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Clang currently doesn't support CUDA separate compilation and thus extern __device__ functions and variables cannot be used. Could someone give me any pointers where to look or what has to be done to support this? If at all possible, I'd like to see what's missing and possibly try to tackle it. -------------- next part -------------- An HTML attachment was scrubbed... URL:

...i Arpith, That is exactly what it is :). My bad, I thought I copied over the libraries to where LIBRARY_PATH pointing but apparently it was copied to a wrong destination. Thanks a lot. On Wed, Jan 20, 2016 at 4:51 AM, Arpith C Jacob <acjacob at us.ibm.com> wrote: > Hi Ahmed, > > nvlink is unable to find the GPU OMP runtime library in its path. Does > LIBRARY_PATH point to the right location? You could try passing the "-v" > option to clang to get more information. > > Regards, > Arpith > -------------- next part -------------- An HTML attachment was sc...

...dia,videodev % dmesg | grep nvidia [ 10.515333] nvidia: loading out-of-tree module taints kernel. [ 10.515339] nvidia: module license 'NVIDIA' taints kernel. [ 10.572111] nvidia: module verification failed: signature and/or required key missing - tainting kernel [ 10.630900] nvidia-nvlink: Nvlink Core is being initialized, major device number 239 [ 10.665785] nvidia-modeset: Loading NVIDIA Kernel Mode Setting Driver for UNIX platforms 390.30 Wed Jan 31 21:32:48 PST 2018 [ 10.672168] [drm] [nvidia-drm] [GPU ID 0x00000100] Loading driver [ 10.672171] [drm] Initialized nvidia-d...

...rds" is you set the flag on input and never get it on output, clear the flag in input and maybe get it on output. Compare with valid or write which don't work that way. > Also, a device like Nvidia's GPUs may have an alternate path for copying > one GPU's memory to another (nvlink) without going through system memory > so getting a device private struct page/PFN from hmm_range_fault() that isn't > "owned" by the faulting GPU is useful. > I agree that the current code isn't well tested or thought out for multiple devices > (rdma, NVMe drives, GPU...

On Mon, Mar 16, 2020 at 07:49:35PM +0100, Christoph Hellwig wrote: > On Mon, Mar 16, 2020 at 11:42:19AM -0700, Ralph Campbell wrote: > > > > On 3/16/20 10:52 AM, Christoph Hellwig wrote: > >> No driver has actually used properly wire up and support this feature. > >> There is various code related to it in nouveau, but as far as I can tell > >> it never

Hi, After upgrading my workstation to CentOS 7.5 (1804), I had to upgrade my kernel from vanilla to kernel-lt from ELRepo. My NVidia GeForce 210 would only work with the driver provided by NVidia, which in turn required a more recent kernel than 3.0.10. Anyway. Right now here's all the kernels that I have on my workstation: [root at alphamule:~] # rpm -qa | grep -i kernel

On Fri, Apr 3, 2020 at 1:59 PM Zeno Davatz <zdavatz at gmail.com> wrote: > > On Fri, Apr 3, 2020 at 7:23 PM Ilia Mirkin <imirkin at alum.mit.edu> wrote: > > > > On Fri, Apr 3, 2020 at 1:21 PM Zeno Davatz <zdavatz at gmail.com> wrote: > > > > > > On Fri, Apr 3, 2020 at 6:59 PM Ilia Mirkin <imirkin at alum.mit.edu> wrote: > > >

...miotrace: ioremap_*(0xf6000000, 0x1000) = ffffc90000044000 Feb 07 22:29:34 kernel: mmiotrace: Unmapping ffffc90000044000. Feb 07 22:29:34 kernel: mmiotrace: ioremap_*(0xf6000000, 0x1000) = ffffc90000046000 Feb 07 22:29:34 kernel: mmiotrace: Unmapping ffffc90000046000. Feb 07 22:29:34 kernel: nvidia-nvlink: Nvlink Core is being initialized, major device number 246 Feb 07 22:29:34 kernel: [drm] Initialized nvidia-drm 0.0.0 20150116 for 0000:01:00.0 on minor 1 Feb 07 22:29:34 kernel: NVRM: loading NVIDIA UNIX x86_64 Kernel Module 361.18 Sat Jan 9 21:27:18 PST 2016 Feb 07 22:29:34 kernel: mmiotrace:...

Hi Sergos and Samuel, Thanks for the links, I've got it mostly working now. I still have a problem with linking the code. It seems that the clang driver doesn't pass its library search path to nvlink when linking the generated cuda code to the target library, resulting in it not correctly finding libtarget-nvptx.a. Is there some flag or environment variable that I should set here? Manually providing nvlink with a -L flag pointing to the appropriate path seems to work for the linking step....

Please add a config override to skip this, since we'll invariably get it wrong for some setup, and should be able to provide users with workarounds while the issue is being worked out. On Mon, Jul 15, 2019 at 5:43 AM Mark Menzynski <mmenzyns at redhat.com> wrote: > > Currently, nouveau doesn't check if GPU is missing power. This > patch makes nouveau fail when this happens

...ant the device private page to be faulted back to system memory, it wants to get the device private struct page so it can update its page table to point to the memory already in the device. Also, a device like Nvidia's GPUs may have an alternate path for copying one GPU's memory to another (nvlink) without going through system memory so getting a device private struct page/PFN from hmm_range_fault() that isn't "owned" by the faulting GPU is useful. I agree that the current code isn't well tested or thought out for multiple devices (rdma, NVMe drives, GPUs, etc.) but it also...

...e1.cpp" > "/tmp/tmpxft_00007040_00000000-15_cuda_id_test.ii" #$ gcc -std=c++11 -c -x c++ "-I/opt/cuda-8.0/bin/..//include" -fpreprocessed -m64 -o "/tmp/tmpxft_00007040_00000000-16_cuda_id_test.o" "/tmp/tmpxft_00007040_00000000-15_cuda_id_test.ii" #$ nvlink --arch=sm_35 --register-link-binaries="/tmp/tmpxft_00007040_00000000-7_id_test_dlink.reg.c" -m64 "-L/opt/cuda-8.0/bin/..//lib64/stubs" "-L/opt/cuda-8.0/bin/..//lib64" -cpu-arch=X86_64 "/tmp/tmpxft_00007040_00000000-16_cuda_id_test.o" -lcudadevrt -o "...

Roel, You have to checkout and build llvm/clang as usual. For runtime support you'll have to build the libomptarget and make a plugin for your target. Samuel can help you some more. As for the OpenMP examples I can recommend you the http://openmp.org/mp-documents/OpenMP4.0.0.Examples.pdf look into the target constructs. Sergos On Mon, Jun 8, 2015 at 6:13 PM, Roel Jordans <r.jordans at