我有以下琐碎的推力：：聚集程序（直接从推力：：收集文档中获取）
#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;
}
我用编译这个
/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，我尝试在第一次将这个简单的程序附加到cuda-gdb:之后运行它
>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segfault。我还为运行了相应的示例
- 推力：：gather_if
- 推力：：散射
- 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）有效（即，不要崩溃cuda-gdb）。
这一定是最新版本（5.5）的thrust和/或cuda-gdb的问题，因为我已经运行了相同的使用5.0版进行测试，没有任何问题。
以下是关于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)
如目录所示，问题是Thrust库在调试时无法正确运行。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，它就会崩溃——这使我无法调试我的内核。
由于我不关心Thrust调用本身的调试（只关心我的内核），所以我的解决方案包括将我所有的Thrust呼叫放在另一个文件ThrotWrappers.cu中，并在不进行调试的情况下编译该文件。然后，在我的主.cu文件中，我将用相关的包装器函数（在thrtWrappers中定义）替换对推力的调用。例如，
thrust::reduce(...)
成为
thrust::reduce_wrapper(...)
然后，我将两个生成的对象文件链接在一起。