel processing. This book discusses the development of parallel applications on a variety of equipment. Organized into three parts encompassing 12 chapters, this book begins with an overview of the technology trends that converge to favor massively parallel hardware over traditional mainframes and vector machines. This text then gives a tutorial introduction to parallel hardware architectures. Other chapters provide worked-out examples of programs using several parallel languages. This book deals as well with benchmarking and performance estimation on parallel machines. The final chapter provides a structured, flexible methodology for selecting a parallel machine and for integrating it into operations. This book is a valuable resource for readers who are confronted with the practical realities of parallel computing for the first time. Mid-level technical managers, algorithm designers, computer scientists, and doctorate-level mathematicians will also find this book extremely useful.