Dear All,
I'm sorry to insist, but I am not able to understand. Moreover, I have
realized that I have to explain myself better.

I try to explain in may program. Each CPU has *npt* particles. My program
understand how many particles each CPU has to send, according to their
positions. Then I can do:

*icount=1*
* DO i=1,npt*
*    IF(i is a particle to send)THEN*

*        DATASEND(icount)%ip     = PART(ip)%ip*
*        DATASEND(icount)%mc     = PART(ip)%mc*

*        DATASEND(icount)%RP     = PART(ip)%RP*
*        DATASEND(icount)%QQ     = PART(ip)%QQ*

*        icount=icount+1*
*    ENDIF*
* ENDDO*

After that, I can send *DATASEND*

I *DATASEND* is a   *MPI_my_STRUCT.* I can allocate it according to
the number of particles that I have to send:

TYPE(tParticle)  ,ALLOCATABLE,DIMENSION(:) :: DATASEND,DATARECV

This means that the number of particles which I have to send can change
every time.

After that, I compute for each particles, somethins called QQmls(:,:,:).
QQmls has all real elements. Now I would like to to the same that I did
with PART, but in this case:

*icount=1*
*DO i=1,npt*
*    IF(i is a particle to send)THEN*

       *DATASEND_REAL(:,icount,:)=QQmls(:,i,:)*
*      icount=icount+1*

*    ENDIF*
*ENDDO*

I would like to have a sort  *MPI_my_TYPE to do that (like *
*MPI_my_STRUCT**) *and not to create every time *MPI_TYPE_VECTOR
*because  *DATASEND_REAL
*changes size every time.

I hope to make myself clear.

So is it correct to use *MPI_TYPE_VECTOR?, *Can I do what I want?

In the meantime, I will study some examples.

Thanks again





Diego


On 16 January 2015 at 07:39, George Bosilca <bosi...@icl.utk.edu> wrote:

>  The subarray creation is an multi-dimension extension of the vector type.
> You can see it as a vector of vector of vector and so on, one vector per
> dimension. The stride array is used to declare on each dimension what is
> the relative displacement (in number of elements) from the beginning of the
> dimension array.
>
> It is important to use regular type creation when you can take advantage
> of such regularity instead of resorting to use of struct or h*. This insure
> better packing/unpacking performance, as well as possible future support
> for one-sided communications.
>
> George.
>
>
>
> > On Jan 15, 2015, at 19:31, Gus Correa <g...@ldeo.columbia.edu> wrote:
> >
> > I never used MPI_Type_create_subarray, only MPI_Type_Vector.
> > What I like about MPI_Type_Vector is that you can define a stride,
> > hence you can address any regular pattern in memory.
> > However, it envisages the array layout in memory as a big 1-D array,
> > with a linear index progressing in either Fortran or C order.
> >
> > Somebody correct me please if I am wrong, but at first sight
> MPI_Type_Vector sounds more flexible to me than MPI_Type_create_subarray,
> exactly because the latter doesn't have strides.
> >
> > The downside is that you need to do some index arithmetic to figure
> > the right strides, etc, to match the corresponding
> > Fortran90 array sections.
> >
> > There are good examples in the "MPI - The complete reference" books I
> suggested to you before (actually in vol 1).
> >
> > Online I could find the two man pages (good information, but no example):
> >
> > http://www.open-mpi.org/doc/v1.8/man3/MPI_Type_vector.3.php
> > http://www.open-mpi.org/doc/v1.8/man3/MPI_Type_create_subarray.3.php
> >
> > There is a very simple 2D example of MPI_Type_vector using strides here:
> >
> > https://computing.llnl.gov/tutorials/mpi/#Derived_Data_Types
> >
> > and a similar one here:
> >
> > http://static.msi.umn.edu/tutorial/scicomp/general/MPI/content6.html
> >
> > Gus Correa
> >
> >> On 01/15/2015 06:53 PM, Diego Avesani wrote:
> >> dear George, dear Gus, dear all,
> >> Could you please tell me where I can find a good example?
> >> I am sorry but I can not understand the 3D array.
> >>
> >>
> >> Really Thanks
> >>
> >> Diego
> >>
> >>
> >> On 15 January 2015 at 20:13, George Bosilca <bosi...@icl.utk.edu
> >> <mailto:bosi...@icl.utk.edu>> wrote:
> >>
> >>
> >>>    On Jan 15, 2015, at 06:02 , Diego Avesani <diego.aves...@gmail.com
> >>>    <mailto:diego.aves...@gmail.com>> wrote:
> >>>
> >>>    Dear Gus, Dear all,
> >>>    Thanks a lot.
> >>>    MPI_Type_Struct works well for the first part of my problem, so I
> >>>    am very happy to be able to use it.
> >>>
> >>>    Regarding MPI_TYPE_VECTOR.
> >>>
> >>>    I have studied it and for simple case it is clear to me what id
> >>>    does (at least I believe). Foe example if I have a matrix define as:
> >>>    REAL, ALLOCATABLE (AA(:,:))
> >>>    ALLOCATE AA(100,5)
> >>>
> >>>    I could send part of it defining
> >>>
> >>>    CALL MPI_TYPE_VECTOR(5,1,5,MPI_DOUBLE_PRECISION,/MY_NEW_TYPE/)
> >>>
> >>>    after that I can send part of it with
> >>>
> >>>    CALL MPI_SEND( AA(1:/10/,:), /10/, /MY_NEW_TYPE/, 1, 0,
> >>>    MPI_COMM_WORLD );
> >>>
> >>>    Have I understood correctly?
> >>>
> >>>    What I can do in case of three dimensional array? for example
> >>>    AA(:,:,:), I am looking to MPI_TYPE_CREATE_SUBARRAY.
> >>>    Is that the correct way?
> >>>
> >>>    Thanks again
> >>
> >>    Indeed, using the subarray is the right approach independent on the
> >>    number of dimensions of the data (you can use it instead of
> >>    MPI_TYPE_VECTOR as well).
> >>
> >>       George.
> >>
> >>
> >>>
> >>>
> >>>
> >>>
> >>>    Diego
> >>>
> >>>
> >>>    On 13 January 2015 at 19:04, Gus Correa <g...@ldeo.columbia.edu
> >>>    <mailto:g...@ldeo.columbia.edu>> wrote:
> >>>
> >>>        Hi Diego
> >>>        I guess MPI_Type_Vector is the natural way to send and receive
> >>>        Fortran90 array sections (e.g. your QQMLS(:,50:100,:)).
> >>>        I used that before and it works just fine.
> >>>        I think that is pretty standard MPI programming style.
> >>>        I guess MPI_Type_Struct tries to emulate Fortran90 and C
> >>>        structures
> >>>        (as you did in your previous code, with all the surprises
> >>>        regarding alignment, etc), not array sections.
> >>>        Also, MPI type vector should be more easy going (and probably
> >>>        more efficient) than MPI type struct, with less memory
> >>>        alignment problems.
> >>>        I hope this helps,
> >>>        Gus Correa
> >>>
> >>>        PS - These books have a quite complete description and several
> >>>        examples
> >>>        of all MPI objects and functions, including MPI types (native
> >>>        and user defined):
> >>>        http://mitpress.mit.edu/books/__mpi-complete-reference-0
> >>>        <http://mitpress.mit.edu/books/mpi-complete-reference-0>
> >>>        http://mitpress.mit.edu/books/__mpi-complete-reference-1
> >>>        <http://mitpress.mit.edu/books/mpi-complete-reference-1>
> >>>
> >>>        [They cover MPI 1 and 2. I guess there is a new/upcoming book
> >>>        with MPI 3, but for what you're doing 1 and 2 are more than
> >>>        enough.]
> >>>
> >>>
> >>>        On 01/13/2015 09:22 AM, Diego Avesani wrote:
> >>>
> >>>            Dear all,
> >>>
> >>>            I had some wonderful talking about MPI_type_create_struct
> adn
> >>>            isend\irecv with
> >>>            Gilles, Gustavo, George, Gus, Tom and Jeff. Now all is
> >>>            more clear and my
> >>>            program works.
> >>>
> >>>            Now I have another question. In may program I have matrix:
> >>>
> >>>            /QQMLS(:,:,:) /that is allocate as
> >>>
> >>>            /ALLOCATE(QQMLS(9,npt,18)/), where npt is the number of
> >>>            particles
> >>>
> >>>            QQMLS is double precision.
> >>>
> >>>            I would like to sent form a CPU to another part of it, for
> >>>            example,
> >>>            sending QQMLS(:,50:100,:). I mean sending the QQMLS of the
> >>>            particles
> >>>            between 50 to 100.
> >>>            I suppose that i could use MPI_Type_vector but I am not
> >>>            sure. The
> >>>            particle that I want to sent could be from 25 to 50 ecc..
> >>>            ecc..so
> >>>              blocklength changes everytime.
> >>>
> >>>            Do I have to use MPI_type_create_struct?
> >>>            Do I have correctly understood MPI_Type_vector?
> >>>
> >>>            Thanks a lot
> >>>
> >>>
> >>>            Diego
> >>>
> >>>
> >>>
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