3 unstable releases

0.1.0	Dec 23, 2021
0.0.2	Dec 23, 2021
0.0.1	Dec 13, 2021

#1521 in Math

Apache-2.0

66KB
2K SLoC

spaceform

A library for 3D rendering and simulation.
It aims to be ergonomic, fast, and flexible.

Speed

Operation	`cgmath`	`spaceform` simd	`spaceform` scalar
Vector + Vector	0.45 ns	0.23 ns	0.45 ns
Vector - Vector	0.45 ns	0.23 ns	0.45 ns
Vector * Vector	0.45 ns	0.23 ns	0.45 ns
Vector / Vector	0.45 ns	0.23 ns	0.45 ns
Vector abs	-	0.23 ns	0.45 ns
Vector horizontal sum	0.22 ns	0.22 ns	0.22 ns
Vector min and max	-	0.23 ns	0.45 ns
Vector dot product	0.23 ns	0.23 ns	0.23 ns
Vector cross product	0.46 ns	0.23 ns	0.45 ns
Vector * Matrix	5.5 ns	0.22 ns	0.45 ns
Matrix * Matrix	24 ns	0.95 ns	2 ns
Matrix transpose	2 ns	0.9 ns	2 ns
Matrix inverse	12 ns	0.95 ns	2 ns
Quaternion * Quaternion	0.45 ns	0.23 ns	0.45 ns

Benchmarked on an i7-4790K @ 4.6 Ghz.
At worst, spaceform is as fast as cgmath.
For vector-vector operations, spaceform is around twice as fast as cgmath.
For matrix operations, spaceform blows cgmath out of the water.
In some cases, even scalar spaceform is faster than cgmath.

Here is the worst case scenario for spaceform, where data has to be loaded from memory before every single operation.

Operation	`cgmath`	`spaceform` simd	`spaceform` scalar
Vector + Vector	1.8 ns	0.5 ns	1.8 ns
Vector - Vector	1.8 ns	0.5 ns	1.8 ns
Vector * Vector	1.8 ns	0.5 ns	1.8 ns
Vector / Vector	1.8 ns	1.7 ns	6.2 ns
Vector abs	-	0.5 ns	1 ns
Vector horizontal sum	1 ns	0.65 ns	1 ns
Vector min and max	-	0.6 ns	0.9 ns
Vector dot product	2 ns	0.9 ns	2 ns
Vector cross product	2.3 ns	0.9 ns	3.2 ns
Vector * Matrix	5.5 ns	1.5 ns	4.8 ns
Matrix * Matrix	30 ns	4.7 ns	19 ns
Matrix transpose	4.5 ns	1.9 ns	5.6 ns
Matrix inverse	22 ns	11.8 ns	30 ns
Quaternion * Quaternion	0.45 ns	0.23 ns	0.45 ns

spaceform still beats cgmath with simd.

nightly spaceform

3 unstable releases

spaceform

Speed

No runtime deps