The premise of map-reduce seems to basically be, "if you're asking questions of a set of objects then you can divide that set by the number of cores you have and ask questions in parallel".
Doesn't that seem intuitively obvious? There sure are a whole lot of papers being spawned over this obvious thing. I'll go finish the paper now and see if it's simply about converting machine learning algorithms into "ask questions of a set of objects" form.
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[ 2.7 ms ] story [ 16.7 ms ] threadDoesn't that seem intuitively obvious? There sure are a whole lot of papers being spawned over this obvious thing. I'll go finish the paper now and see if it's simply about converting machine learning algorithms into "ask questions of a set of objects" form.
This paper was accepted to NIPS, so apparently some bigwigs thought it was important.