Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletter Hub
Free Learning
Arrow right icon
timer SALE ENDS IN
0 Days
:
00 Hours
:
00 Minutes
:
00 Seconds
Arrow up icon
GO TO TOP
Parallel Programming with Python

You're reading from   Parallel Programming with Python Develop efficient parallel systems using the robust Python environment.

Arrow left icon
Product type Paperback
Published in Jun 2014
Publisher
ISBN-13 9781783288397
Length 124 pages
Edition 1st Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
 Palach Palach
Author Profile Icon Palach
Palach
Arrow right icon
View More author details
Toc

Table of Contents (10) Chapters Close

Preface 1. Contextualizing Parallel, Concurrent, and Distributed Programming 2. Designing Parallel Algorithms FREE CHAPTER 3. Identifying a Parallelizable Problem 4. Using the threading and concurrent.futures Modules 5. Using Multiprocessing and ProcessPoolExecutor 6. Utilizing Parallel Python 7. Distributing Tasks with Celery 8. Doing Things Asynchronously Index

Decomposing tasks with pipeline

The pipeline technique is used to organize tasks that must be executed in a collaborative way to resolve a problem. Pipeline breaks large tasks into smaller independent tasks that run in a parallel manner. The pipeline model could be compared to an assembly line at a vehicle factory where the chassis is the raw material, the input. As the raw material goes through different stages of production, several workers perform different actions one after another until the end of the process so that we can have a car ready. This model is very similar to the sequential paradigm of development; tasks are executed on data one after another, and normally, a task gets an input, which is the result of the previous task. So what differentiates this model from the sequential technique? Each stage of the pipeline technique possesses its own workers that act in a parallel way on the problem.

An example in the context of computing could be one in which a system processes images...

You have been reading a chapter from
Parallel Programming with Python
Published in: Jun 2014
Publisher:
ISBN-13: 9781783288397
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at €18.99/month. Cancel anytime
Modal Close icon
Modal Close icon