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agnostic (PMVMatrix, Matrix4f, Vec4f, ..)
Math functionality (PMVMatrix, Matrix4f, Vec4f, ..)
- shall be used toolkit agnostic, e.g. independent from OpenGL
- shall be reused within our upcoming Vulkan implementation
- may also move outside of JOGL, i.e. GlueGen or within its own package to be reused for other purposed.
The 'com.jogamp.opengl.util.PMVMatrix' currently also used to feed in GLUniformData
via the toolkit agnostic SyncAction and SyncBuffer
shall also be split to a toolkit agnostic variant.
An OpenGL PMVMatrix specialization implementing GLMatrixFunc can still exist,
being derived from the toolkit agnostic base implementation.
+++
Initial commit .. compile clean, passing most unit tests.
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is an intrinsic + branch-less implementation
Expected implementation is
- return Float.intBitsToFloat(Float.floatToRawIntBits(a) & 0x7fffffff);
replacing old implementation
- return (a <= 0.0F) ? 0.0F - a : a;
.. also market as @IntrinsicCandidate
Hence we shall leave it to the JRE core-lib implementation...
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instead of float[] and remove unused VectorUtil methods
After Matrix4f consolidation and proving same or better performance on non array types,
this enhances code readability, simplifies API, reduces bugs and may improve performance.
GraphUI:
- Have RoundButton as a functional class to make a round or rectangular backdrop,
i.e. impl. addShapeToRegion() via reused addRoundShapeToRegion()
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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 ..
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Add Path2F addPath(..), emphasize required Winding.CW
GPURegionGLListener01 used by TestRegionRendererNEWT01 covers Path2F CCW and CW (reverse add) methods.
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and index etc, used to avoid arraycopy (efficancy)
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