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author | Sven Gothel <[email protected]> | 2023-04-05 09:42:28 +0200 |
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committer | Sven Gothel <[email protected]> | 2023-04-05 09:42:28 +0200 |
commit | 15e60161787224e85172685f74dc0ac195969b51 (patch) | |
tree | 68f3b44be2b340cfb7903996cea4820512049463 /www/media/jogl-applet-version.png | |
parent | 603233b19373bfa157dd033132bff809af6a123f (diff) |
Math: Complete Matrix4f w/ Vec[234]f and adopt it throughout Quaternion, Ray, AABBox, Frustum, Stereo*, ... adding hook to PMVMatrix
Motivation was to simplify matrix + vector math usage, ease review and avoid usage bugs.
Matrix4f implementation uses dedicated float fields instead of an array.
Performance didn't increase much,
as JVM >= 11(?) has some optimizations to drop the array bounds check.
AMD64 + OpenJDK17
- Matrix4f.mul(a, b) got a roughly ~10% enhancement over FloatUtil.multMatrix(a, b, dest)
- Matrix4f.mul(b) roughly ~3% slower than FloatUtil.multMatrix(a, b, dest)
- FloatUtil.multMatrix(a, a_off, b, b_off, dest) is considerable slower than all
- Matrix4f.invert(..) roughly ~3% slower than FloatUtil.invertMatrix(..)
RaspberryPi 4b aarch64 + OpenJDK17
- Matrix4f.mul(a, b) got a roughly ~10% enhancement over FloatUtil.multMatrix(a, b, dest)
- Matrix4f.mul(b) roughly ~20% slower than FloatUtil.multMatrix(a, b)
- FloatUtil.multMatrix(a, a_off, b, b_off, dest) is considerable slower than all
- Matrix4f.invert(..) roughly ~4% slower than FloatUtil.invertMatrix(..)
Conclusion
- Matrix4f.mul(b) needs to be revised (esp for aarch64)
- Matrix4f.invert(..) should also not be slower ..
Diffstat (limited to 'www/media/jogl-applet-version.png')
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