At this point I'm more interested in seeing how people are implementing various algorithms on different parallel frameworks like
- Giraph - Spark - GraphLab - Ciel etc, as opposed to seeing anything "production ready". Its more of taking notes on what frameworks work better for what techniques, being able to illustrate some sort of heuristic on what algorithm should be used with what framework. There are lots of small tradeoffs depending on what is used and how. Just trying to map that all out. An academic exercise, to be sure. =) JP On Tue, Sep 27, 2011 at 3:14 PM, Jake Mannix <[email protected]> wrote: > > > On Tue, Sep 27, 2011 at 12:31 PM, Aapo Kyrola <[email protected]> wrote: >> >> I have written a very simple Belief Propagation algorithm for binary >> variables. >> Not ready for prime-time either, though :). > > That's awesome! Where's the code? :) > It shouldn't be construed that "not ready for prime-time" is *bad*, in case > that's what it looked like I was saying. > More examples the better, so we can see where the bottlenecks are, and move > them toward productionalized stage! > > -jake > >> >> Aapo >> On Sep 27, 2011, at 3:03 PM, Jake Mannix wrote: >> >> Not really. It's really really early, and they're in the "examples" stage >> - nothing is >> really productionized. There's things like PageRank, finding shortest >> path, but >> nothing is really ready for prime time yet. >> >> On Tue, Sep 27, 2011 at 11:56 AM, Josh Patterson <[email protected]> >> wrote: >>> >>> Is there a list of known algorithms that have been implemented on the >>> Giraph framework? >>> >>> JP >>> >>> -- >>> Twitter: @jpatanooga >>> Solution Architect @ Cloudera >>> hadoop: http://www.cloudera.com >> >> >> Aapo Kyrola >> Ph.D. student, http://www.cs.cmu.edu/~akyrola > > -- Twitter: @jpatanooga Solution Architect @ Cloudera hadoop: http://www.cloudera.com
