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.
Computer science students will gain a critical appraisal of the current state of the art in parallel programming. The language used in the book, Fortran-K, is a subset of Fortran-90.
This is the book that will teach programmers to write faster, more efficient code for parallel processors.
In addition to covering general parallelism concepts, this text teaches practical programming skills for both shared memory and distributed memory architectures.
Advancements in microprocessor architecture, interconnection technology, and software development have fueled rapid growth in parallel and distributed computing.
This book addresses the basic issues of rendering within a parallel or distributed computing environment, and considers the strengths and weaknesses of multiprocessor machines and networked render farms for graphics rendering.
The book discusses the fundamentals of high-performance computing.
Although PRAM (Parallel Random Access Memory) is a well-known topic in parallel computing, its practical application has rarely been explored. This groundbreaking work changes all that. Written by world experts...
The work has been based on the concept of cellular automata which suits well the spatially distributed unique actuator systems . References [ 1 ] C. Atkinson , Object - Oriented Reuse , Concurrency and Distribution , ACM Press ...
This book is also ideal for practitioners and programmers.
The conjugate-gradient solver replaces the guess by the Solution u of the standard variational equation a(u, v) = L(v) Wv (10.3) using the preconditioner S. 10.2.3 Navier-Stokes Solver We have implemented a sophisticated incompressible ...