[Paraview] Parallel Paraview

[Berk Geveci]

What format is your data in? What reader are you using to read it?

On Thu, Mar 5, 2009 at 5:52 AM, Natalie Happenhofer
<nataliehapp at hotmail.com> wrote:
> Ok, thanks a lot, I believe I understand..
>
> But that brings me to another question:
> I´m running paraview on 8 nodes, and my data is sliced into 8 pieces, which
> I can see when it´s rendering or with the ProcessId-Filter. In my case, its
> a cuboid and it´s divided into 8 pieces, sliced once in every layer. In
> order to make the parallelism useful for the algorithmus I implemented in my
> filters, I need to change the domain for every processor, i.e I want to
> slice the data into 8 pieces, but slicing it 7 times in the xy-layer. How
> can I achieve this, where are the domains for each processor specified?
>
> thx a lot,
> Natalie
>
>> Date: Wed, 4 Mar 2009 10:49:49 -0500
>> Subject: Re: [Paraview] Parallel Paraview
>> From: dave.demarle at kitware.com
>> To: nataliehapp at hotmail.com
>> CC: paraview at paraview.org
>>
>> Slightly less briefly than what Ken said:
>>
>> In parallel, the end of the pipeline on each processor is told to
>> process piece i out of j. Where i is the local processor's rank and j
>> is the number of processors. See
>> vtkStreamingDemandDrivenPipeline::SetUpdatePiece() and
>> SetNumberOfPieces(). That information flows back through the pipeline
>> in the RequestUpdateExtent pass. Here each filter along the pipeline
>> looks as what it is asked to produce, and tells its inputs what they
>> need to produce for it to do that. In your case if the algorithm
>> requires the whole domain then filter is telling everything upstream
>> to give it everything, and parallelism is only effective AFTER your
>> filter. If the algorithm can be changed so that each processor needs
>> only a portion of the domain (perhaps using ghostlevels to extent the
>> boundaries a bit) then you will get better scalability. After
>> RequestUpdateExtent, the RequestData pass happens in which each filter
>> executes in turn. In this pass the filter's RequestData() method uses
>> the input it is given to fill out the previously agreed extent and
>> passes it onward.
>>
>> On Wed, Mar 4, 2009 at 10:26 AM, Natalie Happenhofer
>> <nataliehapp at hotmail.com> wrote:
>> > Hi!
>> > I´m not sure if I understood well how Paraview is working in parallel
>> > mode:
>> > I have started Paraview in client/server mode, i.e. with
>> > mpirun -np 8 ./pvserver
>> > and then I started the client and connected.
>> >
>> > I´m not sure how this works with filters: I´ve written a few filters,
>> > and
>> > when I run Paraview in parallel, is the filter parallelized as well,
>> > automatically? That on every piece of data the filter is applied
>> > separately
>> > and necessary data of other pieces is send there by mpi? Or is the
>> > filter
>> > computed on a single node and I have to change something in order to
>> > make it
>> > work parallel?
>> > Applying the ProcessId-Filter on the output of my filter, it says that
>> > it
>> > was computed separately on every piece of dataset, I´m just wondering,
>> > because the filter uses the whole dataset to compute the desired
>> > output..
>> >
>> > thx for explaining,
>> > Natalie
>> >
>> >
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>>
>>
>>
>> --
>> David E DeMarle
>> Kitware, Inc.
>> R&D Engineer
>> 28 Corporate Drive
>> Clifton Park, NY 12065-8662
>> Phone: 518-371-3971 x109
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