我正在使用 IBM XL C/C++ 编译器编译一些 OpenMP 4.5 代码，目的是将其部分工作卸载到 GPU，如下所示：
xlc++ mycode.cpp -qsmp=omp -qreport -qoffload -std=c++11 -Wall
编译似乎成功了，只给我以下消息：
mycode.cpp:
"mycode.cpp", line 284: 1586-358 (I) Loop was parallelized.
"mycode.cpp", line 293: 1586-358 (I) Loop was parallelized.
"mycode.cpp", line 309: 1586-358 (I) Loop was parallelized.
"mycode.cpp", line 324: 1586-358 (I) Loop was parallelized.
"mycode.cpp", line 126: 1586-674 (I) Remark: Simd or nested parallel directive requires OpenMP runtime
"" 1586-671 (I) GPU OpenMP Runtime is required for offloaded kernel '__xl__Z9MyCodeiii_l123_h44039046689_OL_1'
但是，当我运行代码时，我收到以下令人不快的消息：
1587-169 没有可用的有效目标设备。
使用nvidia-smi，我已经验证目标设备实际上是可用的：
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 384.59 Driver Version: 384.59 |
|-------------------------------+----------------------+----------------------+
| 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 P100-SXM2... Off | 00000002:01:00.0 Off | 0 |
| N/A 33C P0 29W / 300W | 10MiB / 16276MiB | 0% E. Process |
+-------------------------------+----------------------+----------------------+
| 1 Tesla P100-SXM2... Off | 00000003:01:00.0 Off | 0 |
| N/A 29C P0 30W / 300W | 10MiB / 16276MiB | 0% E. Process |
+-------------------------------+----------------------+----------------------+
| 2 Tesla P100-SXM2... Off | 00000006:01:00.0 Off | 0 |
| N/A 31C P0 28W / 300W | 10MiB / 16276MiB | 0% E. Process |
+-------------------------------+----------------------+----------------------+
| 3 Tesla P100-SXM2... Off | 00000007:01:00.0 Off | 0 |
| N/A 27C P0 29W / 300W | 10MiB / 16276MiB | 0% E. Process |
+-------------------------------+----------------------+----------------------+
我的想法是 XL 以某种方式针对错误的加速器，但我找不到设置它的选项。
如何让我的代码识别和利用可用的 GPU？