any tips for making the library run faster?

[eilat-inbal]

Hi,
Thanks for this awesome library!
I'm getting great results but the computation time is very long...
Any tips on how to make it run faster?
I'm running on windows, c++ like this:

coacd::Params params;
params.preprocess_mode = "on";
params.prep_resolution = 150;
params.pca = false;
params.mcts_max_depth = 2;
params.mcts_iteration = 60;
params.merge = true;
params.threshold = 0.02;
coacd::Model convexMesh;
convexMesh.Load(vertices, indices);
convexParts = coacd::Compute(convexMesh, params);

for my mesh, with these parameters t took a few minutes!
I tried making the threshold bigger and the prep_resolution smaller. and that helps but the computation is still very long, and the results are not as good...
any further options for multithreading? for GPU?

thanks!
Inbal

[SarahWeiii]

Hi, the code supports using OpenMP for parallel computing, have you already enabled that?

[kermado]

I was able to make the library quite a bit faster (at least 3X) by performing some simple optimizations. The main changes, IIRC, were:

• Passing large objects by const reference, especially vectors.
• Removing the use of std::pow() for computing small integral powers.
• Reducing heap allocations by caching containers.
• Using faster hash maps.

Also, since the library allocates quite a lot of memory, it may be worth using a different memory allocator if building with multithreading. I found Mimalloc to give good results.