[Openmp-dev] Target CUDA RTL --> The primary context is inactive, set its flags to CU_CTX_SCHED_BLOCKING_SYNC
Itaru Kitayama via Openmp-dev
openmp-dev at lists.llvm.org
Mon Sep 28 16:21:50 PDT 2020
$ which nvcc
/usr/local/software/jureca/Stages/2019a/software/CUDA/10.1.105/bin/nvcc
[kitayama1 at jrc0004 kitayama1]$ nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2019 NVIDIA Corporation
Built on Fri_Feb__8_19:08:17_PST_2019
Cuda compilation tools, release 10.1, V10.1.105
[kitayama1 at jrc0004 kitayama1]$ ldd
/p/project/cjzam11/kitayama1/opt/clang/current/lib/libomptarget.rtl.cuda.so
linux-vdso.so.1 => (0x00007ffc2a767000)
libcuda.so.1 =>
/usr/local/software/jureca/Stages/2019a/software/nvidia/driver/lib64/libcuda.so.1
(0x00002ac5418b9000)
libelf.so.1 => /usr/lib64/libelf.so.1 (0x00002ac542aa1000)
libc++.so.1 => /p/project/cjzam11/kitayama1/opt/clang/current/lib/libc++.so.1
(0x00002ac5416d7000)
libc++abi.so.1 =>
/p/project/cjzam11/kitayama1/opt/clang/current/lib/libc++abi.so.1
(0x00002ac5417a0000)
libm.so.6 => /usr/lib64/libm.so.6 (0x00002ac542cb9000)
libgcc_s.so.1 =>
/usr/local/software/jureca/Stages/2019a/software/GCCcore/8.3.0/lib64/libgcc_s.so.1
(0x00002ac5417e2000)
libc.so.6 => /usr/lib64/libc.so.6 (0x00002ac542fbb000)
libdl.so.2 => /usr/lib64/libdl.so.2 (0x00002ac543389000)
libpthread.so.0 => /usr/lib64/libpthread.so.0 (0x00002ac54358d000)
librt.so.1 => /usr/lib64/librt.so.1 (0x00002ac5437a9000)
libz.so.1 => /usr/local/software/jureca/Stages/2019a/software/zlib/1.2.11-GCCcore-8.3.0/lib/libz.so.1
(0x00002ac5417fd000)
/lib64/ld-linux-x86-64.so.2 (0x00002ac541695000)
libatomic.so.1 =>
/usr/local/software/jureca/Stages/2019a/software/GCCcore/8.3.0/lib64/libatomic.so.1
(0x00002ac541816000)
[kitayama1 at jrc0004 kitayama1]$ nvidia-smi
Tue Sep 29 01:21:23 2020
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 440.33.01 Driver Version: 440.33.01 CUDA Version: 10.2 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 Tesla K80 On | 00000000:06:00.0 Off | 0 |
| N/A 27C P8 26W / 149W | 0MiB / 11441MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
| 1 Tesla K80 On | 00000000:07:00.0 Off | 0 |
| N/A 27C P8 29W / 149W | 0MiB / 11441MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
| 2 Tesla K80 On | 00000000:86:00.0 Off | 0 |
| N/A 29C P8 25W / 149W | 0MiB / 11441MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
| 3 Tesla K80 On | 00000000:87:00.0 Off | 0 |
| N/A 27C P8 30W / 149W | 0MiB / 11441MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| No running processes found |
+-----------------------------------------------------------------------------+
On Tue, Sep 29, 2020 at 7:45 AM Ye Luo <xw111luoye at gmail.com> wrote:
>
> Could you provide
> `which nvcc`
> `nvcc --version`
> `ldd /p/project/cjzam11/kitayama1/opt/clang/current/lib/libomptarget.rtl.cuda.so`
> and nvidia-smi output?
> Ye
>
> ===================
> Ye Luo, Ph.D.
> Computational Science Division & Leadership Computing Facility
> Argonne National Laboratory
>
>
> On Mon, Sep 28, 2020 at 5:11 PM Itaru Kitayama via Openmp-dev <openmp-dev at lists.llvm.org> wrote:
>>
>> This happens an unpredictable way even though I launch the app the same way.
>>
>> On Mon, Sep 28, 2020 at 7:34 AM Itaru Kitayama <itaru.kitayama at gmail.com> wrote:
>> >
>> > No, I take that back. Here's the backtrace:
>> >
>> > (gdb) where
>> > #0 0x00002aaaaaacd6c2 in clock_gettime ()
>> > #1 0x00002aaaabd167fd in clock_gettime () from /usr/lib64/libc.so.6
>> > #2 0x00002aaaac97837e in ?? ()
>> > from /usr/local/software/jureca/Stages/2019a/software/nvidia/driver/lib64/libcuda.so.1
>> > #3 0x00002aaaaca3c4f7 in ?? ()
>> > from /usr/local/software/jureca/Stages/2019a/software/nvidia/driver/lib64/libcuda.so.1
>> > #4 0x00002aaaac87240a in ?? ()
>> > from /usr/local/software/jureca/Stages/2019a/software/nvidia/driver/lib64/libcuda.so.1
>> > #5 0x00002aaaac91bfbe in ?? ()
>> > from /usr/local/software/jureca/Stages/2019a/software/nvidia/driver/lib64/libcuda.so.1
>> > #6 0x00002aaaac91e0d7 in ?? ()
>> > from /usr/local/software/jureca/Stages/2019a/software/nvidia/driver/lib64/libcuda.so.1
>> > #7 0x00002aaaac848719 in ?? ()
>> > from /usr/local/software/jureca/Stages/2019a/software/nvidia/driver/lib64/libcuda.so.1
>> > #8 0x00002aaaac9ba15e in cuDevicePrimaryCtxRetain ()
>> > from /usr/local/software/jureca/Stages/2019a/software/nvidia/driver/lib64/libcuda.so.1
>> > #9 0x00002aaaac514757 in __tgt_rtl_init_device ()
>> > from /p/project/cjzam11/kitayama1/opt/clang/current/lib/libomptarget.rtl.cuda.so
>> > #10 0x00002aaaab9b88bb in DeviceTy::init() ()
>> > from /p/project/cjzam11/kitayama1/opt/clang/current/lib/libomptarget.so
>> > #11 0x00002aaaac279348 in std::__1::__call_once(unsigned long
>> > volatile&, void*, void (*)(void*)) ()
>> > from /p/project/cjzam11/kitayama1/opt/clang/current/lib/libc++.so.1
>> > #12 0x00002aaaab9b8d88 in device_is_ready(int) ()
>> > from /p/project/cjzam11/kitayama1/opt/clang/current/lib/libomptarget.so
>> > #13 0x00002aaaab9c5296 in CheckDeviceAndCtors(long) ()
>> > from /p/project/cjzam11/kitayama1/opt/clang/current/lib/libomptarget.so
>> > #14 0x00002aaaab9bbead in __tgt_target_data_begin_mapper ()
>> > from /p/project/cjzam11/kitayama1/opt/clang/current/lib/libomptarget.so
>> > #15 0x00002aaaaabfaa58 in nest::SimulationManager::initialize() (this=0x5d3290)
>> > at /p/project/cjzam11/kitayama1/projects/nest-simulator/nestkernel/simulation_manager.cpp:76
>> > #16 0x00002aaaaabf2c69 in nest::KernelManager::initialize() (this=0x5d3190)
>> > at /p/project/cjzam11/kitayama1/projects/nest-simulator/nestkernel/kernel_manager.cpp:88
>> > #17 0x0000000000405769 in neststartup(int*, char***, SLIInterpreter&) (
>> > argc=argc at entry=0x7fffffff0a84, argv=argv at entry=0x7fffffff0a88, engine=...)
>> > at /p/project/cjzam11/kitayama1/projects/nest-simulator/nest/neststartup.cpp:87
>> > #18 0x0000000000405650 in main (argc=<optimized out>, argv=<optimized out>)
>> > at /p/project/cjzam11/kitayama1/projects/nest-simulator/nest/main.cpp:42
>> >
>> > On Mon, Sep 28, 2020 at 5:22 AM Itaru Kitayama <itaru.kitayama at gmail.com> wrote:
>> > >
>> > > I obtained a desired result (a crash) without a Spack environment.
>> > >
>> > > On Sun, Sep 27, 2020 at 1:13 PM Itaru Kitayama <itaru.kitayama at gmail.com> wrote:
>> > > >
>> > > > (gdb) where
>> > > > #0 0x00002aaaaaacd6c2 in clock_gettime ()
>> > > > #1 0x00002aaaabd347fd in clock_gettime () from /usr/lib64/libc.so.6
>> > > > #2 0x00002aaaac98737e in ?? ()
>> > > > from /usr/local/software/jureca/Stages/2019a/software/nvidia/driver/lib64/libcuda.so.1
>> > > > #3 0x00002aaaaca4b4f7 in ?? ()
>> > > > from /usr/local/software/jureca/Stages/2019a/software/nvidia/driver/lib64/libcuda.so.1
>> > > > #4 0x00002aaaac88140a in ?? ()
>> > > > from /usr/local/software/jureca/Stages/2019a/software/nvidia/driver/lib64/libcuda.so.1
>> > > > #5 0x00002aaaac92afbe in ?? ()
>> > > > from /usr/local/software/jureca/Stages/2019a/software/nvidia/driver/lib64/libcuda.so.1
>> > > > #6 0x00002aaaac92d0d7 in ?? ()
>> > > > from /usr/local/software/jureca/Stages/2019a/software/nvidia/driver/lib64/libcuda.so.1
>> > > > #7 0x00002aaaac857719 in ?? ()
>> > > > from /usr/local/software/jureca/Stages/2019a/software/nvidia/driver/lib64/libcuda.so.1
>> > > > #8 0x00002aaaac9c915e in cuDevicePrimaryCtxRetain ()
>> > > > from /usr/local/software/jureca/Stages/2019a/software/nvidia/driver/lib64/libcuda.so.1
>> > > > #9 0x00002aaaac523757 in __tgt_rtl_init_device ()
>> > > > from /p/project/cjzam11/kitayama1/opt/clang/current/lib/libomptarget.rtl.cuda.so
>> > > > #10 0x00002aaaaaca28bb in DeviceTy::init() ()
>> > > > from /p/project/cjzam11/kitayama1/opt/clang/current/lib/libomptarget.so
>> > > > #11 0x00002aaaac297348 in std::__1::__call_once(unsigned long
>> > > > volatile&, void*, void (*)(void*)) ()
>> > > > from /p/project/cjzam11/kitayama1/opt/clang/current/lib/libc++.so.1
>> > > > #12 0x00002aaaaaca2d88 in device_is_ready(int) ()
>> > > > from /p/project/cjzam11/kitayama1/opt/clang/current/lib/libomptarget.so
>> > > > #13 0x00002aaaaacaf296 in CheckDeviceAndCtors(long) ()
>> > > > from /p/project/cjzam11/kitayama1/opt/clang/current/lib/libomptarget.so
>> > > > #14 0x00002aaaaaca5ead in __tgt_target_data_begin_mapper ()
>> > > > from /p/project/cjzam11/kitayama1/opt/clang/current/lib/libomptarget.so
>> > > > #15 0x00002aaaab3a4958 in nest::SimulationManager::initialize() (this=0x5d3480)
>> > > > at /p/project/cjzam11/kitayama1/projects/nest-simulator/nestkernel/simulation_manager.cpp:76
>> > > > #16 0x00002aaaab39cbb9 in nest::KernelManager::initialize() (this=0x5d3380)
>> > > > at /p/project/cjzam11/kitayama1/projects/nest-simulator/nestkernel/kernel_manager.cpp:88
>> > > > #17 0x0000000000405769 in neststartup(int*, char***, SLIInterpreter&) (
>> > > > argc=argc at entry=0x7ffffffee554, argv=argv at entry=0x7ffffffee558, engine=...)
>> > > > at /p/project/cjzam11/kitayama1/projects/nest-simulator/nest/neststartup.cpp:87
>> > > > #18 0x0000000000405650 in main (argc=<optimized out>, argv=<optimized out>)
>> > > > at /p/project/cjzam11/kitayama1/projects/nest-simulator/nest/main.cpp:42
>> > > >
>> > > > On Sun, Sep 27, 2020 at 12:55 PM Itaru Kitayama
>> > > > <itaru.kitayama at gmail.com> wrote:
>> > > > >
>> > > > > and when this happens, no signal can get caught immediately by the system.
>> > > > >
>> > > > > On Sun, Sep 27, 2020 at 12:52 PM Itaru Kitayama
>> > > > > <itaru.kitayama at gmail.com> wrote:
>> > > > > >
>> > > > > > I see often when executing my work-in-the-progress offloading app on X86
>> > > > > > with an older NVIDIA GPU (sm_35). Can someone enlighten me on this so I
>> > > > > > can solve it quickly?
>> > > > > >
>> > > > > > Thanks,
>> _______________________________________________
>> Openmp-dev mailing list
>> Openmp-dev at lists.llvm.org
>> https://lists.llvm.org/cgi-bin/mailman/listinfo/openmp-dev
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