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Jun 24, 2014 at 17:13 review Close votes
Jun 30, 2014 at 3:16
Jun 24, 2014 at 16:12 answer added John Cowan timeline score: 2
Dec 11, 2013 at 20:11 answer added Lorenz Meyer timeline score: 3
Dec 11, 2013 at 12:57 comment added amon Huh? A merge-sort seems quite parallelizable to me: parts of the data can be pre-sorted in different threads/nodes and then combined in another one (compare also how the command-line sort works for large inputs). Usually, the pre-sort will have to complete before the merge, but that could be changed as well (consider a moronic sort algorithm that yields the minimal element in a collection and removes it until no elements are left).
Dec 11, 2013 at 12:02 comment added Knight Rider @dan_waterworth : it exhibits data parallelism. Since, Same operation is done on different parts of data.
Dec 11, 2013 at 12:01 answer added w.m timeline score: 3
Dec 11, 2013 at 11:55 comment added dan_waterworth Does mergesort fit your criteria?
Dec 11, 2013 at 11:48 comment added Knight Rider @dan_waterworth: algorithm capable of exhibiting functional parallelism.
Dec 11, 2013 at 11:47 vote accept Knight Rider
Dec 11, 2013 at 11:43 comment added dan_waterworth What do you mean by task distributable?
Dec 11, 2013 at 11:29 history edited gnat CC BY-SA 3.0
deleted 2 characters in body; edited tags; edited title
Dec 11, 2013 at 11:26 review First posts
Dec 11, 2013 at 11:29
Dec 11, 2013 at 11:19 answer added user40989 timeline score: 13
Dec 11, 2013 at 11:11 history asked Knight Rider CC BY-SA 3.0