Opened 10 years ago
Last modified 9 years ago
#10010 needs_info enhancement
PyCUDA package (optional)
| Reported by: | maldun | Owned by: | maldun |
|---|---|---|---|
| Priority: | minor | Milestone: | sage-feature |
| Component: | packages: optional | Keywords: | cuda gpu programming |
| Cc: | leif | Merged in: | |
| Authors: | Stefan Reiterer | Reviewers: | |
| Report Upstream: | N/A | Work issues: | |
| Branch: | Commit: | ||
| Dependencies: | Stopgaps: |
Description (last modified by )
The PyCuda? Package from Andreas Kloeckner (a useful GPU Programming tool for NVIDIA Graphic cards). See http://mathema.tician.de/software/pycuda for more Info
The package can be downloaded from: http://code.google.com/p/spkg-upload/downloads/detail?name=pycuda-0.94.1.spkg (direct link: http://spkg-upload.googlecode.com/files/pycuda-0.94.1.spkg)
Installation Notes:
- Install CUDA on your machine: http://developer.nvidia.com/object/cuda_3_2_toolkit_rc.html
- set the SAGE_CUDA variable in your shell with:
export SAGE_CUDA =/where/you/have/installed/cuda(i set in .bashrc) - install package. (Download it from the links above)
- IMPORTANT: After installation the setuptools package has to be reinstalled!! Because the installer uses the distributed egg package. This messes somehow with setuptools and will be removed after the installation. But this destroys setup tools!
- enjoy!
UPDATE: Now there is a new version of PyCuda? which requires setuptools-0.6c11 (see #10361), where the reinstallment of setuptools is not needed any more. The download link is: http://spkg-upload.googlecode.com/files/pycuda-0.94.2.spkg
Tipp: For some errors, like "nvcc not found" after installation, can a reboot be the solution. At least for me it solved 100% of the troubles I had with a fresh installed pycuda in sage. (Sometimes one has really to switch off the machine!)
WARNING: The whole thing is not well tested, use on own risk!
Change History (11)
comment:1 Changed 10 years ago by
- Status changed from new to needs_info
comment:2 Changed 10 years ago by
- Description modified (diff)
comment:3 Changed 10 years ago by
- Cc leif added
See also #10009 for an optional OpenCL (PyOpenCL) spkg.
comment:4 Changed 10 years ago by
Remark: I changed
cd $SAGE_LOCAL/LIB/python/site-packages
to
cd $SAGE_LOCAL/lib/python/site-packages
to make it possible to install this package on FEMhub also. The same applies for #10009
comment:5 Changed 9 years ago by
I suspect the problem with setuptools breaking after the use of distribute can be solved by upgrading the current default version of setuptools 0.6c9 in Sage to 0.6c11, see also https://groups.google.com/group/sage-support/browse_thread/thread/4153d6a8135c921d
comment:6 follow-up: ↓ 7 Changed 9 years ago by
- Status changed from needs_info to needs_work
After #10361 lands, the setuptools corruption should be gone. Also, there's an update upstream (pycuda-0.94.2), which fixes some kind of corruption bug for Fermi devices. It would be good to have this update.
comment:7 in reply to: ↑ 6 Changed 9 years ago by
comment:8 Changed 9 years ago by
- Description modified (diff)
- Status changed from needs_work to needs_info
I uploaded a package with the new PyCuda? version, which holds the change with respect to the update. There was only one small problem, which could be fixed rather easily: the PyCuda? folder contained a folder named src, which leaded to name problems during the installation. Creation of some symbolic links did the trick.
Here thelink of the new package: http://spkg-upload.googlecode.com/files/pycuda-0.94.2.spkg
comment:9 Changed 9 years ago by
- Description modified (diff)
comment:10 Changed 9 years ago by
- Description modified (diff)
comment:11 Changed 9 years ago by
- Description modified (diff)
This is only tested in ubuntu 10.04 with nvidia devel drivers (260.40) on an NVIDIA GeForce? 9500 GT, with CUDA toolkit 3.2.
So more testing is neeeded!