An Introduction to Parallel Programming

— —

Peter Pacheco (University of San Francisco, USA) Matthew Malensek (Assistant Professor, Department of Computer Science, University of San Francisco, CA, USA)

An Introduction to Parallel Programming

Peter Pacheco (University of San Francisco, USA), Matthew Malensek (Assistant Professor, Department of Computer Science, University of San Francisco, CA, USA)

$101.95

Paperback

Not in-store but you can order this
How long will it take?

Availability Information

We source books from suppliers in Australia and overseas. For books we don't currently have in stock, the time it takes to get them from our suppliers can vary widely - from a few days to a few months - so we check each book with each supplier to determine the expected time it will take to be supplied to us.

We then advise you accordingly. If the time taken to get any book is too long for you, you can let us know and we will cancel or adjust your order, and refund as required.

To find out the anticipated arrival time for specific items prior to ordering, please contact us by phone or email:

Phone +61 2 9264 3111, or 1800 4 BOOKS (1800 4 26657) if outside Sydney:
option 1 Abbey's Bookshop (Crime, History, Science, Kids & more) • info@abbeys.com.au
option 2 Language Book Centre (ESL & Foreign Languages) • language@abbeys.com.au
option 3 Galaxy Bookshop (Sci-fi, Fantasy, Romance, Graphic Novels) • sf@galaxybooks.com.au

QTY:

English

Morgan Kaufmann Publishers In
27 October 2021

Discrete mathematics; Computer programming & software development; Algorithms & data structures; Programming & scripting languages: general; Computer architecture & logic design

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.

By: Peter Pacheco (University of San Francisco USA), Matthew Malensek (Assistant Professor, Department of Computer Science, University of San Francisco, CA, USA)
Imprint: Morgan Kaufmann Publishers In
Country of Publication: United States
Edition: 2nd edition
Dimensions: Height: 235mm, Width: 191mm,
Weight: 770g
ISBN: 9780128046050
ISBN 10: 0128046058
Pages: 496
Publication Date: 27 October 2021
Audience: College/higher education , Primary
Format: Paperback
Publisher's Status: Active

Peter Pacheco received a PhD in mathematics from Florida State University. After completing graduate school, he became one of the first professors in UCLA’s “Program in Computing, which teaches basic computer science to students at the College of Letters and Sciences there. Since leaving UCLA, he has been on the faculty of the University of San Francisco. At USF Peter has served as chair of the computer science department and is currently chair of the mathematics department.His research is in parallel scientific computing. He has worked on the development of parallel software for circuit simulation, speech recognition, and the simulation of large networks of biologically accurate neurons. Peter has been teaching parallel computing at both the undergraduate and graduate levels for nearly twenty years. He is the author of Parallel Programming with MPI, published by Morgan Kaufmann Publishers. 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.