Benchmarks of ordito.laplacian against every library that computes the same thing. Each chart shows the time of every library relative to ordito on CUDA (1x, in green): a longer bar took longer. The table under each chart lists every input the function was measured on. See Benchmarks for how to read and reproduce these numbers.
Time relative to ordito (CUDA), geometric mean over the laplacian functions both implement; in parentheses, the number of functions. Log scale. Runs stopped at the time limit are left out.Values
Library
Time relative to ordito
Functions compared
ordito faster in
PyTorch3D (CUDA)
3.7x
4
4
potpourri3d
168x
2
2
libigl
226x
7
7
trimesh
648x
2
2
PyVista
1627x
1
1
cotmatrix_entries
dragon (871 414 faces) · time relative to ordito, log scaleValues
Library
Median
Relative to ordito
ordito (CUDA)
23.4 µs
1x
libigl
30.52 ms
1305x
All inputs
Input
ordito (CUDA)
libigl
sphere_small
22.8 µs
bunny_decimated
22.9 µs
4.29 ms
bunny
21.6 µs
5.03 ms
dragon
23.4 µs
30.52 ms
happy_buddha
30.0 µs
29.68 ms
lucy
574.6 µs
1.501 s
cotmatrix_entries_intrinsic
dragon (871 414 faces) · time relative to ordito, log scaleValues
Library
Median
Relative to ordito
ordito (CUDA)
21.5 µs
1x
libigl
21.56 ms
1002x
All inputs
Input
ordito (CUDA)
libigl
sphere_small
26.4 µs
bunny_decimated
19.8 µs
2.80 ms
bunny
17.8 µs
3.72 ms
dragon
21.5 µs
21.56 ms
happy_buddha
29.3 µs
29.03 ms
lucy
672.1 µs
1.701 s
cotmatrix
dragon (871 414 faces) · time relative to ordito, log scaleValues
Library
Median
Relative to ordito
ordito (CUDA)
810.7 µs
1x
PyTorch3D (CUDA)
2.91 ms
3.6x
libigl
268.25 ms
331x
potpourri3d
602.84 ms
744x
All inputs
Input
ordito (CUDA)
libigl
potpourri3d
PyTorch3D (CUDA)
sphere_small
181.3 µs
bunny_decimated
173.5 µs
7.22 ms
7.55 ms
529.6 µs
bunny
191.1 µs
17.49 ms
34.47 ms
574.4 µs
dragon
810.7 µs
268.25 ms
602.84 ms
2.91 ms
happy_buddha
927.9 µs
345.81 ms
763.06 ms
3.78 ms
lucy
35.69 ms
9.061 s
23.892 s
127.51 ms
laplacian_equal_weight
dragon (871 414 faces) · time relative to ordito, log scaleValues
Library
Median
Relative to ordito
ordito (CUDA)
411.5 µs
1x
PyTorch3D (CUDA)
1.92 ms
4.7x
trimesh
121.12 ms
294x
All inputs
Input
ordito (CUDA)
PyTorch3D (CUDA)
trimesh
sphere_small
148.4 µs
bunny_decimated
130.8 µs
391.6 µs
1.91 ms
bunny
188.4 µs
442.3 µs
9.07 ms
dragon
411.5 µs
1.92 ms
121.12 ms
happy_buddha
565.7 µs
2.74 ms
151.97 ms
lucy
20.47 ms
120.52 ms
4.748 s
laplacian_inverse_distance
dragon (871 414 faces) · time relative to ordito, log scaleValues
Library
Median
Relative to ordito
ordito (CUDA)
447.3 µs
1x
PyTorch3D (CUDA)
1.66 ms
3.7x
trimesh
5.928 s
13254x
All inputs
Input
ordito (CUDA)
PyTorch3D (CUDA)
trimesh
sphere_small
216.5 µs
bunny_decimated
203.1 µs
386.1 µs
69.45 ms
bunny
223.0 µs
415.0 µs
462.27 ms
dragon
447.3 µs
1.66 ms
5.928 s
happy_buddha
627.4 µs
2.24 ms
7.484 s
lucy
21.12 ms
110.25 ms
191.379 s
mass_matrix_entries
sphere_med (81 920 faces) · time relative to ordito, log scaleValues
Library
Median
Relative to ordito
ordito (CUDA)
41.3 µs
1x
potpourri3d
6.94 ms
168x
libigl
9.24 ms
224x
All inputs
Input
ordito (CUDA)
libigl
potpourri3d
sphere_med
41.3 µs
9.24 ms
6.94 ms
fan_hub
125.4 µs
8.99 ms
5.98 ms
mass_matrix
sphere_med (81 920 faces) · time relative to ordito, log scaleValues
Library
Median
Relative to ordito
ordito (CUDA)
71.5 µs
1x
PyTorch3D (CUDA)
454.5 µs
6.4x
libigl
9.12 ms
127x
All inputs
Input
ordito (CUDA)
libigl
PyTorch3D (CUDA)
sphere_med
71.5 µs
9.12 ms
454.5 µs
fan_hub
142.2 µs
8.84 ms
482.3 µs
robust_laplacian
dragon (871 414 faces) · time relative to ordito, log scaleValues
Library
Median
Relative to ordito
ordito (CUDA)
2.26 ms
1x
libigl
260.56 ms
115x
All inputs
Input
ordito (CUDA)
libigl
sphere_small
451.5 µs
bunny_decimated
603.8 µs
5.97 ms
bunny
610.5 µs
16.05 ms
dragon
2.26 ms
260.56 ms
happy_buddha
2.94 ms
208.76 ms
lucy
86.61 ms
8.691 s
face_gradients
dragon (871 414 faces) · precomputed=False · time relative to ordito, log scaleValues
Library
Median
Relative to ordito
ordito (CUDA)
116.5 µs
1x
libigl
281.41 ms
2416x
PyVista
388.73 ms
3337x
All inputs
Input
ordito (CUDA)
libigl
PyVista
sphere_small precomputed=False
24.6 µs
sphere_small precomputed=True
24.3 µs
bunny_decimated precomputed=False
22.0 µs
2.66 ms
7.22 ms
bunny_decimated precomputed=True
26.0 µs
bunny precomputed=False
30.7 µs
12.63 ms
30.16 ms
bunny precomputed=True
31.2 µs
dragon precomputed=False
116.5 µs
281.41 ms
388.73 ms
dragon precomputed=True
118.4 µs
happy_buddha precomputed=False
180.7 µs
217.17 ms
458.15 ms
happy_buddha precomputed=True
145.5 µs
lucy precomputed=False
2.92 ms
10.239 s
12.203 s
lucy precomputed=True
2.92 ms
Without a reference
No other library computes these, so they have no comparison. ordito (CUDA)'s median time on the largest input it was measured on: