[petsc-dev] (no subject)

[Matthew Knepley]

On Thu, Sep 21, 2017 at 3:51 PM, Zhang, Hong <hongzhang at anl.gov> wrote:

> Great news! According to their papers, MLSVM works only in serial. I am
> not sure what is stopping them using PETSc in parallel.
>

I think its because they use FLANN (http://www.cs.ubc.ca/research/flann/)
which appears to be serial.

Richard, it looks like your parallel clustering could get you another few
papers :)

   Matt


> Btw, are there any other cases that use PETSc for machine learning?
>
> Hong (Mr.)
>
> > On Sep 21, 2017, at 1:02 PM, Barry Smith <bsmith at mcs.anl.gov> wrote:
> >
> >
> > From: Ilya Safro isafro at g.clemson.edu
> > Date: September 17, 2017
> > Subject: MLSVM 1.0, Multilevel Support Vector Machines
> >
> > We are pleased to announce the release of MLSVM 1.0, a library of fast
> > multilevel algorithms for training nonlinear support vector machine
> > models on large-scale datasets. The library is developed as an
> > extension of PETSc to support, among other applications, the analysis
> > of datasets in scientific computing.
> >
> > Highlights:
> > - The best quality/performance trade-off is achieved with algebraic
> > multigrid coarsening
> > - Tested on academic, industrial, and healthcare datasets
> > - Generates multiple models for each training
> > - Effective on imbalanced datasets
> >
> > Download MLSVM at https://github.com/esadr/mlsvm
> >
> > Corresponding paper: Sadrfaridpour, Razzaghi and Safro "Engineering
> > multilevel support vector machines", 2017,
> > https://arxiv.org/pdf/1707.07657.pdf
> >
>
>


-- 
What most experimenters take for granted before they begin their
experiments is infinitely more interesting than any results to which their
experiments lead.
-- Norbert Wiener

http://www.caam.rice.edu/~mk51/
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