Hi, There is no clear rule on which is the best value. Doing it projection by projection is slower than doing it a few projections at a time because this is making a more optimal use of cache memory. However, cache memory is limited so it is not surprising that the performances don't increase indefinitely. The best is to test a few values to check which is the best one. Best regards, Simon
On Tue, Mar 18, 2025 at 1:44 PM Anshika G <anshik...@panaceamedical.com> wrote: > Hi everyone, > > While going through the RTK installation documentation, I came across the > RTK_CUDA_PROJECTIONS_SLAB_SIZE parameter, which can be configured during > the CMake process. This parameter defines the number of projections > processed simultaneously during CUDA processing, with the default value set > to 16. > > My understanding is that increasing this value should, in theory, reduce > the overall runtime of the FDK reconstruction when using CUDA. However, I > tried increasing it to 32 and 64, but observed no noticeable improvement in > runtime. I’m using an NVIDIA Quadro RTX 6000 GPU. > > > > Has anyone else experimented with this parameter or can provide insight > into why changing the value doesn't seem to affect performance? > > Any suggestions or guidance would be appreciated! > > > > Thank you! > > > > > _______________________________________________ > Rtk-users mailing list > rtk-us...@openrtk.org > https://www.creatis.insa-lyon.fr/mailman/listinfo/rtk-users >
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