Search found 20 matches
- Wed Feb 05, 2020 2:14 pm
- Forum: Support
- Topic: Compiling error having two nvidia cuda compatible graphic cards
- Replies: 3
- Views: 27200
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...
- Mon Oct 21, 2019 9:26 am
- Forum: Support
- Topic: Error running demo_notebook
- Replies: 3
- Views: 25143
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,
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,
- Tue Oct 15, 2019 8:27 am
- Forum: Support
- Topic: Error running demo_notebook
- Replies: 3
- Views: 25143
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...
- Thu Oct 10, 2019 9:28 am
- Forum: Support
- Topic: NVIDIA Quadro P2000 and SMARTG
- Replies: 3
- Views: 24652
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,
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,
- Wed Sep 11, 2019 8:04 am
- Forum: Support
- Topic: Compiling cuda binaries
- Replies: 8
- Views: 32980
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,
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,
- Fri Aug 23, 2019 7:24 am
- Forum: Support
- Topic: Compiling cuda binaries
- Replies: 8
- Views: 32980
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...
- Wed Jul 10, 2019 1:36 pm
- Forum: Support
- Topic: Polymer installation
- Replies: 4
- Views: 8682
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...
- Thu Jul 04, 2019 7:52 am
- Forum: Support
- Topic: Polymer installation
- Replies: 4
- Views: 8682
Re: Polymer installation
Hello npal,
Could you tell me:
Hope that helps.
Could you tell me:
- OS used and its version
- gcc/g++ version used (gcc --version and g++ --version)
Hope that helps.
- Wed Jun 12, 2019 11:17 am
- Forum: Support
- Topic: polymer v4.10 installation
- Replies: 4
- Views: 8136
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...
- Fri Feb 15, 2019 9:08 am
- Forum: Support
- Topic: Compiling cuda binaries
- Replies: 8
- Views: 32980
Re: Compiling cuda binaries
Hello amitd, We currently use Cuda 10.0.130 coming straight from official Nvidia repository: https://developer.nvidia.com/cuda-downloads with the recommended driver (410.79) provided by the same repository. Our development platform runs CentOS 7.6 with 6x0, 9x0 and 10x0 models. Could you tell us mor...