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> Of course at these scales a cluster is x5 slower. So this complaint should be levelled at the papers and the academic communities- why is it acceptable to on

by shoo 9y ago

> Of course at these scales a cluster is x5 slower. So this complaint should be levelled at the papers and the academic communities- why is it acceptable to only provide empirical evidence for these distributed algorithms at data scales where they cannot out perform simpler implementations? Why not require empirical performance measurement on truly large scale examples for these kind of algorithms?

wmf 9y ago
Of course academics don't have access to truly big data, so this amounts to saying that they can't publish anything. That's fine with me but I don't think the academic CS establishment will agree.
- deleted 9y ago
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- mcguire 9y ago
  "the academic CS establishment" Strictly speaking, I think that term attributes more organization to the academic CS establishment than my experience supports. The point here is that, if they're trying to establish that Smart Technique 2 is better than Smart Technique 1, they need to first establish that Stupid Technique Q doesn't work at all. Which they haven't. If they don't have access to "truly big data" to do so, well, most of the people who want to use the Smart Techniques probably don't either.