Computação de cluster

Intel Cluster Ready FAQ: Hardware vendors, system integrators, platform suppliers

Q: Why should we join the Intel® Cluster Ready program?
A: By offering certified Intel Cluster Ready systems and certified components, you can give customers greater confidence in deploying and running HPC systems. Participating in the program will help you drive HPC adoption, expand your customer base, and streamline customer support. You will also gain access to the Intel Cluster Checker software tool and the library of pre-certified Intel Cluster Ready system reference designs.

  • Desenvolvedores
  • Parceiros
  • Linux*
  • Cliente empresarial
  • Serviços de nuvem
  • Servidor
  • C/C++
  • Fortran
  • Intel® Cluster Ready
  • Interface de transferência de mensagens
  • OpenMP*
  • Computação em nuvem
  • Computação de cluster
  • Data Center
  • Ferramentas de desenvolvimento
  • Corporações
  • Computação paralela
  • Intel Cluster Ready FAQ: Customer benefits

    Q: Why should we select a certified Intel Cluster Ready system and registered Intel Cluster Ready applications?
    A: Choosing certified systems and registered applications gives you the confidence that your cluster will work as it should, right away, so you can boost productivity and start solving new problems faster.
    Learn more about what is Intel Cluster Ready and its benefits.

  • Linux*
  • Cliente empresarial
  • Serviços de nuvem
  • Servidor
  • C/C++
  • Fortran
  • Intel® Cluster Ready
  • Interface de transferência de mensagens
  • OpenMP*
  • Acadêmico
  • Computação em nuvem
  • Computação de cluster
  • Data Center
  • Ferramentas de desenvolvimento
  • Corporações
  • Computação paralela
  • something wrong with the offload out?

    when I us offload like this

    #pragma offload target(mic:0)           \
    out(curdata2:length(1000)alloc_if(0)free_if(0))
    {
            gettimeofday(&tv,NULL);
            L2 = tv.tv_sec*1000*1000 + tv.tv_usec;
    
                    sleep(1);
    
            gettimeofday(&tv,NULL);
            L2couple = tv.tv_sec*1000*1000 + tv.tv_usec;
    }

    there will be an error report below:

    offload error: process on the device 0 was terminated by signal 11 (SIGSEGV)

    and sometime the error report will be another different one

    A weird linker error with _mm512_storenr_ps intrinsic in offload mode

    Hi guys, I am facing a weird linker error with _mm512_storenr_ps() intrinsic in offload mode programming. I post this issue here and hope that someone could give the advice. 

    I have implemented successfully a Xeon Phi program in native mode and then changed to offload mode. 

    There are 3 files and the code is summarized like this

    file main.cpp

    #include myfunction.h

    void main()

    {

    // CPU code

    ...

    What is the correct way to load the Library Path?

    Greetings,

    I have some code which I compiled like this on my host:
    $ ifort -openmp -mmic -o test.phi test.f90 -O4

    I copied it up to the mic and tried to run

    mic0$ ./test.phi
    ./test.phi: error while loading shared libraries: libiomp5.so: cannot open shared object file: No such file or directory

    Oh! I read about this in the docuentation, the library path is missing. Simple fix, right? I NFS mount the /opt/intel up to the mic so it should go smoothly.
    mic0$ source /opt/intel/composer_xe_2015.2.164/bin/compilervars.sh intel64

    Profiling a complex MPI Application : CESM (Community Earth System Model)

    Hello. 

    CESM is a complex MPI climate model which is a highly parallel application. 

    I am looking for ways to profile CESM runs. The default profiler provides profiling data for only a few routines. I have tried using external profilers like TAU, HPC Toolkit, Allinea Map, ITAC Traceanalyzer and VTune. 

    As I was running CESM across a cluster (with 8 nodes - 16 processors each), it was most beneficial to use HPC Toolkit and Allinea Map for profiling. However, I am keen on finding two metrics for each CESM routine executed.  These are :

    Hey i would like to view the version of MPSS installed in my machine. I ran the following command...

    Hey i would like to view the version of MPSS installed in my machine. I ran the following command 

    # /opt/intel/mic/bin/micinfo

    However, My output says MPSS Version: Not Available . I am able to start and stop the mpss stack by the following commands, and hence i am sure MPSS is installed. 

    $ sudo service mpss start/stop

    I have attached the screenshot of my output for /opt/mic/bin/micinfo for your reference. Kindly suggest on how i can find the version. 

    unable to compile program

    use omp_lib
    program openmp_mic
    integer::threadcount
     !dir$ offload begin target (mic)  
         !$omp parallel 
          threadcount=omp_get_thread_num()
          print *,'The number of threads is ',threadcount
          print *,'hello from thread no ',omp_get_num_thread(),'of',threadcount
         !$omp end parallel
     !dir$ end offload
    end program openmp_mic
    

    Here is my sample program

    i got the following error on compilation.

    icc openmp_mic.f90

    error #6785: This name does not match the unit name.   [OPENMP_MIC]

    end program openmp_mic

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