July 2017
Intermediate to advanced
244 pages
6h 33m
English
When it comes to processing large datasets in parallel, it would be ideal if one could take the data, chop it up into lots of small parts, and push it to a lot of threads, thus significantly shortening the total time spent processing the said data.
The idea behind distributed computing is exactly this: on each node in a distributed system one or more instances of our application run, whereby this application can either be single or multithreaded. Due to the overhead of inter-process communication, it's generally more efficient to use a multithreaded application, as well as due to other possible optimizations--courtesy of resource sharing.
If one already has a multithreaded application ready to use, then ...
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