Hi Moritz, Thanks for the report. It's a bit hard to be convinced that something is wrong without being able to reproduce it. From the RTK_PROBE_EACH_FILTER log, most of the time is spent reading the projections which will be the same with or without cuda so I wonder if this is not the issue here. I can try to reproduce the issue, can you just confirm the two configurations : Cuda 10.2, ITK 5.2.1, RTK 2.1.0 vs Cuda 11.5, ITK 5.2.1 RTK 2.3.0 ? Thanks, Simon
On Fri, Nov 5, 2021 at 4:20 PM Moritz Schaar <sch...@imt.uni-luebeck.de> wrote: > Hi, > > > > I recently upgraded my Windows 10 system to ITK 5.2.1 including RTK 2.3.0. > > This also involved upgrading CUDA from 10.2 to 11.5, Visual Studio 2019 > and even python update (3.8.5 to 3.8.12). > > Using the python wrapping of RTK I implemented own routines that use FDK > similar to the rtkfdk application. > > On the old system (ITK 5.2.1, RTK 2.1.0) I benchmarked the FDK for a > 512x512x200 dataset reconstructed into 256x256x256 with 1.0 mm isotropic > voxel size. > > The system is equipped with 24 CPU cores and one RTX 2080 Ti, so the CPU > version took 17.1 and the CUDA version 1.2 seconds. > > Running the new software version on the same system results in roughly 19 > s CPU time but more than 7 s for the CUDA version. > > I don’t care about the actual timings but the relative increase of the > CUDA version is what bothers me. > > > > To dig up some more information I recompiled RTK with > RTK_PROBE_EACH_FILTER and ran rtkfdk.exe for the same data, this is what I > got: > > > ************************************************************************************************************** > > Probe Tag Starts Stops Time > (s) Memory (kB) Cuda memory (kB) > > > ************************************************************************************************************** > > ChangeInformationImageFilter 200 200 > 0.0211846 0 0 > > ConstantImageSource 1 1 > 0.0305991 65668 0 > > CudaCropImageFilter 13 13 > 0.0222911 15786.8 15753.8 > > CudaDisplacedDetectorImageFilter 13 13 > 0.0540568 10719.1 16384 > > CudaFDKBackProjectionImageFilter 13 13 > 0.0326397 5051.38 5041.23 > > CudaFDKConeBeamReconstructionFilter 1 1 > 5.72999 552184 211648 > > CudaFDKWeightProjectionFilter 13 13 > 0.0262806 -13892 630.154 > > CudaFFTRampImageFilter 13 13 > 0.148416 43095.4 12499.7 > > CudaParkerShortScanImageFilter 13 13 > 0.0467202 2525.85 15753.8 > > ExtractImageFilter 13 13 > 0.0259726 15812.3 -15753.8 > > ImageFileReader 200 200 > 0.0226735 -0.16 0 > > ImageSeriesReader 200 200 > 0.066097 6.12 0 > > ProjectionsReader 1 1 > 26.0388 208488 0 > > StreamingImageFilter 2 2 16.0663 > 547512 191840 > > VnlRealToHalfHermitianForwardFFTImageFilter 2 2 > 0.0208174 0 0 > > > > Following the conversion on the mailing list, > https://public.kitware.com/pipermail/rtk-users/2018-July/010617.html, I > see that the CudaFDKConeBeamReconstructionFilter takes 6.41 s of which > roughly 1/3 is spent in the CudaFFTRampImageFilter. > > Sadly I don’t have these results for the old software version so I can’t > relate these values. > > > > However, I also played around with v2.2.0 but it doesn’t make a difference. > > Sadly, the version I used before (v2.1.0) won’t compile with CUDA 11.5 > anymore. I tried to add small adjustments e.g. this commit > https://github.com/SimonRit/RTK/commit/3d3c7506087f5fa98aee75df5af5c30e7e51cbe6 > to make things work but this didn’t work. > > The same happens with other errors when trying to setup ITK 5.1.2, so > getting back the old version for comparison seems impossible. > > > > Is there any direction you can point me to check what is actually the > issue here? Or maybe someone has an idea what could be the reason? > CUDA/RTK/ITK > version? > > Any help is appreciated. > > > > *Best,* > > *Moritz* > > > _______________________________________________ > Rtk-users mailing list > Rtk-users@public.kitware.com > https://public.kitware.com/mailman/listinfo/rtk-users >
_______________________________________________ Rtk-users mailing list Rtk-users@public.kitware.com https://public.kitware.com/mailman/listinfo/rtk-users
