Comments (1)
Hello, I can tell you that it can be done because I did it, although not on the open source branch. My implementation runs on CUDA and actually is tested on RTX A2000 and RTX 1080 and RTX 3080. If you want to try to do your own, you could take the threaded pug-in as a basis. It is important to note that you have to upload the bitmap to the GPU to get some decent throughput, otherwise all bandwidth is spend on memory copy. Tetrahedral interpolation code can run almost with no change on GPU, and this is what you need. Don't waste time on matrix. Good luck!
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Related Issues (20)
- version mismatch in some files HOT 1
- 2.16: meson falis HOT 6
- Simple Question: How do I get "cmsICCMeasurementConditions" data in IccProfile? HOT 2
- lcms2-2.16 crashes transforming sRGB float to planar uint16 HOT 9
- Eval4Inputs optimisation HOT 5
- CI: use a dependency update tool to keep GitHub Actions updated
- website blog doesn't announce 2.16 release HOT 1
- Backwards incompatible API-change in 2.16 HOT 5
- The fast float plugin doesn't premultiply alpha HOT 1
- Plugins lack soversion when configured with meson
- Possible NPD in cmsCreate_OkLabProfile HOT 2
- FTBFS since commit c429e37 wrt type checking on pointer types HOT 2
- ICC profile with CICP tag HOT 14
- Unable to find program in file system after install HOT 4
- Overflow checks in cmsCreateExtendedTransform HOT 1
- CIE XYZ D65 profile HOT 5
- Non-equidistant planes in DoTransformLineStride HOT 1
- cmsCreateTransform returns nullptr in 2.16, but works in 2.15- HOT 6
- The build system seems to have obsolete zlib support HOT 1
- MD5 computation of Profile ID seems to zero wrong header field HOT 1
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