#1317 closed enhancement (fixed)
nvidia capture sdk support
| Reported by: | Antoine Martin | Owned by: | Antoine Martin |
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| Priority: | major | Milestone: | 2.1 |
| Component: | server | Version: | trunk |
| Keywords: | shadow | Cc: |
Description (last modified by )
Split from #365: the nvidia documentation is finally available: NVIDIA Capture SDK.
We could use this for high performance shadow servers or with stereo rendering, especially for win32 (#389) where this solves the biggest problem (efficient pixel capture).
Attachments (2)
Change History (12)
comment:1 Changed 2 years ago by
| Description: | modified (diff) |
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| Status: | new → assigned |
comment:2 Changed 20 months ago by
| Milestone: | 2.0 → 2.1 |
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comment:3 Changed 20 months ago by
comment:4 Changed 19 months ago by
| Keywords: | shadow added |
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Problem is that the SDK states: NVIDIA Quadro 2000 class or higher, select Tesla including M6/M60/M10 and P40.
And sure enough, I tried on on both Linux and MS Windows 7, no go with a GTX 1070 / GTX 970. Looks like a purely commercial licensing restriction, again.
We probably need a Quadro Maxwell or newer to be able to do capture at 4k to HEVC, and those cards aren't cheap: M4000 costs ~$800.
The M2000 is a bit cheaper at $420, but for our purpose the performance will be similar to my old GTX 750 Ti... which costs $100, sigh.
For non-proprietary options, see ticket:389#comment:19
A good explanation of the differences between NvFBC, NvIFR, NvENC:Steam : Explanation NvFBC, NvIFR, NvENC.
comment:5 Changed 18 months ago by
Recorded some progress here: ticket:389#comment:21.
Needs porting to Linux.
comment:6 Changed 18 months ago by
Partial port to Linux done in r15787.
(CUDA variant still needs doing, will be useful for toying with GPU pre-compression)
comment:7 Changed 17 months ago by
RPM packaging fix in r15941 so users without the nvidia proprietary drivers can still install the package!
before:
$ rpm -qpR ./RPMS/x86_64/python2-xpra-2.1-0.fc26.x86_64.rpm | grep -i nvidia libnvidia-fbc.so.1()(64bit)
and after:
$ rpm -qpR ./RPMS/x86_64/python2-xpra-2.1-0.fc26.x86_64.rpm | grep -i nvidia
comment:8 Changed 15 months ago by
Important fix in r16457, see ticket:1552#comment:4.
We now have zero-copy GPU transfers! See ticket:365#comment:12
For Linux, as of r16479, the download-to-host-memory version works, the CUDA imagewrapper does not (memcpy_dtod fails).
Changed 15 months ago by
pkg-config file used on Linux - fixes double-slash problem during rpmbuild: https://bugzilla.redhat.com/show_bug.cgi?id=304121
comment:9 Changed 15 months ago by
| Resolution: | → fixed |
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| Status: | assigned → closed |
copyleft 2010 - 2018
See also #1347 and #1308