external solvers - scalapack

[Barry Smith]

   We don't really do eigensolvers; that is handled by SLEPc that has  
an infrastructure
just for that. If it does not support plapack, that is where it could  
be added. We could
contract to add it to slepc if it is not currently there: the contract  
would be $64,000.

    Barry

On Dec 18, 2008, at 10:50 AM, Nichols A. Romero wrote:

> Barry,
>
> PLAPACK has some dense eigensolvers. The public release version has QR
> (which is probably too slow for us), but a developmental version  
> (available
> by contacting the authors) implements MR^3.
>
> Does petsc have support for PLAPACK QR? If so, would it be possible  
> to put support
> for MR^3?
>
> Nichols A. Romero, Ph.D.
> Argonne Leadership Computing Facility
> Argonne National Laboratory
> Building 360 Room L-146
> 9700 South Cass Avenue
> Argonne, IL 60490
> (630) 252-3441
>
>
> ----- Original Message -----
> From: "Barry Smith" <bsmith at mcs.anl.gov>
> To: petsc-users at mcs.anl.gov
> Sent: Wednesday, December 17, 2008 10:09:42 PM GMT -06:00 US/Canada  
> Central
> Subject: Re: external solvers - scalapack
>
>
>    Whoever wrote a PETSc TACC2008 tutorial that says PETSc interfaces
> to scalapack
> is a fool. It does not interface to scalapack in any way (since we
> support building
> mumps which needs scalapack we support building scalapack but PETSc
> itself makes
> no calls to scalapack.)*
>
>    We do have support for using Cholesky in PLAPACK with our dense
> matrices.
> You should use petsc-dev or wait a couple of days for the petsc-3.0
> release
> before using it.
>
>    Barry
>
> * One reason we don't screw with scalapack is the complicated messy
> way the dense
> matrix has to be spread across processes which is painful.
>
>
> On Dec 17, 2008, at 9:36 PM, Nichols A. Romero wrote:
>
>> Hi,
>>
>> I looked through the mailing lists to see if this question
>> was already asked but could not find anything.
>>
>> In the PETSc TACC2008 tutorial, it states that PETSc interfaces
>> with Scalapack?
>>
>> I would like to know what is supported from Scalapack. I am
>> particularly
>> interested in:
>> 1. Cholesky factorization (I know there are a couple of alternative
>> options here, e.g. PLAPACK).
>> 2. Dense eigenvalue solver
>>
>>
>>
>> Nichols A. Romero, Ph.D.
>> Argonne Leadership Computing Facility
>> Argonne National Laboratory
>> Building 360 Room L-146
>> 9700 South Cass Avenue
>> Argonne, IL 60490
>> (630) 252-3441
>>
>