One more (hopefully the last!) renumbering

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Crista Lopes
2013-11-28 20:54:31 -08:00
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Style #30
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Very similar to style #12, but with an additional twist
Constraints:
- Input data is divided in chunks, similar to what an inverse multiplexer does to input signals
- A map function applies a given worker function to each chunk of data, potentially in parallel
- The results of the many worker functions are reshuffled in a way
that allows for the reduce step to be also parallelized
- The reshuffled chunks of data are given as input to a second map
function that takes a reducible function as input
Possible names:
- Double inverse multiplexer
- Map-reduce
- Hadoop style