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openMP 5.0 support in ifort

Hello

I noticed that in devcloud it is available the beta version of ifort 2021 which should support openMP 5.

I tried to compile this small code

program  vec_mult
   use iso_fortran_env, only: dp => real64
   use omp_lib , only : omp_get_team_num
   integer, parameter  :: N =1000000
   integer ::  i,  omp_get_thread_num
   external :: omp_get_thread_num
   real(dp)     ::  p(N), v1(N), v2(N), dx, sum
    integer  :: flag,t(12)
   dx = 4._dp * atan(1._dp)/ dble(N)
   s = 0._dp
   !$omp target map(from:p)
   !$omp parallel do
    do i=1,N
      p(i) = sin(dble(i)*dx)*sin(dble(i)*dx)*dx
    end do
    t = 0
    !$omp end target
    !$omp target   map(tofrom:s) map(to:p)  
    !$omp parallel do reduction(+:sum)
    do i =1, N
        sum = sum + p(i)
    end do
   !$omp end target
   print *, sum !, sum(p) 
end program

but the compiler issues an ICE:   segmentation violation signal raised

the error is caused by the reduction, withou it compiles and run ...

Pietro

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Retired Employee
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Typically Intel wants you to

Typically Intel wants you to use the Online Service Center to report bugs in beta versions.

--
Steve (aka "Doctor Fortran") - https://stevelionel.com/drfortran
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Moderator
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With the release of the beta

With the release of the beta version of Intel oneAPI, Fortran users are posting their issues on this forum. DevCloud users are compiling with a beta version of 2021. i.e. Intel(R) Fortran Intel(R) 64 Compiler for applications running on Intel(R) 64, Version 2021.1 Beta Build 20191031

What compiler options are you using?

There are some known limitations with the beta Fortran compiler available with oneAPI.  Check out the Release Notes.

 

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Hi I am just using

Hi I am just using

just

ifx  -qopenmp

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Moderator
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Thank you.  I duplicated your

Thank you.  I duplicated your problem, the ICE.  I successfully compiled it with the nightly build of the compiler.  Look for it to work in the beta release due in January.

BTW...  the ifx command will be going away.  Use "ifort -qnextgen -qopenmp" instead.

For others who may not know about the beta Fortran compiler available with oneAPI beta here's some more information.

The Fortran next generation code generator that is invoked when compiling with the -qnextgen compiler option does not yet support all language features. 

At present it supports:

  • All Fortran 77 language features, except for alternate entries
  • Much of Fortran 90.  Pointers, derived types and others are not yet fully supported
  • Most of the OpenMP 4.5 directives

Features are continually being added.  Check the release notes for more details and the latest news.

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Moderator
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One more tip... check out the

One more tip... check out the Getting Started Guide.  It's mostly about C++, but there's a bit there about Fortran.   There are additional compiler options required when you use !$OMP TARGET to use the accelerator.  There's also information about some useful environment variables. I'm partial to LIBOMPTARGET_PROFILE.

 

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Thanks a lot !!!

Thanks a lot !!!

looking forward for the next version.

Pietro

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I have a query about OpenMP 5

I have a query about OpenMP 5.0

A bit of background for basis of question: One of my Xeon systems has dual Knights Corner coprocessors. The KNC has been discontinued. The programming paradigm permitted offload programming that was not part of the OpenMP syntax (an off loaded kernel could use OpenMP within the KNC), but was functionally similar with the copy clause and other clauses/directives. The KNC offload could be used to offload to a KNC across a network.

One of the questions/feature I couldn't get answered before, was could the KNC offload paradigm be used to offload to a different node host CPU. IOW use the offload feature in place of using OpenMPI or coarray (over MPI). No reply on this.

What I would like to know is, does the OpenMP 5.0 permit offloading across a cluster, and or remote system ( e.g. TCPIP or fabric) to the host CPU(s) on a node as opposed to a GPU located locally or remotely.

If, yes, then can someone show a simple example by adapting the matrix multiply given in the getting started guid (see post #5 for link).

Jim Dempsey

 

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