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)
- fast float: compiler warning about misleading indentation HOT 2
- Fast float plugin causes incorrect results in sRGB to XYZ transform
- Ship separate pkgconf files for plugins HOT 4
- Suggest Adoption of Scorecard GitHub Action HOT 7
- Different results depending on endianess HOT 5
- It8 get wrong strings when SAMPLE_NAME start with number.
- Postscript creation code sometimes unusable HOT 2
- UBSan errors found in cmsGetColorSpace: not a valid value for type 'cmsColorSpaceSignature' HOT 2
- Request: allow the provided GPL plugins to build by default HOT 2
- 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
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