I probably already know the answer to this question, but here it is anyway. I have a large LIDAR data set that I need to use to create a watershed map. In M8, the process involves filling sinks in the LIDAR data before calculating flow paths and watershed boundaries. The data set I am using now is of much higher resolution than older LIDAR data I have used in the past. Calculating watersheds using the older data was very quick (comparatively). The newer data, however, can take a very long time to fill sinks and create watersheds. The data set I am working with right now ran for more than 110 hours before routine office computer maintenance killed the job. I am not looking forward to another drawn-out analysis of this data.
My question is whether M9 has a similar function to fill sinks as M8? I feel that utilization of CUDA should significantly speed up the process of filling the sinks in the data.
General information on my computer:
Dell Precision Tower 5810 with an Intel Xeon processor running at 3.1 GHz, 16 GB RAM, 256 GB SSD drive, NVidia Quadro K620 graphics card. Manifold V8 Build 184.108.40.206. Manifold V9 Build 220.127.116.11.
I appreciate any help!