我习惯于直接从GCC编译的代码中使用PGI OpenACC运行时API。
openacc.h
include/openacc.h
)另一个似乎与GCC兼容(
etc/include_acc/openacc.h
). 将第二个标头与GCC一起使用是安全的吗?
#include <openacc.h>
#include <cuda_runtime_api.h>
#include <stdio.h>
int main()
{
acc_init( acc_device_nvidia );
int ndev = acc_get_num_devices( acc_device_nvidia );
printf("Num OpenACC devices: %d\n", ndev);
cudaGetDeviceCount(&ndev);
printf("Num CUDA devices: %d\n", ndev);
return 0;
}
使用PGI:
pgcc -acc -ta=tesla,cuda8.0 -Mcuda ./test.c -o oacc_test.pgi
使用GCC+PGI OpenACC:
gcc -isystem /usr/local/cuda-8.0/include -isystem /usr/local/pgi/linux86-64/17.4/etc/include_acc -o oacc_test.both test.c -L/usr/local/cuda-8.0/lib64 -Wl,-rpath,/usr/local/cuda-8.0/lib64 -lcudart -lcuda -L/usr/local/pgi/linux86-64/17.4/lib -Wl,-rpath,/usr/local/pgi/linux86-64/17.4/lib -laccapi -laccg -laccnc -laccn -laccg2 -ldl -lpgc -lm
gcc -fopenacc -isystem /usr/local/cuda-8.0/include -o oacc_test.gnu test.c -L/usr/local/cuda-8.0/lib64 -Wl,-rpath,/usr/local/cuda-8.0/lib64 -lcudart -lcuda
并执行:
$ ./oacc_test.pgi
Num OpenACC devices: 4
Num CUDA devices: 4
$ ./oacc_test.both
Num OpenACC devices: 4
Num CUDA devices: 4
$ ./oacc_test.gnu
libgomp: device type nvidia not supported
更多信息:
$ ldd oacc_test.pgi
linux-vdso.so.1 (0x00007ffd843f8000)
libaccapi.so => /usr/local/pgi/linux86-64/17.4/lib/libaccapi.so (0x00007fa5a2b9f000)
libaccg.so => /usr/local/pgi/linux86-64/17.4/lib/libaccg.so (0x00007fa5a2981000)
libaccnc.so => /usr/local/pgi/linux86-64/17.4/lib/libaccnc.so (0x00007fa5a2777000)
libaccn.so => /usr/local/pgi/linux86-64/17.4/lib/libaccn.so (0x00007fa5a2552000)
libaccg2.so => /usr/local/pgi/linux86-64/17.4/lib/libaccg2.so (0x00007fa5a233c000)
libcudapgi.so => /usr/local/pgi/linux86-64/17.4/lib/libcudapgi.so (0x00007fa5a213b000)
libcudart.so.8.0 => /usr/local/cuda/lib64/libcudart.so.8.0 (0x00007fa5a1ed5000)
libstdc++.so.6 => /usr/lib/x86_64-linux-gnu/libstdc++.so.6 (0x00007fa5a1b49000)
libdl.so.2 => /lib/x86_64-linux-gnu/libdl.so.2 (0x00007fa5a1945000)
libcudadevice.so => /usr/local/pgi/linux86-64/17.4/lib/libcudadevice.so (0x00007fa5a1731000)
libpgmp.so => /usr/local/pgi/linux86-64/17.4/lib/libpgmp.so (0x00007fa5a14af000)
libnuma.so => /usr/local/pgi/linux86-64/17.4/lib/libnuma.so (0x00007fa5a12ae000)
libpthread.so.0 => /lib/x86_64-linux-gnu/libpthread.so.0 (0x00007fa5a1091000)
libpgc.so => /usr/local/pgi/linux86-64/17.4/lib/libpgc.so (0x00007fa5a0dae000)
libm.so.6 => /lib/x86_64-linux-gnu/libm.so.6 (0x00007fa5a0aaa000)
libc.so.6 => /lib/x86_64-linux-gnu/libc.so.6 (0x00007fa5a070b000)
libgcc_s.so.1 => /lib/x86_64-linux-gnu/libgcc_s.so.1 (0x00007fa5a04f2000)
/lib64/ld-linux-x86-64.so.2 (0x000055767be3b000)
librt.so.1 => /lib/x86_64-linux-gnu/librt.so.1 (0x00007fa5a02ea000)
$ ldd oacc_test.both
linux-vdso.so.1 (0x00007ffe55753000)
libcudart.so.8.0 => /usr/local/cuda/lib64/libcudart.so.8.0 (0x00007f7ddfe3c000)
libcuda.so.1 => /usr/lib/x86_64-linux-gnu/libcuda.so.1 (0x00007f7ddf3d8000)
libaccapi.so => /usr/local/pgi/linux86-64/17.4/lib/libaccapi.so (0x00007f7ddf1b8000)
libaccg.so => /usr/local/pgi/linux86-64/17.4/lib/libaccg.so (0x00007f7ddef9a000)
libaccnc.so => /usr/local/pgi/linux86-64/17.4/lib/libaccnc.so (0x00007f7dded90000)
libaccn.so => /usr/local/pgi/linux86-64/17.4/lib/libaccn.so (0x00007f7ddeb69000)
libaccg2.so => /usr/local/pgi/linux86-64/17.4/lib/libaccg2.so (0x00007f7dde955000)
libdl.so.2 => /lib/x86_64-linux-gnu/libdl.so.2 (0x00007f7dde751000)
libpgc.so => /usr/local/pgi/linux86-64/17.4/lib/libpgc.so (0x00007f7dde46e000)
libm.so.6 => /lib/x86_64-linux-gnu/libm.so.6 (0x00007f7dde16a000)
libc.so.6 => /lib/x86_64-linux-gnu/libc.so.6 (0x00007f7ddddcb000)
libpthread.so.0 => /lib/x86_64-linux-gnu/libpthread.so.0 (0x00007f7dddbac000)
librt.so.1 => /lib/x86_64-linux-gnu/librt.so.1 (0x00007f7ddd9a4000)
libnvidia-fatbinaryloader.so.378.13 => /usr/lib/x86_64-linux-gnu/libnvidia-fatbinaryloader.so.378.13 (0x00007f7ddd753000)
/lib64/ld-linux-x86-64.so.2 (0x00005593f06f5000)
$ ldd oacc_test.gnu
linux-vdso.so.1 (0x00007ffd967d7000)
libcudart.so.8.0 => /usr/local/cuda/lib64/libcudart.so.8.0 (0x00007f9002679000)
libcuda.so.1 => /usr/lib/x86_64-linux-gnu/libcuda.so.1 (0x00007f9001c15000)
libgomp.so.1 => /usr/lib/x86_64-linux-gnu/libgomp.so.1 (0x00007f90019e8000)
libpthread.so.0 => /lib/x86_64-linux-gnu/libpthread.so.0 (0x00007f90017cb000)
libc.so.6 => /lib/x86_64-linux-gnu/libc.so.6 (0x00007f900142c000)
libdl.so.2 => /lib/x86_64-linux-gnu/libdl.so.2 (0x00007f9001226000)
librt.so.1 => /lib/x86_64-linux-gnu/librt.so.1 (0x00007f900101e000)
libm.so.6 => /lib/x86_64-linux-gnu/libm.so.6 (0x00007f9000d1a000)
libnvidia-fatbinaryloader.so.378.13 => /usr/lib/x86_64-linux-gnu/libnvidia-fatbinaryloader.so.378.13 (0x00007f9000ac9000)
/lib64/ld-linux-x86-64.so.2 (0x0000563eee684000)
这样使用PGI OpenACC运行时API安全吗?
此外,Nvidia提供的CUDA运行时(通常在
/usr/local/cuda
)和由PGI提供的(在我的案例中
/usr/local/pgi/linux86-64/2017/cuda
)?
pgcc
-ta=cuda8.0
如果它使用
. 有什么特殊原因吗?
