If you are running on a single node, then btl=openib,sm,self would be
equivalent to btl=sm,self. OMPI is smart enough to know not to use IB
if you are on a single node, and instead uses the shared memory
subsystem.
Are you saying that the inclusion of openib is causing a difference
in behavior, even though all procs are on the same node??
Just want to ensure I understand the problem.
Thanks
Ralph
On Fri, May 1, 2009 at 11:16 AM, Gus Correa <g...@ldeo.columbia.edu
<mailto:g...@ldeo.columbia.edu>> wrote:
Hi OpenMPI and HPC experts
This may or may not be the right forum to post this,
and I am sorry to bother those that think it is not.
I am trying to run the HPL benchmark on our cluster,
compiling it with Gnu and linking to
GotoBLAS (1.26) and OpenMPI (1.3.1),
both also Gnu-compiled.
I have got failures that suggest a memory leak when the
problem size is large, but still within the memory limits
recommended by HPL.
The problem only happens when "openib" is among the OpenMPI
MCA parameters (and the problem size is large).
Any help is appreciated.
Here is a description of what happens.
For starters I am trying HPL on a single node, to get a feeling for
the right parameters (N & NB, P & Q, etc) on dual-socked quad-core
AMD Opteron 2376 "Shanghai"
The HPL recommendation is to use close to 80% of your physical
memory,
to reach top Gigaflop performance.
Our physical memory on a node is 16GB, and this gives a problem size
N=40,000 to keep the 80% memory use.
I tried several block sizes, somewhat correlated to the size of the
processor cache: NB=64 80 96 128 ...
When I run HPL with N=20,000 or smaller all works fine,
and the HPL run completes, regardless of whether "openib"
is present or not on my MCA parameters.
However, moving when I move N=40,000, or even N=35,000,
the run starts OK with NB=64,
but as NB is switched to larger values
the total memory use increases in jumps (as shown by Ganglia),
and becomes uneven across the processors (as shown by "top").
The problem happens if "openib" is among the MCA parameters,
but doesn't happen if I remove "openib" from the MCA list and use
only "sm,self".
For N=35,000, when NB reaches 96 memory use is already above the
physical limit
(16GB), having increased from 12.5GB to over 17GB.
For N=40,000 the problem happens even earlier, with NB=80.
At this point memory swapping kicks in,
and eventually the run dies with memory allocation errors:
================================================================================
T/V N NB P Q Time Gflops
--------------------------------------------------------------------------------
WR01L2L4 35000 128 8 1 539.66 5.297e+01
--------------------------------------------------------------------------------
||Ax-b||_oo/(eps*(||A||_oo*||x||_oo+||b||_oo)*N)= 0.0043992
...... PASSED
HPL ERROR from process # 0, on line 172 of function HPL_pdtest:
>>> [7,0] Memory allocation failed for A, x and b. Skip. <<<
...
***
The code snippet that corresponds to HPL_pdest.c is this,
although the leak is probably somewhere else:
/*
* Allocate dynamic memory
*/
vptr = (void*)malloc( ( (size_t)(ALGO->align) +
(size_t)(mat.ld+1) * (size_t)(mat.nq) ) *
sizeof(double) );
info[0] = (vptr == NULL); info[1] = myrow; info[2] = mycol;
(void) HPL_all_reduce( (void *)(info), 3, HPL_INT, HPL_max,
GRID->all_comm );
if( info[0] != 0 )
{
if( ( myrow == 0 ) && ( mycol == 0 ) )
HPL_pwarn( TEST->outfp, __LINE__, "HPL_pdtest",
"[%d,%d] %s", info[1], info[2],
"Memory allocation failed for A, x and b.
Skip." );
(TEST->kskip)++;
return;
}
***
I found this continued increase in memory use rather strange,
and suggestive of a memory leak in one of the codes being used.
Everything (OpenMPI, GotoBLAS, and HPL)
was compiled using Gnu only (gcc, gfortran, g++).
I haven't changed anything on the compiler's memory model,
i.e., I haven't used or changed the "-mcmodel" flag of gcc
(I don't know if the Makefiles on HPL, GotoBLAS, and OpenMPI use
it.)
No additional load is present on the node,
other than the OS (Linux CentOS 5.2), HPL is running alone.
The cluster has Infiniband.
However, I am running on a single node.
The surprising thing is that if I run on shared memory only
(-mca btl sm,self) there is no memory problem,
the memory use is stable at about 13.9GB,
and the run completes.
So, there is a way around to run on a single node.
(Actually shared memory is presumably the way to go on a single
node.)
However, if I introduce IB (-mca btl openib,sm,self)
among the MCA btl parameters, then memory use blows up.
This is bad news for me, because I want to extend the experiment
to run HPL also across the whole cluster using IB,
which is actually the ultimate goal of HPL, of course!
It also suggests that the problem is somehow related to Infiniband,
maybe hidden under OpenMPI.
Here is the mpiexec command I use (with and without openib):
/path/to/openmpi/bin/mpiexec \
-prefix /the/run/directory \
-np 8 \
-mca btl [openib,]sm,self \
xhpl
Any help, insights, suggestions, reports of previous experiences,
are much appreciated.
Thank you,
Gus Correa
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