That's pretty weird.
I notice that you're using 3.1.0rc2. Does the same thing happen with Open MPI
3.1.3?
> On Oct 31, 2018, at 9:08 PM, Dmitry N. Mikushin wrote:
>
> Dear all,
>
> ompi_info reports pml components are available:
>
> $ /usr/mpi/gcc/openmpi-3.1.0rc2/bin/ompi_info -a | grep
mmap closed
[se01.grid.tuc.gr:19607] mca: base: close: unloading component mmap
jb
-Original Message-
From: users [mailto:users-boun...@lists.open-mpi.org] On Behalf Of
gil...@rist.or.jp
Sent: Monday, May 15, 2017 1:47 PM
To: Open MPI Users <users@lists.open-mpi.org>
Subject: Re:
[se01.grid.tuc.gr:19607] mca: base: close: unloading component mmap
jb
-Original Message-
From: users [mailto:users-boun...@lists.open-mpi.org] On Behalf Of
gil...@rist.or.jp
Sent: Monday, May 15, 2017 1:47 PM
To: Open MPI Users <users@lists.open-mpi.org>
Subject: Re: [OMPI
Ioannis,
### What version of Open MPI are you using? (e.g., v1.10.3, v2.1.0, git
branch name and hash, etc.)
### Describe how Open MPI was installed (e.g., from a source/
distribution tarball, from a git clone, from an operating system
distribution package, etc.)
### Please describe the
Hi,
it seems that your ompi was compiled with ofed ver X but running on ofed
ver Y.
X and Y are incompatible.
On Mon, Feb 22, 2016 at 8:18 PM, Mark Potter wrote:
> I am usually able to find the answer to my problems by searching the
> archive but I've run up against one
As I said, the degree of impact depends on the messaging pattern. If rank A
typically sends/recvs with rank A+!, then you won't see much difference.
However, if rank A typically sends/recvs with rank N-A, where N=#ranks in job,
then you'll see a very large difference.
You might try simply
Yes MM... But here a single node has 16cores not 64 cores.
The 1st two jobs were with OMPI-1.4.5.
16 cores of single node - 3692.403
16 cores on two nodes (8 cores per node) - 12338.809
The 1st two jobs were with OMPI-1.6.5.
16 cores of single node - 3547.879
16 cores on
Yes, though the degree of impact obviously depends on the messaging pattern of
the app.
On Oct 31, 2013, at 2:50 AM, MM wrote:
> Of course, by this you mean, with the same total number of nodes, for e.g. 64
> process on 1 node using shared mem, vs 64 processes spread
Of course, by this you mean, with the same total number of nodes, for e.g.
64 process on 1 node using shared mem, vs 64 processes spread over 2 nodes
(32 each for e.g.)?
On 29 October 2013 14:37, Ralph Castain wrote:
> As someone previously noted, apps will always run slower
I don't think it's a bug in OMPI, but more likely reflects improvements in the
default collective algorithms. If you want to further improve performance, you
should bind your processes to a core (if your application isn't threaded) or to
a socket (if threaded).
As someone previously noted,
As discussed earlier, the executable which was compiled with
OpenMPI-1.4.5 gave very low performance of 12338.809 seconds when job
executed on two nodes(8 cores per node). The same job run on single
node(all 16cores) got executed in just 3692.403 seconds. Now I compiled the
application with
Hi,
As per your instruction, I did the profiling of the application with
mpiP. Following is the difference between the two runs:
Run 1: 16 mpi processes on single node
@--- MPI Time (seconds) ---
Hi,
When all processes run on the same node they communicate via shared memory
which delivers both high bandwidth and low latency. InfiniBand is slower and
more latent than shared memory. Your parallel algorithm might simply be very
latency sensitive and you should profile it with something like
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
Pramoda,
That paper was exploring an application of a proposed extension to the MPI
standard for fault tolerance purposes. By default this proposed interface
is not provided by Open MPI. We have created a prototype version of Open
MPI that includes this extension, and it can be found at the
e.
>
> I hope this helps,
> Gus Correa
>
>>
>> From: users-boun...@open-mpi.org [users-boun...@open-mpi.org] On Behalf Of
>> jody [jody@gmail.com]
>> Sent: Friday, March 16, 2012 4:04 AM
>> To: Open MPI Users
>>
i.org] On Behalf Of
> jody [jody@gmail.com]
> Sent: Friday, March 16, 2012 4:04 AM
> To: Open MPI Users
> Subject: Re: [OMPI users] (no subject)
>
> Hi
>
> Did you run your program with mpirun?
> For example:
> mpirun -np 4 ./a.out
>
> jody
>
> On F
From: users-boun...@open-mpi.org [users-boun...@open-mpi.org] On Behalf Of jody
[jody@gmail.com]
Sent: Friday, March 16, 2012 4:04 AM
To: Open MPI Users
Subject: Re: [OMPI users] (no subject)
Hi
Did you run your program with mpirun?
For example
Hi
Did you run your program with mpirun?
For example:
mpirun -np 4 ./a.out
jody
On Fri, Mar 16, 2012 at 7:24 AM, harini.s .. wrote:
> Hi ,
>
> I am very new to openMPI and I just installed openMPI 4.1.5 on Linux
> platform. Now am trying to run the examples in the
This type of error message *usually* means that you haven't set your
LD_LIBRARY_PATH to point to the intel library. Further, this *usually* means
that you aren't sourcing the iccvars.sh file in your shell startup file on
remote nodes (or iccvars.csh, depending on your shell).
Remember that
On Friday 11 June 2010, asmae.elbahlo...@mpsa.com wrote:
> Hello
> i have a problem with parFoam, when i type in the terminal parafoam, it
> lauches nothing but in the terminal i have :
This is the OpenMPI mailling list, not OpenFoam. I suggest you contact the
team behind OpenFoam.
I also
The functionality of checkpoint operation is not tied to CPU
utilization. Are you running with the C/R thread enabled? If not then
the checkpoint might be waiting until the process enters the MPI
library.
Does the system emit an error message describing the error that it
encountered?
Jeff Squyres wrote:
On Feb 21, 2010, at 10:25 AM, Rodolfo Chua wrote:
I used openMPI compiled with the GNU (gcc) compiler to run GULP code in parallel.
But when I try to input "mpirun -np 2 gulp ", GULP did not run in two
processors. Can you give me any suggestion on how to
On Feb 21, 2010, at 10:25 AM, Rodolfo Chua wrote:
> I used openMPI compiled with the GNU (gcc) compiler to run GULP code in
> parallel.
> But when I try to input "mpirun -np 2 gulp ", GULP did not run in two
> processors. Can you give me any suggestion on how to compile GULP code
> exactly
Hi Konstantinos, list
If you want "qsub" you need to install the resource manager /
queue system in your PC.
Assuming your PC is a Linux box, if your resource manager
is Torque/PBS on some Linux distributions it can be installed
from an rpm through yum (or equivalent mechanism), for instance.
I
On Friday 30 October 2009, Konstantinos Angelopoulos wrote:
> good part of the day,
>
> I am trying to run a parallel program (that used to run in a cluster) in my
> double core pc. Could openmpi simulate the distribution of the parallel
> jobs to my 2 processors
If your program is an MPI
The MPI standard does not define any functions for taking checkpoints
from the application.
The checkpoint/restart work in Open MPI is a command line driven,
transparent solution. So the application does not have change in any
way, and the user (or scheduler) must initiate the checkpoint
boun...@open-mpi.org] On
Behalf Of Jeff Squyres
Sent: Thursday, May 14, 2009 3:02 PM
To: Open MPI Users
Subject: Re: [OMPI users] (no subject)
Please send all the information listed here:
http://www.open-mpi.org/community/help/
On May 14, 2009, at 1:20 AM, Camelia Avram wrote:
> Ni,
> I
Please send all the information listed here:
http://www.open-mpi.org/community/help/
On May 14, 2009, at 1:20 AM, Camelia Avram wrote:
Ni,
I’m new to MPI. I’m trying to install OpenMPI and I got some errors.
I use the command: ./configure –prefix=/usr/local – no problem with
this
But
On May 27, 2008, at 9:33 AM, Gabriele Fatigati wrote:
Great, it works!
Thank you very very much.
But, can you explain me how this parameter works?
You might want to have a look at this short video for a little
background on some relevant OpenFabrics concepts:
Great, it works!
Thank you very very much.
But, can you explain me how this parameter works?
On Thu, 15 May 2008 21:40:45 -0400, Jeff Squyres said:
>
> Sorry this message escaped for so long it got buried in my INBOX. The
> problem you're seeing might be related to one we just answered about
Sorry this message escaped for so long it got buried in my INBOX. The
problem you're seeing might be related to one we just answered about a
similar situation:
http://www.open-mpi.org/community/lists/users/2008/05/5657.php
See if using the pml_ob1_use_early_completion flag works for
I can think of several advantages that using blocking or signals to
reduce the cpu load would have:
- Reduced energy consumption
- Running additional background programs could be done far more efficiently
- It would be much simpler to examine the load balance.
It may depend on the type of
Do you really mean that Open-MPI uses busy loop in order to handle
incomming calls? It seems to be incorrect since
spinning is a very bad and inefficient technique for this purpose. Why
don't you use blocking and/or signals instead of
that? I think the priority of this task is very high because
OMPI doesn't use SYSV shared memory; it uses mmaped files.
ompi_info will tell you all about the components installed. If you
see a BTL component named "sm", then shared memory support is
installed. I do not believe that we conditionally install sm on Linux
or OS X systems -- it should
I am running the test program on Darwin 8.11.1, 1.83 Ghz Intel dual
core. My Open MPI install is 1.2.4.
I can't see any allocated shared memory segment on my system (ipcs -
m), although the receiver opens a couple of TCP sockets in listening
mode. It looks like my implementation does not use
?
Thank you.
ÔÚÄúµÄÀ´ÐÅÖÐÔø¾Ìáµ½:
>From: "Götz Waschk" <goetz.was...@gmail.com>
>Reply-To: Open MPI Users <us...@open-mpi.org>
>To: "Open MPI Users" <us...@open-mpi.org>
>Subject: Re: [OMPI users] (no subject)
>Date:Wed, 4 Apr 2007 13:28:15 +0
Check out "Windows Compute Cluster Server 2003",
http://www.microsoft.com/windowsserver2003/ccs/default.mspx.
From the FAQ: "Windows Compute Cluster Server 2003 comes with the
Microsoft Message Passing Interface (MS MPI), an MPI stack based on the
MPICH2 implementation from Argonne National
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