An Introduction to Parallel Programming

2. Auflage 2021
ISBN: 978-0-12-804605-0
Verlag: Elsevier Science

Buch, Englisch, 496 Seiten, Format (B × H): 189 mm x 232 mm, Gewicht: 780 g

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.

Zielgruppe

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.

Autoren/Hrsg.

Pacheco, Peter

Malensek, Matthew

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Funktionale, Logische, Parallele und Visuelle Programmierung
• Mathematik | Informatik EDV | Informatik Technische Informatik Grid-Computing & Paralleles Rechnen

Inhaltsverzeichnis

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 with CUDA
7. Parallel program development
8. Where to go from here

Über Autor(innen)

Malensek, Matthew
Matthew Malensek is an Assistant Professor in the Department of Computer Science at the University of San Francisco. His research interests are centered around big data, parallel/distributed systems, and cloud computing. This includes systems approaches for processing and managing data at scale in a variety of domains, including fog computing and Internet of Things (IoT) devices.