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  • MPICH2 vs KERRYGHED

    - by user40135
    Hi All right now I am moving first steps in clustering. I installed MPICH2 on my Ubuntu at home and I have a silly question about it. For what I am reading right now it seems that it provides the capability of sending processes to other pcs. I went for this lib just because I set it up very quickly and easily. Compared to MPICH2 , do you know what is the advantage of having a different clustering system like KERRYGHED? It seems that these ones also provide this capability, but the Kernel must be rebuild, so I suppose that it is going to be faster. What other advantages are remarkable for a clustering system like this? Thanks

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  • MPICH2 vs KERRYGHED

    - by user311906
    Hi All right now I am moving first steps in clustering. I installed MPICH2 on my Ubuntu at home and I have a silly question about it. For what I am reading right now it seems that it provides the capability of sending processes to other pcs. I went for this lib just because I set it up very quickly and easily. Compared to MPICH2 , do you know what is the advantage of having a different clustering system like KERRYGHED? It seems that these ones also provide this capability, but the Kernel must be rebuild, so I suppose that it is going to be faster. What other advantages are remarkable for a clustering system like this? Thanks

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  • Looking for mpic++

    - by unknownthreat
    I am following instructions at http://www.boost.org/doc/libs/1_43_0/doc/html/mpi/getting_started.html#mpi.config trying to build Boost MPI .lib files, but I got one problem: I do not have mpic++. Looking at the MPI implementation files such as MPICH2 and Open MPI, I see no mpic++ included at all. Where can I find mpic++?

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  • Sending 2 dim array using scatter

    - by MPI_Beginner
    I am a beginner in MPI, and i am using C Language, and Simulator for Processors (MPICH2), i wrote the following code to send a 2D array to make 2 processors take a line from it but it produces error when running MPICH2, the code is: int main ( int argc , char *argv[] ) { int rank; int commsize; MPI_Init(&argc, &argv); MPI_Comm_size(MPI_COMM_WORLD,&commsize); MPI_Comm_rank(MPI_COMM_WORLD,&rank); char** name=malloc(2*sizeof(char*)); int i; for(i=0;i<2;i++){ name[i]=malloc(15*sizeof(char)); } name[0]="name"; name[1]="age"; if(rank==0){ char** mArray=malloc(2*sizeof(char*)); MPI_Scatter(&name,1,MPI_CHAR,&mArray,1,MPI_CHAR,0,MPI_COMM_WORLD);//send } else{ char** mArray=malloc(2*sizeof(char*)); int k; for(k=0;k<2;k++){ mArray[k]=malloc(15*sizeof(char)); } MPI_Scatter(&mArray,1,MPI_CHAR,&mArray,1,MPI_CHAR,0,MPI_COMM_WORLD);//receive printf("line is %s \n",mArray[rank-1]); } MPI_Finalize(); }

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  • Message Passing Interface (MPI)

    So you have installed your cluster and you are done with introductory material on Windows HPC. Now you want to develop an application with the most common programming model: Message Passing Interface.The MPI programming model is a standard with implementations from many vendors. For newbies (like myself!), I have aggregated below links for getting started.Non-Microsoft MPI resources (useful even if you are not on the Windows platform)1. Message Passing Interface on wikipedia. 2. The MPI standard.3. MPICH2 - an MPI implementation.4. Tutorial on MPI by William Gropp.5. MPI patterns presented as a tutorial with sample code. 6. THE official MPI Forum (maintains the standard) including the wiki discussing the MPI future.7. Great MPI tutorial including at the end the MPI Exercise.8. C++ MPI Exercises by John Burkardt.9. Book online: MPI The Complete Reference.MS-MPI10. Windows HPC Server 2008 - Using MS-MPI whitepaper (15 page doc).11. Tracing MPI applications (27 page doc).12. Using Microsoft MPI (TechNet section).13. Windows HPC Server MPI forum (for posting questions). MPI.NET14. MPI.NET Home Page (not owned by Microsoft).15. MPI.NET Tutorial.16. HPC Development using F# using MPI.NET (38 page doc).Next time I'll post resources for the Microsoft Cluster SOA programming model - happy coding... Comments about this post welcome at the original blog.

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  • MPI Barrier C++

    - by aryan
    Dear all, I want to use MPI (MPICH2) on windows. I write this command: MPI_Barrier(MPI_COMM_WORLD); And I expect it blocks all Processors until all group members have called it. But it is not happen. I add a schematic of my code: int a; if(myrank == RootProc) a = 4; MPI_Barrier(MPI_COMM_WORLD); cout << "My Rank = " << myrank << "\ta = " << a << endl; (With 2 processor:) Root processor (0) acts correctly, but processor with rank 1 doesn't know the a variable, so it display -858993460 instead of 4. Can any one help me? Regards

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  • Segmentation fault on MPI, runs properly on OpenMP

    - by Bellman
    Hi, I am trying to run a program on a computer cluster. The structure of the program is the following: PROGRAM something ... CALL subroutine1(...) ... END PROGRAM SUBROUTINE subroutine1(...) ... DO i=1,n CALL subroutine2(...) ENDDO ... END SUBROUTINE SUBROUTINE subroutine2(...) ... CALL subroutine3(...) CALL subroutine4(...) ... END SUBROUTINE The idea is to parallelize the loop that calls subroutine2. Main program basically only makes the call to subroutine1 and only its arguments are declared. I use two alternatives. On the one hand, I write OpenMP clauses arround the loop. On the other hand, I add an IF conditional branch arround the call and I use MPI to share the results. In the OpenMP case, I add CALL KMP_SET_STACKSIZE(402653184) at the beginning of the main program and I can run it with 8 threads on an 8 core machine. When I run it (on the same 8 core machine) with MPI (either using 8 or 1 processors) it crashes just when makes the call to subroutine3 with a segmentation fault (signal 11) error. If I comment subroutine4, then it doesn't crash (notice that it crashed just when calling subroutine3 and it works when commenting subroutine4). I compile with mpif90 using MPICH2 libraries and the following flags: -O3 -fpscomp logicals -openmp -threads -m64 -xS. The machine has EM64T architecture and I use a Debian Linux distribution. I set ulimit -s hard before running the program. Any ideas on what is going on? Has it something to do with stack size? Thanks in advance

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  • catching a deadlock in a simple odd-even sending

    - by user562264
    I'm trying to solve a simple problem with MPI, my implementation is MPICH2 and my code is in fortran. I have used the blocking send and receive, the idea is so simple but when I run it it crashes!!! I have absolutely no idea what is wrong? can anyone make quote on this issue please? there is a piece of the code: integer,parameter::IM=100,JM=100 REAL,ALLOCATABLE ::T(:,:),TF(:,:) CALL MPI_COMM_RANK(MPI_COMM_WORLD,RNK,IERR) CALL MPI_COMM_SIZE(MPI_COMM_WORLD,SIZ,IERR) prv = rnk-1 nxt = rnk+1 LIM = INT(IM/SIZ) IF (rnk==0) THEN ALLOCATE(TF(IM,JM)) prv = MPI_PROC_NULL ELSEIF(rnk==siz-1) THEN NXT = MPI_PROC_NULL LIM = LIM+MOD(IM,SIZ) END IF IF (MOD(RNK,2)==0) THEN CALL MPI_SEND(T(2,:),JM+2,MPI_REAL,PRV,10,MPI_COMM_WORLD,IERR) CALL MPI_RECV(T(1,:),JM+2,MPI_REAL,PRV,20,MPI_COMM_WORLD,STAT,IERR) ELSE CALL MPI_RECV(T(LIM+2,:),JM+2,MPI_REAL,NXT,10,MPI_COMM_WORLD,STAT,IERR) CALL MPI_SEND(T(LIM+1,:),JM+2,MPI_REAL,NXT,20,MPI_COMM_WORLD,IERR) END IF as I understood even processes are not receiving anything while the odd ones finish sending successfully, in some cases when I added some print to observe what is going on I saw that the variable NXT is changing during the sending procedure!!! for example all the odd process was sending message to process 0 not their next one!

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