Hi all,

I just noticed that the graph on our homepage [0] looks very similar to the
one on Spark homepage [1] so I wonder if we could at least make it a bit
clearer either by writing the benchmarks results in a table near it (it
seems Hama always takes ~0) or something else I cannot think to right now.

The reference to the benchmarks wiki page is ok but I cannot find the entry
for the comparison with Mahout, maybe I'm missing something ...
Regards and happy new year everyone.
Tommaso

[0] : http://hama.apache.org/images/mahout_vs_hama.png
[1] : http://spark.incubator.apache.org/images/spark-lr.png


2013/12/20 Edward J. Yoon <[email protected]>

> Hi all,
>
> I published new website for our community. If you have other ideas, please
> feel free to share your comments or file a JIRA ticket.
>
>
> On Fri, Dec 20, 2013 at 11:29 AM, Edward J. Yoon <[email protected]
> >wrote:
>
> > Thanks, I'll.
> >
> > Sent from my iPhone
> >
> > > On 2013. 12. 19., at 오후 10:41, Yexi Jiang <[email protected]> wrote:
> > >
> > > Hi,
> > >
> > > It looks nice. Is it possible to add more description to the figure?
> When
> > > people first saw this, they may not know what the x axis is (the number
> > of
> > > cores or the number of the number of groom servers?). Moreover, it is
> > > better to tell the reader some specs of the dataset used.
> > >
> > > Regards,
> > > Yexi
> > >
> > >
> > > 2013/12/19 Edward J. Yoon <[email protected]>
> > >
> > >> Thank you so much!
> > >>
> > >> Sent from my iPhone
> > >>
> > >>>> On 2013. 12. 19., at 오후 4:45, Tommaso Teofili <
> > [email protected]>
> > >>> wrote:
> > >>>
> > >>> Hi Edward,
> > >>>
> > >>> I think it generally looks better than the current one, I would just
> > >> change
> > >>> this:
> > >>>
> > >>> Many data analysis techniques such as machine learning and graph
> > >> algorithms
> > >>> require iterative computations but MapReduce model doesn't fit for
> > these
> > >>> iterative data analysis applications. To run these iterative data
> > >> analysis
> > >>> applications more efficiently, Hama offers pure Bulk Synchronous
> > Parallel
> > >>> computing engine.
> > >>>
> > >>>
> > >>> to something like this:
> > >>>
> > >>> Many data analysis techniques such as machine learning and graph
> > >> algorithms
> > >>> require iterative computations, this is where Bulk Synchronous
> Parallel
> > >>> model can be more effective than "plain" MapReduce. Therefore to run
> > such
> > >>> iterative data analysis applications more efficiently, Hama offers
> pure
> > >>> Bulk Synchronous Parallel computing engine.
> > >>>
> > >>>
> > >>> As I wouldn't say MR is inherently not good for iterative
> computations,
> > >>> just BSP can be a better / more perfomant alternative.
> > >>> My 2 cents,
> > >>> Tommaso
> > >>>
> > >>>
> > >>> 2013/12/19 Edward J. Yoon <[email protected]>
> > >>>
> > >>>> Hi,
> > >>>>
> > >>>> I've made some changes to our website -
> > >>>> http://people.apache.org/~edwardyoon/site/ - Please review and
> > feedback
> > >>>> here.
> > >>>>
> > >>>> --
> > >>>> Best Regards, Edward J. Yoon
> > >>>> @eddieyoon
> > >
> > >
> > >
> > > --
> > > ------
> > > Yexi Jiang,
> > > ECS 251,  [email protected]
> > > School of Computer and Information Science,
> > > Florida International University
> > > Homepage: http://users.cis.fiu.edu/~yjian004/
> >
>
>
>
> --
> Best Regards, Edward J. Yoon
> @eddieyoon
>

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