Build against CUDA 8.0 / Support GPU Only Builds?

[dakami]

./getdevlibs.sh doesn't find any 8.0 libraries, and the icc dependency makes it impossible to rebuild locally. Might be nice to have a GPU only build path, but would definitely be nice if I could build against CUDA 8 / these Titans.

[svanschalkwyk]

Any development on this?

[DanielTakeshi]

@svanschalkwyk @dakami I've successfully used CUDA 8.0 on my machine (with Titan GPU with Pascal). Did you use the maven update? (It's on the Wiki page right now on this GitHub).

[svanschalkwyk]

It is only seeing one of the two CUDA devices. I have export CUDA_VISIBLE_DEVICES=1,2

[svanschalkwyk]

I downloaded the pre-built binaries and they also show only one device.
"1 CUDA device found, CUDA version 7.0"

Wed Feb 8 12:43:07 2017
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 375.26 Driver Version: 375.26 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 GeForce GTX 960 Off | 0000:04:00.0 On | N/A |
| 0% 25C P8 7W / 160W | 87MiB / 4032MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
| 1 GeForce GTX 760 Off | 0000:83:00.0 N/A | N/A |
| 42% 32C P8 N/A / N/A | 32MiB / 4036MiB | N/A Default |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| 0 2340 G /usr/lib/xorg/Xorg 66MiB |
| 0 2861 G cinnamon 19MiB |
| 1 Not Supported |
+-----------------------------------------------------------------------------+

[svanschalkwyk]

[SOLVED]
CUDA_VISIBLE_DEVICES have to follow the numbering that nvidia-smi shows, i.e. 0 for GPU 0, 1 for GPU 1.
Suggestions (somewhere else) that the GPU array is 1-based are incorrect.