CUDA 2.0 multi threading

Accelerated Computing CUDA CUDA Programming and Performance
1

Hi,

I’ve got a multithreading application with the Cuda H264 decoder libaries. The decoder works fine with the NV12toYUV conversion done by CPU. I wanted to add the NV12TORGB (NV12ToARGB_drvapi) conversion from the SDK samples in order to speed up the whole decoding process. I’ve got a 999 error code on then a 700 error code (CUDA_ERROR_LAUNCH_FAILED) on cuvidMapVideoFrame function call. I suppose there is a possible conflict on multi threading with the H264 library and the fact to load and launch a Cuda module. I use the GTX280 and the last version of the cuda2.0 and last evrsion of driver. I saw Eric Young posted a solution but I can’t download it from the forum site - Download error from the server ?

Thanks

2

If you’re going to crosspost, you should at least check that you’re in the right category. The cuda video decoder is not supported in linux.

N.

3

So, has this changed? I’m about to test it. Here is an interesting result on CUDA 4.2 for Ubuntu 12.04:

$ nm -D /usr/lib/libnvcuvid.so.295.40 |grep cuvid

0000000000012180 T cuvidCreateDecoder

000000000000ec60 T cuvidCreateVideoParser

0000000000040f10 T cuvidCreateVideoSource

0000000000040e00 T cuvidCreateVideoSourceW

00000000000120a0 T cuvidCtxLock

0000000000012300 T cuvidCtxLockCreate

0000000000012280 T cuvidCtxLockDestroy

00000000000120d0 T cuvidCtxUnlock

0000000000011f80 T cuvidDecodePicture

0000000000012100 T cuvidDestroyDecoder

000000000000d4c0 T cuvidDestroyVideoParser

00000000000407a0 T cuvidDestroyVideoSource

0000000000040930 T cuvidGetSourceAudioFormat

0000000000040b30 T cuvidGetSourceVideoFormat

0000000000040660 T cuvidGetVideoSourceState

0000000000011fa0 T cuvidMapVideoFrame

0000000000011ff0 T cuvidMapVideoFrame64

000000000000d930 T cuvidParseVideoData

0000000000040600 T cuvidSetVideoSourceState

0000000000012040 T cuvidUnmapVideoFrame

0000000000012060 T cuvidUnmapVideoFrame64

It appears that the hooks are now in the Linux library for GPU video decoding via CUDA. Has anyone tested it out?