Thank you for using FluidX3D! Update v3.2 brings the much requested GPU-accelerated force/torque summation:

Improvements

• implemented GPU-accelerated force/torque summation (~20x faster than CPU-multithreaded implementation before)
• simplified calculating object force/torque in setups; before:

  lbm.voxelize_mesh_on_device(mesh, TYPE_S|TYPE_X);
  const float3 lbm_com = lbm.calculate_object_center_of_mass(TYPE_S|TYPE_X);
  // ...
  lbm.calculate_force_on_boundaries();
  lbm.F.read_from_device(); // having to copy entire lbm.F from GPU VRAM to CPU RAM was slow!! 
  const float3 lbm_force = lbm.calculate_force_on_object(TYPE_S|TYPE_X); // slow CPU-multithreaded summation
  const float3 lbm_torque = lbm.calculate_torque_on_object(lbm_com, TYPE_S|TYPE_X); // slow CPU-multithreaded summation

  now:

  lbm.voxelize_mesh_on_device(mesh, TYPE_S|TYPE_X);
  const float3 lbm_com = lbm.object_center_of_mass(TYPE_S|TYPE_X);
  // ...
  const float3 lbm_force = lbm.object_force(TYPE_S|TYPE_X); // fast GPU-accelerated summation, copy only result to CPU
  const float3 lbm_torque = lbm.object_torque(lbm_com, TYPE_S|TYPE_X); // fast GPU-accelerated summation, copy only result to CPU

• improved coloring in VIS_FIELD/ray_grid_traverse_sum()
• updated OpenCL-Wrapper now compiles OpenCL C code with -cl-std=CL3.0 if available

Bug fixes

• fixed compiling on macOS with new OpenCL headers

Have fun with the software!
-- Moritz

Here a showcase of the improved coloring in VIS_FIELD/ray_grid_traverse_sum():