[petsc-users] Cannot eagerly initialize cuda, as doing so results in cuda error 35 (cudaErrorInsufficientDriver) : CUDA driver version is insufficient for CUDA runtime version

[Fande Kong]

I spoke too soon. It seems that we have trouble creating cuda/kokkos vecs
now. Got Segmentation fault.

Thanks,

Fande

Program received signal SIGSEGV, Segmentation fault.
0x00002aaab5558b11 in
Petsc::CUPMDevice<(Petsc::CUPMDeviceType)0>::CUPMDeviceInternal::initialize
(this=0x1) at
/home/kongf/workhome/sawtooth/moosegpu/petsc/src/sys/objects/device/impls/cupm/cupmdevice.cxx:54
54 PetscErrorCode CUPMDevice<T>::CUPMDeviceInternal::initialize() noexcept
Missing separate debuginfos, use: debuginfo-install
bzip2-libs-1.0.6-13.el7.x86_64 elfutils-libelf-0.176-5.el7.x86_64
elfutils-libs-0.176-5.el7.x86_64 glibc-2.17-325.el7_9.x86_64
libX11-1.6.7-4.el7_9.x86_64 libXau-1.0.8-2.1.el7.x86_64
libattr-2.4.46-13.el7.x86_64 libcap-2.22-11.el7.x86_64
libibmad-5.4.0.MLNX20190423.1d917ae-0.1.49224.x86_64
libibumad-43.1.1.MLNX20200211.078947f-0.1.49224.x86_64
libibverbs-41mlnx1-OFED.4.9.0.0.7.49224.x86_64
libmlx4-41mlnx1-OFED.4.7.3.0.3.49224.x86_64
libmlx5-41mlnx1-OFED.4.9.0.1.2.49224.x86_64 libnl3-3.2.28-4.el7.x86_64
librdmacm-41mlnx1-OFED.4.7.3.0.6.49224.x86_64
librxe-41mlnx1-OFED.4.4.2.4.6.49224.x86_64 libxcb-1.13-1.el7.x86_64
libxml2-2.9.1-6.el7_9.6.x86_64 numactl-libs-2.0.12-5.el7.x86_64
systemd-libs-219-78.el7_9.3.x86_64 xz-libs-5.2.2-1.el7.x86_64
zlib-1.2.7-19.el7_9.x86_64
(gdb) bt
#0  0x00002aaab5558b11 in
Petsc::CUPMDevice<(Petsc::CUPMDeviceType)0>::CUPMDeviceInternal::initialize
(this=0x1) at
/home/kongf/workhome/sawtooth/moosegpu/petsc/src/sys/objects/device/impls/cupm/cupmdevice.cxx:54
#1  0x00002aaab5558db7 in
Petsc::CUPMDevice<(Petsc::CUPMDeviceType)0>::getDevice
(this=this at entry=0x2aaab7f37b70
<CUDADevice>, device=0x115da00, id=-35, id at entry=-1) at
/home/kongf/workhome/sawtooth/moosegpu/petsc/src/sys/objects/device/impls/cupm/cupmdevice.cxx:344
#2  0x00002aaab55577de in PetscDeviceCreate (type=type at entry=PETSC_DEVICE_CUDA,
devid=devid at entry=-1, device=device at entry=0x2aaab7f37b48
<defaultDevices+8>) at
/home/kongf/workhome/sawtooth/moosegpu/petsc/src/sys/objects/device/interface/device.cxx:107
#3  0x00002aaab5557b3a in PetscDeviceInitializeDefaultDevice_Internal
(type=type at entry=PETSC_DEVICE_CUDA, defaultDeviceId=defaultDeviceId at entry=-1)
at
/home/kongf/workhome/sawtooth/moosegpu/petsc/src/sys/objects/device/interface/device.cxx:273
#4  0x00002aaab5557bf6 in PetscDeviceInitialize
(type=type at entry=PETSC_DEVICE_CUDA)
at
/home/kongf/workhome/sawtooth/moosegpu/petsc/src/sys/objects/device/interface/device.cxx:234
#5  0x00002aaab5661fcd in VecCreate_SeqCUDA (V=0x115d150) at
/home/kongf/workhome/sawtooth/moosegpu/petsc/src/vec/vec/impls/seq/seqcuda/veccuda.c:244
#6  0x00002aaab5649b40 in VecSetType (vec=vec at entry=0x115d150,
method=method at entry=0x2aaab70b45b8 "seqcuda") at
/home/kongf/workhome/sawtooth/moosegpu/petsc/src/vec/vec/interface/vecreg.c:93
#7  0x00002aaab579c33f in VecCreate_CUDA (v=0x115d150) at
/home/kongf/workhome/sawtooth/moosegpu/petsc/src/vec/vec/impls/mpi/mpicuda/
mpicuda.cu:214
#8  0x00002aaab5649b40 in VecSetType (vec=vec at entry=0x115d150,
method=method at entry=0x7fffffff9260 "cuda") at
/home/kongf/workhome/sawtooth/moosegpu/petsc/src/vec/vec/interface/vecreg.c:93
#9  0x00002aaab5648bf1 in VecSetTypeFromOptions_Private (vec=0x115d150,
PetscOptionsObject=0x7fffffff9210) at
/home/kongf/workhome/sawtooth/moosegpu/petsc/src/vec/vec/interface/vector.c:1263
#10 VecSetFromOptions (vec=0x115d150) at
/home/kongf/workhome/sawtooth/moosegpu/petsc/src/vec/vec/interface/vector.c:1297
#11 0x00002aaab02ef227 in libMesh::PetscVector<double>::init
(this=0x11cd1a0, n=441, n_local=441, fast=false, ptype=libMesh::PARALLEL)
at
/home/kongf/workhome/sawtooth/moosegpu/scripts/../libmesh/installed/include/libmesh/petsc_vector.h:693

On Thu, Jan 20, 2022 at 1:09 PM Fande Kong <fdkong.jd at gmail.com> wrote:

> Thanks, Jed,
>
> This worked!
>
> Fande
>
> On Wed, Jan 19, 2022 at 11:03 PM Jed Brown <jed at jedbrown.org> wrote:
>
>> Fande Kong <fdkong.jd at gmail.com> writes:
>>
>> > On Wed, Jan 19, 2022 at 11:39 AM Jacob Faibussowitsch <
>> jacob.fai at gmail.com>
>> > wrote:
>> >
>> >> Are you running on login nodes or compute nodes (I can’t seem to tell
>> from
>> >> the configure.log)?
>> >>
>> >
>> > I was compiling codes on login nodes, and running codes on compute
>> nodes.
>> > Login nodes do not have GPUs, but compute nodes do have GPUs.
>> >
>> > Just to be clear, the same thing (code, machine) with PETSc-3.16.1
>> worked
>> > perfectly. I have this trouble with PETSc-main.
>>
>> I assume you can
>>
>> export PETSC_OPTIONS='-device_enable lazy'
>>
>> and it'll work.
>>
>> I think this should be the default. The main complaint is that timing the
>> first GPU-using event isn't accurate if it includes initialization, but I
>> think this is mostly hypothetical because you can't trust any timing that
>> doesn't preload in some form and the first GPU-using event will almost
>> always be something uninteresting so I think it will rarely lead to
>> confusion. Meanwhile, eager initialization is viscerally disruptive for
>> lots of people.
>>
>
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