May 2016
Beginner to intermediate
382 pages
7h 21m
English
Content preview from Mastering IPython 4.0Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Chapter 3. Stepping Up to IPython for Parallel Computing
In this chapter, we are going to look at the tools that IPython provides for parallel computing.
This chapter covers the following topics:
- Multi-tasking
- Threading
- Multi-processing
- IPython's parallel architecture
- Getting started with ipyparallel
- IPython parallel magic commands
- Types of parallelism
- SIMD and GPUs
- SPMD and MapReduce
- MIMD and MPMD
- Task farming and load balancing
- Data parallelism
- Application steering
Serial processes
When first learning to program, many students find it difficult to think in terms of doing "one thing at a time". The advent of parallel machines relaxed this restriction. Unfortunately, doing several things at the same time is even more difficult than doing one thing at a time. ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.