[Gate-users] Gate-users Digest, Vol 146, Issue 4

Wed Jul 4 13:19:29 CEST 2018

Dear Mery,

I think the error is coming from a discrepancy between supporting
architecture of CUDA library you are using and compile options of Gate.

Are you using CUDA 9.0 or later?

>From CUDA 9.0(latest) compile options for compute capability 2.0 are not
supported, therefore you need to remove all the options with 20 to compile
with it. Alternatively, you can also install a previous version of CUDA.

To change compile option of Gate for GPU, below link might help you.

https://github.com/OpenGATE/Gate/commit/3fe0800ead7f9a3baa820b18847597120615aaba

-Hoyeon

2018년 7월 4일 (수) 오후 7:18, <gate-users-request at lists.opengatecollaboration.org>님이
작성:

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>    1. Re: Install Gate based on GPU (Mery MB)
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> ----------------------------------------------------------------------
>
> Message: 1
> Date: Wed, 4 Jul 2018 11:51:01 +0430
> From: Mery MB <mery.mb.mph at gmail.com>
> To: gate-users at lists.opengatecollaboration.org
> Subject: Re: [Gate-users] Install Gate based on GPU
> Message-ID:
>         <CAKkaMoObYJh3TakRYdjv5ZutNyt3se89PouNHxkK_nL0i=
> vB6Q at mail.gmail.com>
> Content-Type: text/plain; charset="utf-8"
>
> Dear Gate User
>
> As I write before, I want to install Gate based on GPU (Graphic Processing
> Unit) to increase my speed on cluster for running my programs.
> I change my system to a system with NVIDEA Graphic card (Nvidia GeForce GTX
> 1080) and installed the Graphic card and CUDA tools
> Then I tried to install Gate 7.2 on my system but I get the below error. I
> wonder if someone have experience about this issue and can help me?
> Is there any special NVIDEA Graphic card for Gate?
>
> The error:
>
> [  6%] Linking CXX static library libMetaIO.a
> [  6%] Built target MetaIO
> [  6%] Building NVCC (Device) object
> CMakeFiles/Gate.dir/source/gpu/src/Gate_generated_GateGPUManager.cu.o
> *nvcc fatal   : Unsupported gpu architecture 'compute_20'*
> CMake Error at Gate_generated_GateGPUManager.cu.o.cmake:207 (message):
>   Error generating
>
>
> /home/bioinformatics-lab-03/Behmadi/Build/Gate/CMakeFiles/Gate.dir/source/gpu/src/./Gate_generated_GateGPUManager.cu.o
>
>
> CMakeFiles/Gate.dir/build.make:63: recipe for target
> 'CMakeFiles/Gate.dir/source/gpu/src/Gate_generated_GateGPUManager.cu.o'
> failed
> make[2]: ***
> [CMakeFiles/Gate.dir/source/gpu/src/Gate_generated_GateGPUManager.cu.o]
> Error 1
> CMakeFiles/Makefile2:68: recipe for target 'CMakeFiles/Gate.dir/all' failed
> make[1]: *** [CMakeFiles/Gate.dir/all] Error 2
> Makefile:127: recipe for target 'all' failed
> make: *** [all] Error 2
>
>
> Best
> Mery
>
>
> ‌
> On Wed, Jun 27, 2018 at 1:03 PM Mathieu Dupont <mdupont at cppm.in2p3.fr>
> wrote:
>
> > I'm not an expert of GPU but according to the documentation, GATE needs
> > CUDA for running on GPU and I see that you have a radeon GPU which is
> > not compatible with CUDA (as far as I know)
> >
> > On Wed, 27 Jun 2018 12:37:49 +0430
> > Mery MB <mery.mb.mph at gmail.com> wrote:
> >
> > > Dear Gate Usre
> > >
> > > I want to install Gate based on GPU (Graphic Processing Unit) to
> > > increase my speed on cluster for running my programs ?
> > > I wonder if someone can help me in this issue or have any experience?
> > > My Graphic card is as follow based on the script which I write in
> > > terminal:
> > >
> > > lspci -vnn | grep VGA -A 12
> > >
> > > 04:00.0 VGA compatible controller [0300]: Advanced Micro Devices, Inc.
> > > [AMD/ATI] Cedar [Radeon HD 5000/6000/7350/8350 Series] [1002:68f9]
> > > (prog-if 00 [VGA controller])
> > >     Subsystem: PC Partner Limited / Sapphire Technology Cedar [Radeon
> > > HD 5000/6000/7350/8350 Series] [174b:e199]
> > >     Physical Slot: 2
> > >     Flags: bus master, fast devsel, latency 0, IRQ 55
> > >     Memory at e0000000 (64-bit, prefetchable) [size=256M]
> > >     Memory at f0100000 (64-bit, non-prefetchable) [size=128K]
> > >     I/O ports at 2000 [size=256]
> > >     Expansion ROM at f0140000 [disabled] [size=128K]
> > >     Capabilities: <access denied>
> > >     Kernel driver in use: radeon
> > >     Kernel modules: radeon
> > >
> > > 04:00.1 Audio device [0403]: Advanced Micro Devices, Inc. [AMD/ATI]
> > > Cedar HDMI Audio [Radeon HD 5400/6300 Series] [1002:aa68]
> > >
> > >
> > >
> > > Best
> > > Mery
> > >
> > >
> > > ‌
> > > [image: Mailtrack]
> > > <
> >
> https://mailtrack.io?utm_source=gmail&utm_medium=signature&utm_campaign=signaturevirality1&
> > >
> > > Sent
> > > with Mailtrack
> > > <
> >
> https://mailtrack.io?utm_source=gmail&utm_medium=signature&utm_campaign=signaturevirality1&
> > >
> >
> >
> >
> > --
> > Mathieu Dupont - Ingénieur de Recherche
> > CENTRE DE PHYSIQUE DES PARTICULES DE MARSEILLE
> > UMR 7346 - Aix-Marseille Université - CNRS/IN2P3
> > 163 avenue de Luminy, Case 902, F -13288 Marseille CEDEX 09
> > Tél.: +33 (0) 4 91 82 72 19 <+33%204%2091%2082%2072%2019>
> > Site : cppm.in2p3.fr - Email : mdupont at cppm.in2p3.fr
> >
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-- 
----------------------------------------------------------------
Hoyeon Lee
Ph.D candidate
Medical Imaging and Radiotherapeutics Lab.
Dept. of Nuclear and Quantum Engineering
KAIST

*https://github.com/leehoy <https://github.com/leehoy>*
leehoy12345 at gmail.com
+82 42-350-3868
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