Parallel Computing on Heterogeneous Networks

Parallel Computing on Heterogeneous Networks
Author: Alexey L. Lastovetsky
Publisher: John Wiley & Sons
Total Pages: 440
Release: 2008-05-02
Genre: Computers
ISBN: 0470349484

New approaches to parallel computing are being developed that make better use of the heterogeneous cluster architecture Provides a detailed introduction to parallel computing on heterogenous clusters All concepts and algorithms are illustrated with working programs that can be compiled and executed on any cluster The algorithms discussed have practical applications in a range of real-life parallel computing problems, such as the N-body problem, portfolio management, and the modeling of oil extraction

Parallel Computing on Heterogeneous Networks

Parallel Computing on Heterogeneous Networks
Author: Alexey Lastovetsky
Publisher: Wiley-Interscience
Total Pages: 452
Release: 2003-06-19
Genre: Computers
ISBN:

New approaches to parallel computing are being developed that make better use of the heterogeneous cluster architecture Provides a detailed introduction to parallel computing on heterogenous clusters All concepts and algorithms are illustrated with working programs that can be compiled and executed on any cluster The algorithms discussed have practical applications in a range of real-life parallel computing problems, such as the N-body problem, portfolio management, and the modeling of oil extraction

High Performance Heterogeneous Computing

High Performance Heterogeneous Computing
Author: Jack Dongarra
Publisher: John Wiley & Sons
Total Pages: 284
Release: 2009-08-11
Genre: Computers
ISBN: 0470508191

An analytical overview of the state of the art, open problems, and future trends in heterogeneous parallel and distributed computing This book provides an overview of the ongoing academic research, development, and uses of heterogeneous parallel and distributed computing in the context of scientific computing. Presenting the state of the art in this challenging and rapidly evolving area, the book is organized in five distinct parts: Heterogeneous Platforms: Taxonomy, Typical Uses, and Programming Issues Performance Models of Heterogeneous Platforms and Design of Heterogeneous Algorithms Performance: Implementation and Software Applications Future Tre High Performance Heterogeneous Computing is a valuable¿reference for researchers and practitioners in the area of high performance heterogeneous computing. It also serves as an excellent supplemental text for graduate and postgraduate courses in related areas.

Algorithms and Tools for Parallel Computing on Heterogeneous Clusters

Algorithms and Tools for Parallel Computing on Heterogeneous Clusters
Author: Frédéric Desprez
Publisher: Nova Publishers
Total Pages: 122
Release: 2007
Genre: Computers
ISBN: 9781600210495

This book features chapters which explore algorithms, programming languages, systems, tools and theoretical models aimed at high performance computing on heterogeneous networks of computers.

Heterogeneous Computing

Heterogeneous Computing
Author: Mary M. Eshaghian
Publisher: Artech House Publishers
Total Pages: 396
Release: 1996
Genre: Computers
ISBN:

This first-ever book to describe the emerging field of heterogeneous computing shows exactly how all kinds of dissimilar processors can be linked to achieve the power of the supercomputer. It's a highly informative reference for research and development scientists, software engineers, high-level consultants and graduate students involved in this new field.

An Introduction to Parallel Programming

An Introduction to Parallel Programming
Author: Peter Pacheco
Publisher: Morgan Kaufmann
Total Pages: 498
Release: 2021-08-27
Genre: Computers
ISBN: 012804618X

An Introduction to Parallel Programming, Second Edition presents a tried-and-true tutorial approach that shows students how to develop effective parallel programs with MPI, Pthreads and OpenMP.As the first undergraduate text to directly address compiling and running parallel programs on multi-core and cluster architecture, this second edition carries forward its clear explanations for designing, debugging and evaluating the performance of distributed and shared-memory programs while adding coverage of accelerators via new content on GPU programming and heterogeneous programming. New and improved user-friendly exercises teach students how to compile, run and modify example programs. Takes a tutorial approach, starting with small programming examples and building progressively to more challenging examples Explains how to develop parallel programs using MPI, Pthreads and OpenMP programming models A robust package of online ancillaries for instructors and students includes lecture slides, solutions manual, downloadable source code, and an image bank New to this edition: New chapters on GPU programming and heterogeneous programming New examples and exercises related to parallel algorithms