Re: [OMPI users] [EXTERNAL] Re: Build Failing for OpenMPI 1.7.2 and CUDA 5.5.11

2013-10-07 Thread Rolf vandeVaart
Good. This is fixed in Open MPI 1.7.3 by the way. I will add note to FAQ on building Open MPI 1.7.2. >-Original Message- >From: users [mailto:users-boun...@open-mpi.org] On Behalf Of Hammond, >Simon David (-EXP) >Sent: Monday, October 07, 2013 4:17 PM >To: Open MPI Users >Subject: Re:

Re: [OMPI users] [EXTERNAL] Re: Build Failing for OpenMPI 1.7.2 and CUDA 5.5.11

2013-10-07 Thread Hammond, Simon David (-EXP)
Thanks Rolf, that seems to have made the code compile and make successfully. S. -- Simon Hammond Scalable Computer Architectures (CSRI/146, 01422) Sandia National Laboratories, NM, USA On 10/7/13 1:47 PM, "Rolf vandeVaart" wrote: >That might be a bug. While I

Re: [OMPI users] Build Failing for OpenMPI 1.7.2 and CUDA 5.5.11

2013-10-07 Thread Rolf vandeVaart
That might be a bug. While I am checking, you could try configuring with this additional flag: --enable-mca-no-build=pml-bfo Rolf >-Original Message- >From: users [mailto:users-boun...@open-mpi.org] On Behalf Of Hammond, >Simon David (-EXP) >Sent: Monday, October 07, 2013 3:30 PM >To:

[OMPI users] Build Failing for OpenMPI 1.7.2 and CUDA 5.5.11

2013-10-07 Thread Hammond, Simon David (-EXP)
Hey everyone, I am trying to build OpenMPI 1.7.2 with CUDA enabled, OpenMPI will configure successfully but I am seeing a build error relating to the inclusion of the CUDA options (at least I think so). Do you guys know if this is a bug or whether something is wrong with how we are configuring

Re: [OMPI users] (no subject)

2013-10-07 Thread Reuti
Hi, Am 07.10.2013 um 08:45 schrieb San B: > I'm facing a performance issue with a scientific application(Fortran). The > issue is, it runs faster on single node but runs very slow on multiple nodes. > For example, a 16 core job on single node finishes in 1hr 2mins, but the same > job on two

[OMPI users] (no subject)

2013-10-07 Thread San B
Hi, I'm facing a performance issue with a scientific application(Fortran). The issue is, it runs faster on single node but runs very slow on multiple nodes. For example, a 16 core job on single node finishes in 1hr 2mins, but the same job on two nodes (i.e. 8 cores per node & remaining 8 cores