Question

我有以下琐碎的推力::聚集程序（直接取自推力::聚集文档）

#include <thrust/gather.h>
#include <thrust/device_vector.h>
int main(void)
{

    // mark even indices with a 1; odd indices with a 0
    int values[10] = {1, 0, 1, 0, 1, 0, 1, 0, 1, 0};
    thrust::device_vector<int> d_values(values, values + 10);
    // gather all even indices into the first half of the range
    // and odd indices to the last half of the range
    int map[10] = {0, 2, 4, 6, 8, 1, 3, 5, 7, 9};
    thrust::device_vector<int> d_map(map, map + 10);
    thrust::device_vector<int> d_output(10);
    thrust::gather(d_map.begin(), d_map.end(),
            d_values.begin(),
            d_output.begin());
    // d_output is now {1, 1, 1, 1, 1, 0, 0, 0, 0, 0}
    return 0;
}

我用

编译它

/usr/local/cuda/bin/nvcc -ccbin g++ -I../../common/inc  -m64 -g -G -gencode arch=compute_30,code=sm_30 -o thrustGather.o -c thrustGather.cu

/usr/local/cuda/bin/nvcc -ccbin g++ -m64 -g -G -o thrustGather thrustGather.o

接下来我尝试在首次将它附加到cuda-gdb后运行这个简单的程序：

>cuda-gdb ./thrustGather
NVIDIA (R) CUDA Debugger
5.5 release
Portions Copyright (C) 2007-2013 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 /usr/local/cuda-5.5/samples/0_Simple/thrustGatherRjm/thrustGather...done.
(cuda-gdb) run
Starting program: /usr/local/cuda-5.5/samples/0_Simple/thrustGatherRjm/thrustGather 
[Thread debugging using libthread_db enabled]
[New Thread 0x7ffff7272700 (LWP 50318)]
[Context Create of context 0x78d790 on Device 0]
[Launch of CUDA Kernel 0 (memset32_aligned1D<<<(1,1,1),(128,1,1)>>>) on Device 0]
[Launch of CUDA Kernel 1 (memset32_aligned1D<<<(1,1,1),(128,1,1)>>>) on Device 0]
[Launch of CUDA Kernel 2 (memset32_aligned1D<<<(1,1,1),(128,1,1)>>>) on Device 0]
[Launch of CUDA Kernel 3 (memset32_aligned1D<<<(1,1,1),(128,1,1)>>>) on Device 0]
[Launch of CUDA Kernel 4 (memset32_aligned1D<<<(1,1,1),(128,1,1)>>>) on Device 0]
[Launch of CUDA Kernel 5 (memset32_aligned1D<<<(1,1,1),(128,1,1)>>>) on Device 0]
[Launch of CUDA Kernel 6 (memset32_aligned1D<<<(1,1,1),(128,1,1)>>>) on Device 0]
[Launch of CUDA Kernel 7 (memset32_aligned1D<<<(1,1,1),(128,1,1)>>>) on Device 0]
Error: received unexpected signal: Segmentation fault
BACKTRACE (41 frames):
cuda-gdb[0x4394e1]
/lib64/libc.so.6[0x3d96635a90]
cuda-gdb[0x5b038b]
cuda-gdb[0x55aae8]
cuda-gdb[0x55ed65]
cuda-gdb[0x55fc51]
cuda-gdb[0x55ec22]
cuda-gdb[0x5609fe]
cuda-gdb[0x5607bd]
cuda-gdb[0x560c36]
cuda-gdb[0x4f7e44]
cuda-gdb[0x4f8038]
cuda-gdb[0x4fde3c]
cuda-gdb[0x5c9f66]
cuda-gdb[0x429c3c]
cuda-gdb[0x5ca4e5]
cuda-gdb[0x5cab5e]
cuda-gdb[0x4296e6]
cuda-gdb[0x479366]
cuda-gdb[0x53addd]
cuda-gdb[0x5129c0]
cuda-gdb[0x5134fd]
cuda-gdb[0x51369d]
cuda-gdb[0x5091e7]
cuda-gdb[0x40f65d]
cuda-gdb[0x522f54]
cuda-gdb[0x523a20]
cuda-gdb[0x5ff9aa]
cuda-gdb[0x522fb9]
cuda-gdb[0x521b81]
cuda-gdb[0x522b1e]
cuda-gdb[0x51d0cb]
cuda-gdb[0x4ae816]
cuda-gdb[0x406429]
cuda-gdb[0x51d0cb]
cuda-gdb[0x406b76]
cuda-gdb[0x51d0cb]
cuda-gdb[0x406204]
cuda-gdb[0x4061d6]
/lib64/libc.so.6(__libc_start_main+0xf5)[0x3d96621b75]
cuda-gdb[0x4060e9]
[Termination of CUDA Kernel 7 (memset32_aligned1D<<<(1,1,1),(128,1,1)>>>) on Device 0]
[Termination of CUDA Kernel 6 (memset32_aligned1D<<<(1,1,1),(128,1,1)>>>) on Device 0]
[Termination of CUDA Kernel 5 (memset32_aligned1D<<<(1,1,1),(128,1,1)>>>) on Device 0]
[Termination of CUDA Kernel 4 (memset32_aligned1D<<<(1,1,1),(128,1,1)>>>) on Device 0]
[Termination of CUDA Kernel 3 (memset32_aligned1D<<<(1,1,1),(128,1,1)>>>) on Device 0]
[Termination of CUDA Kernel 2 (memset32_aligned1D<<<(1,1,1),(128,1,1)>>>) on Device 0]
[Termination of CUDA Kernel 1 (memset32_aligned1D<<<(1,1,1),(128,1,1)>>>) on Device 0]
[Termination of CUDA Kernel 0 (memset32_aligned1D<<<(1,1,1),(128,1,1)>>>) on Device 0]

请注意cuda-gdb本身就是段错误。我还为

运行了相关的示例

推力:: gather_if
推力::分散
推力::计数
推力:: inclusive_scan
推力:: sort_by_key
推力:: reduce_by_key

其中，只有最后三个（inclusive_scan，sort_by_key，reduce_by_key）工作（即不要崩溃cuda-gdb）。

对于推力和/或cuda-gdb的最新版本（5.5），这一定是个问题，因为我运行了同样的问题 5.0版本的测试没有任何问题。

以下是有关我的设置的一些信息：

> cat /proc/driver/nvidia/version 
NVRM version: NVIDIA UNIX x86_64 Kernel Module  319.21  Sat May 11 23:51:00 PDT 2013
GCC version:  gcc version 4.8.1 20130603 (Red Hat 4.8.1-1) (GCC) 

> cat /proc/version 
Linux version 3.9.9-302.fc19.x86_64 (mockbuild@bkernel01.phx2.fedoraproject.org) (gcc version 4.8.1 20130603 (Red Hat 4.8.1-1) (GCC) ) #1 SMP Sat Jul 6 13:41:07 UTC 2013

> gcc --version
gcc (GCC) 4.8.1 20130603 (Red Hat 4.8.1-1)
Copyright (C) 2013 Free Software Foundation, Inc.
This is free software; see the source for copying conditions.  There is NO
warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.

> lspci | grep NVIDIA
05:00.0 3D controller: NVIDIA Corporation GK104 [GeForce GTX 690] (rev a1)
05:00.1 Audio device: NVIDIA Corporation GK104 HDMI Audio Controller (rev a1)
06:00.0 VGA compatible controller: NVIDIA Corporation GK104 [GeForce GTX 690] (rev a1)
06:00.1 Audio device: NVIDIA Corporation GK104 HDMI Audio Controller (rev a1)

Answer 1

正如talonmies指出的那样，问题是当使用调试构建时，Thrust库无法正常运行。在我的应用程序中，我有一个相当复杂的.cu文件，其中包含我自己的几个CUDA内核，以及多个Thrust调用。如果我用-g -G调试标志编译这个文件并在cuda-gdb中运行它会崩溃 - 这使我无法调试我的内核。

由于我不关心调试Thrust调用自己（只有我的内核），我的解决方案包括将所有推力调用放在另一个文件thrustWrappers.cu中并编译此文件而不进行调试。然后在我的主.cu文件中，我将用相关的包装函数（在thrustWrappers中定义）替换对推力的调用。例如，

thrust::reduce(...)

成了

thrust::reduce_wrapper(...)

然后我将两个结果对象文件链接在一起。

cuda-gdb因推力崩溃（CUDA版本5.5）

1 个答案: