Hi @Ethan, Can you tell me if i add a GPU to server , Will it be easier for Thinkgeo to render the images more efficiently?
When map render, of course is need takes source include CPU, memory etc. So I think that’s decided with where is your bottleneck.
If you found the memory usage is not so big but the CPU keep in 100%, which means the CPU should be bottleneck.
I guess your server is a cloud server, I think you can trial a server with better CPU and see whether the performance is better, you also can add the test code to record the render time and compare it better.
hi @Ethan, I 'm asking about Graphics Process Unit (GPU) .
Just tell me, will it add any advantage to map processing ?
We don’t have statistical data about this problem, but our map is render via GDI+, the performance of GDI+ is related with CPU but not GPU. So only improve GPU shouldn’t be helpful for map render.