[gmx-developers] getting gromacs to run on ORNL summitdev
Sedova, Ada A.
sedovaaa at ornl.gov
Fri May 19 16:52:00 CEST 2017
Ok, thanks. I was talking about the SIMD=VMX vs VSX directives, and yes I know it is ok not to specify, but we would like the maximum performance. But this is not the important issue, this is superfluous to the actual question asked; I was just trying to show you that the build seemed to be successful.
*The main problem I am writing about is the CudaMalloc error I get when trying to run more than 4 mpi ranks. Please see the later sections of the original email.*
Thanks so much,
Postdoctoral Research Associate
Scientific Computing Group, NCCS
Oak Ridge National Laboratory, Oak Ridge, TN
From: gromacs.org_gmx-developers-bounces at maillist.sys.kth.se <gromacs.org_gmx-developers-bounces at maillist.sys.kth.se> on behalf of Szilárd Páll <pall.szilard at gmail.com>
Sent: Friday, May 19, 2017 10:33 AM
To: Discussion list for GROMACS development
Subject: Re: [gmx-developers] getting gromacs to run on ORNL summitdev
Firstly of all, please use the latest release, v2016 has been tested
quite well on IBM Minsky nodes.
Not sure which altivec option are you referring to, but none should be
necessary, the build system should generate correct and sufficient
compiler options for decent performance (unless of course you want to
tune them further).
NVML is only needed if you want reporting of the clocks or if you want
to allow mdrun to change these -- which won't work as AFAIK NVIDIA
does not allow user-space process to change clocks on the P100 (and
make check should also work, but it's easier of you build without
regressiontests enabled in CMake and run the regressiontests
separately. That way you can specify the MPI launcher, custom binary
suffix etc, e.g.
perl gmxtest.pl -mpirun mpirun -np N -ntomp M all
On Fri, May 19, 2017 at 3:45 PM, Sedova, Ada A. <sedovaaa at ornl.gov> wrote:
> Hi folks,
> I am a member of the Scientific Computing group at Oak Ridge National Lab's
> National Center for Computational Sciences (NCCS). We are preparing high
> performance codes for public use on our new Summit system by testing on the
> prototype SummitDev:
> The Summitdev system is an early access system that is one generation
> removed from OLCF’s next big supercomputer, Summit. The system contains
> three racks, each with 18 IBM POWER8 S822LC nodes for a total of 54 nodes.
> Each IBM S822LC node has 2 IBM POWER8 CPUs and 4 NVIDIA Tesla P100 GPUs. The
> POWER8 CPUs have 32 8GB DDR4 memory (256 GB). Each POWER8 node has 10 cores
> with 8 HW threads. The GPUs are connected by NVLink 1.0 at 80GB/s and each
> GPU has 16GB HBM2 memory. The nodes are connected in a full fat-tree via EDR
> InfiniBand. The racks are liquid cooled with a heat exchanger rate.
> Summitdev has access to Spider 2, the OLCF’s center-wide Lustre parallel
> file system.
> I have built gromacs 5.1.4., seemingly successfully, using GPU, MPI, SIMD
> options with CMake directives (I didn't get the alvtivec option completely
> right, but that should be ok). The only things that were not found during
> the cmake were the NVML library (we do not have the Deployment package
> installed), LAPACK (although it did find essl after I set the BLAS
> directive), and some includes like io.h.
> I cannot use the make check because on summitdev I have to launch gmx_mpi
> with mpirun, and I think the make check does not call gmx that way. I have
> manually tested the build tools (pdb2gmx, editconf, grommp, solvate), and
> they work fine.
> However, I cannot get mdrun to work even on one node on a small box of
> water. After playing with the number of processes so that the openMP threads
> message stopped crying, I get the following:
>>>cudaMallocHost of size 1024128 bytes failed: all CUDA-capable devices are
>>> busy or unavailable
> Here is the complete context for this error:
> bash-4.2$ mpirun -np 80 /ccs/home/adaa/gromacs/bin/gmx_mpi mdrun -v -deffnm
> :-) GROMACS - gmx mdrun, VERSION 5.1.4 (-:
> GROMACS is written by:
> Emile Apol Rossen Apostolov Herman J.C. Berendsen Par Bjelkmar
> Aldert van Buuren Rudi van Drunen Anton Feenstra Sebastian Fritsch
> Gerrit Groenhof Christoph Junghans Anca Hamuraru Vincent Hindriksen
> Dimitrios Karkoulis Peter Kasson Jiri Kraus Carsten Kutzner
> Per Larsson Justin A. Lemkul Magnus Lundborg Pieter Meulenhoff
> Erik Marklund Teemu Murtola Szilard Pall Sander Pronk
> Roland Schulz Alexey Shvetsov Michael Shirts Alfons Sijbers
> Peter Tieleman Teemu Virolainen Christian Wennberg Maarten Wolf
> and the project leaders:
> Mark Abraham, Berk Hess, Erik Lindahl, and David van der Spoel
> Copyright (c) 1991-2000, University of Groningen, The Netherlands.
> Copyright (c) 2001-2015, The GROMACS development team at
> Uppsala University, Stockholm University and
> the Royal Institute of Technology, Sweden.
> check out http://www.gromacs.org for more information.
> GROMACS is free software; you can redistribute it and/or modify it
> under the terms of the GNU Lesser General Public License
> as published by the Free Software Foundation; either version 2.1
> of the License, or (at your option) any later version.
> GROMACS: gmx mdrun, VERSION 5.1.4
> Executable: /ccs/home/adaa/gromacs/bin/gmx_mpi
> Data prefix: /ccs/home/adaa/gromacs
> Command line:
> gmx_mpi mdrun -v -deffnm water_em
> Back Off! I just backed up water_em.log to ./#water_em.log.15#
> Number of logical cores detected (160) does not match the number reported by
> OpenMP (80).
> Consider setting the launch configuration manually!
> Running on 4 nodes with total 640 logical cores, 16 compatible GPUs
> Logical cores per node: 160
> Compatible GPUs per node: 4
> All nodes have identical type(s) of GPUs
> Hardware detected on host summitdev-r0c1n04 (the node of MPI rank 0):
> CPU info:
> Vendor: IBM
> Brand: POWER8NVL (raw), altivec supported
> SIMD instructions most likely to fit this hardware: IBM_VSX
> SIMD instructions selected at GROMACS compile time: IBM_VMX
> GPU info:
> Number of GPUs detected: 4
> #0: NVIDIA Tesla P100-SXM2-16GB, compute cap.: 6.0, ECC: yes, stat:
> #1: NVIDIA Tesla P100-SXM2-16GB, compute cap.: 6.0, ECC: yes, stat:
> #2: NVIDIA Tesla P100-SXM2-16GB, compute cap.: 6.0, ECC: yes, stat:
> #3: NVIDIA Tesla P100-SXM2-16GB, compute cap.: 6.0, ECC: yes, stat:
> Compiled SIMD instructions: IBM_VMX, GROMACS could use IBM_VSX on this
> machine, which is better
> Reading file water_em.tpr, VERSION 5.1.4 (single precision)
> Using 80 MPI processes
> Using 8 OpenMP threads per MPI process
> On host summitdev-r0c1n04 4 compatible GPUs are present, with IDs 0,1,2,3
> On host summitdev-r0c1n04 4 GPUs auto-selected for this run.
> Mapping of GPU IDs to the 20 PP ranks in this node:
> NOTE: GROMACS was configured without NVML support hence it can not exploit
> application clocks of the detected Tesla P100-SXM2-16GB GPU to improve
> Recompile with the NVML library (compatible with the driver used) or
> set application clocks manually.
> Program gmx mdrun, VERSION 5.1.4
> Source code file:
> line: 70
> Fatal error:
> cudaMallocHost of size 1024128 bytes failed: all CUDA-capable devices are
> busy or unavailable
> Thanks for any help you can offer.
> Ada Sedova
> Postdoctoral Research Associate
> Scientific Computing Group, NCCS
> Oak Ridge National Laboratory, Oak Ridge, TN
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