Search found 11 matches

by LaurentWandrebeck
Thu Feb 06, 2020 1:42 pm
Forum: Support
Topic: Compiling error having two nvidia cuda compatible graphic cards
Replies: 3
Views: 5078

Re: Compiling error having two nvidia cuda compatible graphic cards

Hi,

We will update README when next version is to be released. lukepfister pycuda version is indeed old. You can easy replace it with

Code: Select all

pip install pycuda
(you may have to uninstall lukepfister version first) which should do the trick.

HTH,
by LaurentWandrebeck
Wed Feb 05, 2020 2:14 pm
Forum: Support
Topic: Compiling error having two nvidia cuda compatible graphic cards
Replies: 3
Views: 5078

Re: Compiling error having two nvidia cuda compatible graphic cards

Hello, it looks like you’re running Cuda 9 which does not support sm_75. You can either use sm_70 or cuda 10. To select the card you want the code to run on: check with nvidia-smi cards numbers (first number before card hardware name, called GPU). When launching Smartg function, add as parameter dev...
by LaurentWandrebeck
Mon Oct 21, 2019 9:26 am
Forum: SMART-G
Topic: Error running demo_notebook
Replies: 3
Views: 2990

Re: Error running demo_notebook

Hey,

Looks like you have installed a MKL (Intel Math Kernel Library) enabled version of numpy. Either you can disable MKL optimizations, or install MKL.

Please see https://docs.anaconda.com/mkl-optimizations/ for further informations.

HTH,
by LaurentWandrebeck
Tue Oct 15, 2019 8:27 am
Forum: SMART-G
Topic: Error running demo_notebook
Replies: 3
Views: 2990

Re: Error running demo_notebook

Hello jandrey, It looks like pycuda (which is a quite old version) depends on an old version of cuda (8). Simpler (but a bit ugly) way that should work: find where libcurand.so* is located (find / -name 'libcurand.so*' in linux). Go to that directory, and make a symbolic link (ln -s libcurand.so.?.0...
by LaurentWandrebeck
Thu Oct 10, 2019 9:28 am
Forum: Support
Topic: NVIDIA Quadro P2000 and SMARTG
Replies: 3
Views: 2736

Re: NVIDIA Quadro P2000 and SMARTG

Hello Javier,

Though we don’t have tested such hardware, smart-g should run flawlessly with yours.
Feel free to send us feedback so we can add that to tested hardware list.

Best,
by LaurentWandrebeck
Wed Sep 11, 2019 8:04 am
Forum: Support
Topic: Compiling cuda binaries
Replies: 8
Views: 3705

Re: Compiling cuda binaries

Hello Clémence,

Sorry, our README was probably not clear enough. You need a Nvidia graphic card to be able to run any CUDA code. Without such hardware, you simply can’t run SMART-G. If you need any advice to buy some card, feel free to ask.

Best,
by LaurentWandrebeck
Fri Aug 23, 2019 7:24 am
Forum: Support
Topic: Compiling cuda binaries
Replies: 8
Views: 3705

Re: Compiling cuda binaries

Hello Clémence, your hardware may be too new for cuda 8. Can you tell me which card you possess ? Have you been able to run any cuda code (cuda samples are an easy try) with cuda 8 ? Also, I would need the driver version you use. Could you please try installing pycuda with pip install instead of luk...
by LaurentWandrebeck
Wed Jul 10, 2019 1:36 pm
Forum: Support
Topic: Polymer installation
Replies: 4
Views: 3390

Re: Polymer installation

Hi npal, So I guess you’re using CentOS (or RHEL, or Scientific Linux) 7.x. Do you have installed some redhat devtoolset or any other gcc version that could have been used during installation of polymer ? The error message looks like there were some heavily modified environment used during installat...
by LaurentWandrebeck
Thu Jul 04, 2019 7:52 am
Forum: Support
Topic: Polymer installation
Replies: 4
Views: 3390

Re: Polymer installation

Hello npal,

Could you tell me:
  • OS used and its version
  • gcc/g++ version used (gcc --version and g++ --version)
It looks likely you’re hitting something like https://stackoverflow.com/questions/203 ... -not-found

Hope that helps.
by LaurentWandrebeck
Wed Jun 12, 2019 11:17 am
Forum: Support
Topic: polymer v4.10 installation
Replies: 4
Views: 3263

Re: polymer v4.10 installation

Hi rif, If you are using CentOS: You need to install glibc-headers and glibc-devel: (as root) yum install glibc-headers glibc-devel -y If you are using Ubuntu: apt install libc6-dev -y If you are using any other platform, you have to find out which packages provide libc.so and libpthread.so and inst...