An Introduction to Parallel Programming
Autor Peter Pacheco, Matthew Malenseken Limba Engleză Paperback – 15 noi 2021
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 chapters on GPU programming and heterogeneous programming
- New examples and exercises related to parallel algorithms
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Specificații
ISBN-10: 0128046058
Pagini: 496
Ilustrații: 65 illustrations
Dimensiuni: 191 x 235 x 23 mm
Greutate: 0.78 kg
Ediția:2
Editura: ELSEVIER SCIENCE
Public țintă
Students in undergraduate parallel programming or parallel computing courses designed for the computer science major or as a service course to other departments; professionals with no background in parallel computing.Cuprins
1. Why Parallel Computing 2. Parallel Hardware and Parallel Software 3. Distributed Memory Programming with MPI 4. Shared Memory Programming with Pthreads 5. Shared Memory Programming with OpenMP 6. GPU Programming 7. Heterogeneous Programming 8. Parallel Program Development 9. Where to Go from Here
Descriere
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