Map-Reduce for Machine Learning on Multicore (pdf)(cs.stanford.edu)

10 pointsby aquarinil y a 19 ans3 comments

cs.stanford.edu

Map-Reduce for Machine Learning on Multicore (pdf)

http://www.cs.stanford.edu/people/ang//papers/nips06-mapreducemulticore.pdf

1 comments

palishil y a 19 ans

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.

henningil y a 19 ans

Many machine learning architectures do not immediately suggest scalable training algorithm implementations.

This paper was accepted to NIPS, so apparently some bigwigs thought it was important.

palishil y a 19 ans

Ah. Neat hack then!