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Julien Lengrand-Lambert
2018-03-17 11:41:01 +01:00
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_posts/2011-12-29-multiprocessing-using-python.markdown
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@@ -6,9 +6,9 @@ title: Multiprocessing using Python
author: Julien Lengrand-Lambert
author_login: jlengrand
author_email: julien@lengrand.fr
author_url: https://www.lengrand.fr
author_url: http://www.lengrand.fr
wordpress_id: 480
wordpress_url: https://www.lengrand.fr/?p=480
wordpress_url: http://www.lengrand.fr/?p=480
date: 2011-12-29 14:07:46.000000000 +01:00
categories:
- Python
@@ -35,7 +35,7 @@ comments:
- id: 226
author: Julien Lengrand-Lambert
author_email: julien@lengrand.fr
author_url: https://www.lengrand.fr
author_url: http://www.lengrand.fr
date: !binary |-
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@@ -47,7 +47,7 @@ comments:
- id: 269
author: Twiggy
author_email: rabikm@rediffmail.com
author_url: https://www.yahoo.com/
author_url: http://www.yahoo.com/
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@@ -56,14 +56,14 @@ comments:
- id: 282
author: Julien Lengrand-Lambert
author_email: julien@lengrand.fr
author_url: https://www.lengrand.fr
author_url: http://www.lengrand.fr
date: !binary |-
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content: Well, Glad it helped ;)
---
Some time ago, I worked with real time processing of sonar images. My job was to detect mines on both sides of an <strong><a title="UUV" href="https://www.globalsecurity.org/intell/systems/uuv.htm">UUV</a></strong> equipped with <strong><a title="side scan sonar" href="https://en.wikipedia.org/wiki/Side-scan_sonar">Side-Scan sonars</a></strong>.
Some time ago, I worked with real time processing of sonar images. My job was to detect mines on both sides of an <strong><a title="UUV" href="http://www.globalsecurity.org/intell/systems/uuv.htm">UUV</a></strong> equipped with <strong><a title="side scan sonar" href="http://en.wikipedia.org/wiki/Side-scan_sonar">Side-Scan sonars</a></strong>.
My algorithm had to run as fast as possible and I naturally ended up thinking about parallel processing. My application was kind of designed to be paralleled as at each instant I had two images coming (left and right side of my vehicle).
@@ -71,7 +71,7 @@ Most of computes now have at least 2 processors. Multiprocessing was then the be
Basically, the following example will be perfect for applications in which<strong> the exact same task has to be performed several times on unrelated data :</strong>
Here is a simple multiprocessing example, coming from the <a title="python doc" href="https://www.python.org/doc/">Python documentation</a>:
Here is a simple multiprocessing example, coming from the <a title="python doc" href="http://www.python.org/doc/">Python documentation</a>:
{% highlight python %}
@@ -124,4 +124,4 @@ nb_processes = multiprocessing.cpu_count()
Here it is, Your application should now run slightly faster !
In case you <strong>don't know the difference between process and thread</strong>,<a title="diff process thread" href="https://stackoverflow.com/questions/200469/what-is-the-difference-between-a-process-and-a-thread"> you should have a look here</a> .
In case you <strong>don't know the difference between process and thread</strong>,<a title="diff process thread" href="http://stackoverflow.com/questions/200469/what-is-the-difference-between-a-process-and-a-thread"> you should have a look here</a> .