[CP2K:7579] terrible performance across infiniband
Glen MacLachlan
mac... at gwu.edu
Tue Mar 22 16:20:31 UTC 2016
There are more ways to benchmark MPI than you can shake a stick at but NASA
has a pretty simple suite of tests called NPB that is really easy to
compile and run:
http://www.nas.nasa.gov/publications/npb.html
You can benchmark MPI by itself, OpenMP by itself, or benchmark MPI+OpenMPI
together.
Best,
Glen
==========================================
Glen MacLachlan, PhD
*HPC Specialist *
*for Physical Sciences &*
*Professorial Lecturer, Data Sciences*
Office of Technology Services
The George Washington University
725 21st Street
Washington, DC 20052
Suite 211, Corcoran Hall
==========================================
On Tue, Mar 22, 2016 at 11:15 AM, Glen MacLachlan <mac... at gwu.edu> wrote:
> Sorry, it's more accurate to say the circumflex "^" is a regex character
> that *reverses* the match.
>
> Best,
> Glen
>
> ==========================================
> Glen MacLachlan, PhD
> *HPC Specialist *
> *for Physical Sciences &*
>
> *Professorial Lecturer, Data Sciences*
>
> Office of Technology Services
> The George Washington University
> 725 21st Street
> Washington, DC 20052
> Suite 211, Corcoran Hall
>
> ==========================================
>
>
>
>
> On Tue, Mar 22, 2016 at 11:12 AM, Glen MacLachlan <mac... at gwu.edu> wrote:
>
>> Yeah, the ^ is a regular expression character that means ignore what
>> comes after -- think of it as a negation.
>>
>> Best,
>> Glen
>>
>> ==========================================
>> Glen MacLachlan, PhD
>> *HPC Specialist *
>> *for Physical Sciences &*
>>
>> *Professorial Lecturer, Data Sciences*
>>
>> Office of Technology Services
>> The George Washington University
>> 725 21st Street
>> Washington, DC 20052
>> Suite 211, Corcoran Hall
>>
>> ==========================================
>>
>>
>>
>>
>> On Tue, Mar 22, 2016 at 11:04 AM, Cohen, Ronald <
>> rco... at carnegiescience.edu> wrote:
>>
>>> Thank you so much. It is a bit difficult because I did not set up this
>>> machine and do not have root access, but I know it is a mess. I backed up
>>> to just try the HPL benchmark.
>>> I am finding 100 GFLOPS one node performance on N=2000 and 16 cores, and
>>> 1.5 GFLOPS using two nodes, 8 cores per node. So there is definately
>>> something really wrong. I need to getthis working before I can worry about
>>> threads or cp2k.
>>> Was that a caret in your command above:
>>>
>>> mpirun --mca btl ^tcp
>>>
>>> ?
>>>
>>> I looked through my openmpi build and it seems to have found the
>>> infiniband includes such as they exist on the machine, but I could not the
>>> expected mxm or Mellanox drivers anywhere on the machine.
>>>
>>> I am CCing Peter Fox, the person who volunteers his time for this
>>> machine, and who has root access!
>>>
>>> Sincerely,
>>>
>>> Ron
>>>
>>>
>>> ---
>>> Ronald Cohen
>>> Geophysical Laboratory
>>> Carnegie Institution
>>> 5251 Broad Branch Rd., N.W.
>>> Washington, D.C. 20015
>>> rco... at carnegiescience.edu
>>> office: 202-478-8937
>>> skype: ronaldcohen
>>> https://twitter.com/recohen3
>>> https://www.linkedin.com/profile/view?id=163327727
>>>
>>> On Tue, Mar 22, 2016 at 10:32 AM, Glen MacLachlan <mac... at gwu.edu>
>>> wrote:
>>>
>>>> Hi Ron,
>>>>
>>>> There's a chance that OpenMPI wasn't configured to use IB properly. Why
>>>> don't you disable tcp and see if you are using IB? It's easy
>>>>
>>>> mpirun --mca btl ^tcp ...
>>>>
>>>>
>>>> Regarding OpenMP:
>>>> I'm not sure we're converging on the same discussion anymore but
>>>> setting OMP_NUM_THREADS=1 does *not* disable multithreading overhead
>>>> -- you need to compile without the fopenmp to get a measure of true single
>>>> thread performance.
>>>>
>>>>
>>>> Best,
>>>> Glen
>>>>
>>>> ==========================================
>>>> Glen MacLachlan, PhD
>>>> *HPC Specialist *
>>>> *for Physical Sciences &*
>>>>
>>>> *Professorial Lecturer, Data Sciences*
>>>>
>>>> Office of Technology Services
>>>> The George Washington University
>>>> 725 21st Street
>>>> Washington, DC 20052
>>>> Suite 211, Corcoran Hall
>>>>
>>>> ==========================================
>>>>
>>>>
>>>>
>>>>
>>>> On Mon, Mar 21, 2016 at 5:05 PM, Ronald Cohen <
>>>> rco... at carnegiescience.edu> wrote:
>>>>
>>>>> According to my experience in general, or the cp2k web pages in
>>>>> particular that is not the case. Please see the performance page for
>>>>> cp2k. The problem I am sure now is with the openmpi build not using the
>>>>> proper infiniband libraries or drivers.
>>>>>
>>>>> Thank you!
>>>>>
>>>>> Ron
>>>>>
>>>>> Sent from my iPad
>>>>>
>>>>> On Mar 21, 2016, at 5:36 PM, Glen MacLachlan <mac... at gwu.edu> wrote:
>>>>>
>>>>> It's hard to talk about the performance when you set OMP_NUM_THREADS =
>>>>> 1 because there is so much overhead associated with OpenMP that launching 1
>>>>> thread almost always is a performance killer. In fact, OMP_NUM_THREADS=1
>>>>> never rivals single-threaded performance-wise because of that overhead. No
>>>>> one ever sets OMP_NUM_THREADS=1 unless they are playing around...We never
>>>>> do that in production jobs. How about when you scale up to 4 or 8 threads?
>>>>>
>>>>> Glen
>>>>>
>>>>> P.S. I see you're in DC...so am I. I support CP2K for the chemists at
>>>>> GWU. Hope you aren't using Metro to get around the DMV :p
>>>>> On Mar 21, 2016 5:11 PM, "Cohen, Ronald" <rco... at carnegiescience.edu>
>>>>> wrote:
>>>>>
>>>>>> Yes I am using hybrid mode. But even if I set OMP_NUM_THREADS=1
>>>>>> performance is terrible.
>>>>>>
>>>>>> ---
>>>>>> Ronald Cohen
>>>>>> Geophysical Laboratory
>>>>>> Carnegie Institution
>>>>>> 5251 Broad Branch Rd., N.W.
>>>>>> Washington, D.C. 20015
>>>>>> rco... at carnegiescience.edu
>>>>>> office: 202-478-8937
>>>>>> skype: ronaldcohen
>>>>>> https://twitter.com/recohen3
>>>>>> https://www.linkedin.com/profile/view?id=163327727
>>>>>>
>>>>>> On Mon, Mar 21, 2016 at 5:04 PM, Glen MacLachlan <mac... at gwu.edu>
>>>>>> wrote:
>>>>>>
>>>>>>> Are you conflating MPI with OpenMP? OMP_NUM_THREADS sets the number
>>>>>>> of threads used by OpenMP and OpenMP doesn't work on a distributed memory
>>>>>>> environment unless you piggyback on MPI which would be a hybrid use and I'm
>>>>>>> not sure CP2K ever worked optimally in hybrid mode or at least that's what
>>>>>>> I've gotten from reading the comments on the source code.
>>>>>>>
>>>>>>> As for MPI, are you sure your MPI stack was compiled with IB
>>>>>>> bindings? I had similar issues and the problem was that I wasn't actually
>>>>>>> using IB. If you can, disable eth and leave only IB and see what happens.
>>>>>>>
>>>>>>> Glen
>>>>>>> On Mar 21, 2016 4:48 PM, "Ronald Cohen" <rco... at carnegiescience.edu>
>>>>>>> wrote:
>>>>>>>
>>>>>>>> On the dco machine deepcarbon I find decent single node mpi
>>>>>>>> performnace, but running on the same number of processors across two nodes
>>>>>>>> is terrible, even with the infiniband interconect. This is the cp2k H2O-64
>>>>>>>> benchmark:
>>>>>>>>
>>>>>>>>
>>>>>>>>
>>>>>>>> On 16 cores on 1 node: total time 530 seconds
>>>>>>>> SUBROUTINE CALLS ASD SELF TIME
>>>>>>>> TOTAL TIME
>>>>>>>> MAXIMUM AVERAGE MAXIMUM
>>>>>>>> AVERAGE MAXIMUM
>>>>>>>> CP2K 1 1.0 0.015 0.019
>>>>>>>> 530.306 530.306
>>>>>>>> -
>>>>>>>> -
>>>>>>>> - MESSAGE PASSING PERFORMANCE
>>>>>>>> -
>>>>>>>> -
>>>>>>>> -
>>>>>>>>
>>>>>>>> -------------------------------------------------------------------------------
>>>>>>>>
>>>>>>>> ROUTINE CALLS TOT TIME [s] AVE VOLUME [Bytes]
>>>>>>>> PERFORMANCE [MB/s]
>>>>>>>> MP_Group 5 0.000
>>>>>>>> MP_Bcast 4103 0.029 44140.
>>>>>>>> 6191.05
>>>>>>>> MP_Allreduce 21860 7.077 263.
>>>>>>>> 0.81
>>>>>>>> MP_Gather 62 0.008 320.
>>>>>>>> 2.53
>>>>>>>> MP_Sync 54 0.001
>>>>>>>> MP_Alltoall 19407 26.839 648289.
>>>>>>>> 468.77
>>>>>>>> MP_ISendRecv 21600 0.091 94533.
>>>>>>>> 22371.25
>>>>>>>> MP_Wait 238786 50.545
>>>>>>>> MP_comm_split 50 0.004
>>>>>>>> MP_ISend 97572 0.741 239205.
>>>>>>>> 31518.68
>>>>>>>> MP_IRecv 97572 8.605 239170.
>>>>>>>> 2711.98
>>>>>>>> MP_Memory 167778 45.018
>>>>>>>>
>>>>>>>> -------------------------------------------------------------------------------
>>>>>>>>
>>>>>>>>
>>>>>>>> on 16 cores on 2 nodes: total time 5053 seconds !!
>>>>>>>>
>>>>>>>> SUBROUTINE CALLS ASD SELF TIME
>>>>>>>> TOTAL TIME
>>>>>>>> MAXIMUM AVERAGE MAXIMUM
>>>>>>>> AVERAGE MAXIMUM
>>>>>>>> CP2K 1 1.0 0.311 0.363
>>>>>>>> 5052.904 5052.909
>>>>>>>>
>>>>>>>>
>>>>>>>>
>>>>>>>> -------------------------------------------------------------------------------
>>>>>>>> -
>>>>>>>> -
>>>>>>>> - MESSAGE PASSING PERFORMANCE
>>>>>>>> -
>>>>>>>> -
>>>>>>>> -
>>>>>>>>
>>>>>>>> -------------------------------------------------------------------------------
>>>>>>>>
>>>>>>>> ROUTINE CALLS TOT TIME [s] AVE VOLUME [Bytes]
>>>>>>>> PERFORMANCE [MB/s]
>>>>>>>> MP_Group 5 0.000
>>>>>>>> MP_Bcast 4119 0.258 43968.
>>>>>>>> 700.70
>>>>>>>> MP_Allreduce 21892 1546.186 263.
>>>>>>>> 0.00
>>>>>>>> MP_Gather 62 0.049 320.
>>>>>>>> 0.40
>>>>>>>> MP_Sync 54 0.071
>>>>>>>> MP_Alltoall 19407 1507.024 648289.
>>>>>>>> 8.35
>>>>>>>> MP_ISendRecv 21600 0.104 94533.
>>>>>>>> 19656.44
>>>>>>>> MP_Wait 238786 513.507
>>>>>>>> MP_comm_split 50 4.096
>>>>>>>> MP_ISend 97572 1.102 239206.
>>>>>>>> 21176.09
>>>>>>>> MP_IRecv 97572 2.739 239171.
>>>>>>>> 8520.75
>>>>>>>> MP_Memory 167778 18.845
>>>>>>>>
>>>>>>>> -------------------------------------------------------------------------------
>>>>>>>>
>>>>>>>> Any ideas? The code was built with the latest gfortran and I built
>>>>>>>> all of the dependencies, using this arch file.
>>>>>>>>
>>>>>>>> CC = gcc
>>>>>>>> CPP =
>>>>>>>> FC = mpif90
>>>>>>>> LD = mpif90
>>>>>>>> AR = ar -r
>>>>>>>> PREFIX = /home/rcohen
>>>>>>>> FFTW_INC = $(PREFIX)/include
>>>>>>>> FFTW_LIB = $(PREFIX)/lib
>>>>>>>> LIBINT_INC = $(PREFIX)/include
>>>>>>>> LIBINT_LIB = $(PREFIX)/lib
>>>>>>>> LIBXC_INC = $(PREFIX)/include
>>>>>>>> LIBXC_LIB = $(PREFIX)/lib
>>>>>>>> GCC_LIB = $(PREFIX)/gcc-trunk/lib
>>>>>>>> GCC_LIB64 = $(PREFIX)/gcc-trunk/lib64
>>>>>>>> GCC_INC = $(PREFIX)/gcc-trunk/include
>>>>>>>> DFLAGS = -D__FFTW3 -D__LIBINT -D__LIBXC2\
>>>>>>>> -D__LIBINT_MAX_AM=7 -D__LIBDERIV_MAX_AM1=6 -D__MAX_CONTR=4\
>>>>>>>> -D__parallel -D__SCALAPACK -D__HAS_smm_dnn -D__ELPA3
>>>>>>>> CPPFLAGS =
>>>>>>>> FCFLAGS = $(DFLAGS) -O2 -ffast-math -ffree-form
>>>>>>>> -ffree-line-length-none\
>>>>>>>> -fopenmp -ftree-vectorize -funroll-loops\
>>>>>>>> -mtune=native \
>>>>>>>> -I$(FFTW_INC) -I$(LIBINT_INC) -I$(LIBXC_INC)
>>>>>>>> -I$(MKLROOT)/include \
>>>>>>>> -I$(GCC_INC)
>>>>>>>> -I$(PREFIX)/include/elpa_openmp-2015.11.001/modules
>>>>>>>> LIBS = \
>>>>>>>> $(PREFIX)/lib/libscalapack.a
>>>>>>>> $(PREFIX)/lib/libsmm_dnn_sandybridge-2015-11-10.a \
>>>>>>>> $(FFTW_LIB)/libfftw3.a\
>>>>>>>> $(FFTW_LIB)/libfftw3_threads.a\
>>>>>>>> $(LIBXC_LIB)/libxcf90.a\
>>>>>>>> $(LIBXC_LIB)/libxc.a\
>>>>>>>> $(PREFIX)/lib/liblapack.a $(PREFIX)/lib/libtmglib.a
>>>>>>>> $(PREFIX)/lib/libgomp.a \
>>>>>>>> $(PREFIX)/lib/libderiv.a $(PREFIX)/lib/libint.a -lelpa_openmp
>>>>>>>> -lgomp -lopenblas
>>>>>>>> LDFLAGS = $(FCFLAGS) -L$(GCC_LIB64) -L$(GCC_LIB)
>>>>>>>> -static-libgfortran -L$(PREFIX)/lib
>>>>>>>>
>>>>>>>> It was run with OMP_NUM_THREADS=2 on the two nodes and OMP_NUM_THREADS=1
>>>>>>>> on the one node.
>>>>>>>> Running with OMP_NUM_THREADS=1 on two nodes .
>>>>>>>>
>>>>>>>> I am now checking whether OMP_NUM_THREADS=1 on two nodes is faster
>>>>>>>> than OMP_NUM_THREADS=2 , but I do not think so.
>>>>>>>>
>>>>>>>> Ron Cohen
>>>>>>>>
>>>>>>>>
>>>>>>>>
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>>>>>>
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>>>
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>>
>>
>
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