September 2014
Intermediate to advanced
512 pages
12h 39m
English
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Parallelizing code with MPI in IPython
Message Passing Interface (MPI) is a standardized communication protocol for parallel systems. It is used in many parallel computing applications to exchange data between nodes. MPI has a high barrier to entry, but it is very efficient and powerful.
IPython's parallel computing system has been designed from the ground up to work with MPI. If you are new to MPI, it is a good idea to start using it from IPython. If you are an experienced MPI user, you will find that IPython integrates seamlessly with your parallel application.
In this recipe, we will see how to use MPI with IPython through a very simple example.
Getting ready
To use MPI with IPython, you need:
- A standard MPI implementation such as OpenMPI available ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.