GPU: Difference between revisions
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(OpenCL vs CODA) |
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* [http://lists.osgeo.org/pipermail/grass-user/2009-December/053476.html Comment] | * [http://lists.osgeo.org/pipermail/grass-user/2009-December/053476.html Comment] | ||
* As I understand it, CODA is 100% dependent on the closed-source binary driver from nVidia and works on their video cards alone. Which is fine for today for people with nVidia hardware using their binary video card driver. If nVidia decides in a couple of years to stop supporting | * As I understand it, CODA is 100% dependent on the closed-source binary driver from nVidia and works on their video cards alone. Which is fine for today for people with nVidia hardware using their binary video card driver. If nVidia decides in a couple of years to stop supporting CODA, your old card, your specific OS or distro, your OS or distro version+cpu type, or if they go out of business or are bought/sold to another company who is not interested, the code based on it work becomes useless. For this reason code written for an open platform such as OpenCL, even if less advanced, seems to have a brighter long-term future. -- ''HB'' | ||
Revision as of 07:33, 1 April 2010
Comments from the mailing list concerning GRASS and GPU parallelization:
- Discussion - GPU Parallelization (follow thread)
- Discussion - OpenCL Parallelization (follow thread)
- Comment
- Comment
- As I understand it, CODA is 100% dependent on the closed-source binary driver from nVidia and works on their video cards alone. Which is fine for today for people with nVidia hardware using their binary video card driver. If nVidia decides in a couple of years to stop supporting CODA, your old card, your specific OS or distro, your OS or distro version+cpu type, or if they go out of business or are bought/sold to another company who is not interested, the code based on it work becomes useless. For this reason code written for an open platform such as OpenCL, even if less advanced, seems to have a brighter long-term future. -- HB
Modules of interest to be parallelized
The target version will be GRASS 7 (alias SVN trunk).
- r.mapcalc
- v.surf.rst
- v.vol.rst
- raster library
- vector library
- ...