Published November 15, 2023
| Version v0.9.13
Software
Open
JuliaGPU/KernelAbstractions.jl: v0.9.13
Authors/Creators
- Valentin Churavy1
- Dilum Aluthge2
- Anton Smirnov
- James Schloss3
- Julian Samaroo
- Lucas C Wilcox
- Simon Byrne4
- Tim Besard5
- Maciej Waruszewski
- Ali Ramadhan6
- Meredith
- Simeon Schaub
- Navid C. Constantinou7
- Jake Bolewski
- Max Ng
- William Moses8
- Carsten Bauer9
- Michel Schanen10
- Ben Arthur11
- Charles Kawczynski4
- Chris Hill
- Christopher Rackauckas6
- Gunnar Farnebäck12
- Hendrik Ranocha13
- James Cook
- Jerry Ling
- Jinguo Liu (刘金国)14
- 1. @mit
- 2. Brown University
- 3. LeiosOS
- 4. Caltech
- 5. @JuliaComputing
- 6. Massachusetts Institute of Technology
- 7. Australian National University
- 8. MIT
- 9. @pc2
- 10. Argonne National Laboratory
- 11. Howard Hughes Medical Institute / Janelia Research Campus / Scientific Computing
- 12. ContextVision AB
- 13. Johannes Gutenberg University Mainz
- 14. Hong Kong University of Science and Technology (Guangzhou)
Description
KernelAbstractions v0.9.13
Merged pull requests:
- Add
<0.0.1compat for all stdlibs outside of julia repo (#434) (@sharanry) - Simple benchmarks (#435) (@vchuravy)
- EnzymeExt allocate subtape of correct size. (#437) (@michel2323)
Files
JuliaGPU/KernelAbstractions.jl-v0.9.13.zip
Files
(62.3 kB)
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Additional details
Related works
- Is supplement to
- Software: https://github.com/JuliaGPU/KernelAbstractions.jl/tree/v0.9.13 (URL)