I am doing GPGPU development on Arch Linux with the cuda-sdk and
cuda-toolkit packages. My attempts to run cuda-gdb as a normal user on a
simple program results in:
$ cuda-gdb ./driver
NVIDIA (R) CUDA Debugger
4.2 release
Portions Copyright (C) 2007-2012 NVIDIA Corporation
GNU gdb (GDB) 7.2
Copyright (C) 2010 Free Software Foundation, Inc.
License GPLv3+: GNU GPL version 3 or later <http://gnu.org/licenses/gpl.html>
This is free software: you are free to change and redistribute it.
There is NO WARRANTY, to the extent permitted by law. Type "show copying"
and "show warranty" for details.
This GDB was configured as "x86_64-unknown-linux-gnu".
For bug reporting instructions, please see:
<http://www.gnu.org/software/gdb/bugs/>...
Reading symbols from /home/nwh/Dropbox/projects/G4CU/driver...done.
(cuda-gdb) run
Starting program: /home/nwh/Dropbox/projects/G4CU/driver
warning: Could not load shared library symbols for linux-vdso.so.1.
Do you need "set solib-search-path" or "set sysroot"?
[Thread debugging using libthread_db enabled]
fatal: The CUDA driver initialization failed. (error code = 1)
If I run cuda-gdb as root, it behaves normally:
# cuda-gdb ./driver
NVIDIA (R) CUDA Debugger
4.2 release
Portions Copyright (C) 2007-2012 NVIDIA Corporation
GNU gdb (GDB) 7.2
Copyright (C) 2010 Free Software Foundation, Inc.
License GPLv3+: GNU GPL version 3 or later <http://gnu.org/licenses/gpl.html>
This is free software: you are free to change and redistribute it.
There is NO WARRANTY, to the extent permitted by law. Type "show copying"
and "show warranty" for details.
This GDB was configured as "x86_64-unknown-linux-gnu".
For bug reporting instructions, please see:
<http://www.gnu.org/software/gdb/bugs/>...
Reading symbols from /home/nwh/Dropbox/work/2012-09-06-cuda_gdb/driver...done.
(cuda-gdb) run
Starting program: /home/nwh/Dropbox/work/2012-09-06-cuda_gdb/driver
warning: Could not load shared library symbols for linux-vdso.so.1.
Do you need "set solib-search-path" or "set sysroot"?
[Thread debugging using libthread_db enabled]
[New Thread 0x7ffff5ba8700 (LWP 11386)]
[Context Create of context 0x6e8a30 on Device 0]
[Launch of CUDA Kernel 0 (thrust::detail::backend::cuda::detail::launch_closure_by_value<thrust::detail::backend::cuda::for_each_n_closure<thrust::device_ptr<unsigned long long>, unsigned int, thrust::detail::device_generate_functor<thrust::detail::fill_functor<unsigned long long> > > ><<<(1,1,1),(704,1,1)>>>) on Device 0]
[Launch of CUDA Kernel 1 (set_vector<<<(1,1,1),(10,1,1)>>>) on Device 0]
vd[0] = 0
vd[1] = 1
vd[2] = 2
vd[3] = 3
vd[4] = 4
vd[5] = 5
vd[6] = 6
vd[7] = 7
vd[8] = 8
vd[9] = 9
[Thread 0x7ffff5ba8700 (LWP 11386) exited]
Program exited normally.
[Termination of CUDA Kernel 1 (set_vector<<<(1,1,1),(10,1,1)>>>) on Device 0]
[Termination of CUDA Kernel 0 (thrust::detail::backend::cuda::detail::launch_closure_by_value<thrust::detail::backend::cuda::for_each_n_closure<thrust::device_ptr<unsigned long long>, unsigned int, thrust::detail::device_generate_functor<thrust::detail::fill_functor<unsigned long long> > > ><<<(1,1,1),(704,1,1)>>>) on Device 0]
The test program driver.cu is:
// needed for nvcc with gcc 4.7 and iostream
#undef _GLIBCXX_ATOMIC_BUILTINS
#undef _GLIBCXX_USE_INT128
#include <iostream>
#include <thrust/device_vector.h>
#include <thrust/host_vector.h>
__global__
void set_vector(int *a)
{
// get thread id
int id = threadIdx.x + blockIdx.x * blockDim.x;
a[id] = id;
__syncthreads();
}
int main(void)
{
// settings
int len = 10; int trd = 10;
// allocate vectors
thrust::device_vector<int> vd(len);
// get the raw pointer
int *a = thrust::raw_pointer_cast(vd.data());
// call the kernel
set_vector<<<1,trd>>>(a);
// print vector
for (int i=0; i<len; i++)
std::cout << "vd[" << i << "] = " << vd[i] << std::endl;
return 0;
}
driver.c is compiled with the command:
$ nvcc -g -G -gencode arch=compute_20,code=sm_20 driver.cu -o driver
How can I get cuda-gdb to run with out root permissions?
Some more information: the output from nvidia-smi is:
$ nvidia-smi
Mon Sep 10 07:16:32 2012
+------------------------------------------------------+
| NVIDIA-SMI 4.304.43 Driver Version: 304.43 |
|-------------------------------+----------------------+----------------------+
| GPU Name | Bus-Id Disp. | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 Quadro FX 1700 | 0000:01:00.0 N/A | N/A |
| 60% 52C N/A N/A / N/A | 4% 20MB / 511MB | N/A Default |
+-------------------------------+----------------------+----------------------+
| 1 Tesla C2070 | 0000:02:00.0 Off | 0 |
| 30% 82C P8 N/A / N/A | 0% 11MB / 5375MB | 0% Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Compute processes: GPU Memory |
| GPU PID Process name Usage |
|=============================================================================|
| 0 Not Supported |
+-----------------------------------------------------------------------------+
The display is connected to the Quadro and I run CUDA applications on the Tesla.
This problem has been fixed with the latest Nvidia driver (304.60) and latest version of cuda (5.0.35).
cuda-gdbdoes not require root permissions to run.