Published April 11, 2023
| Version v0.9.2
Software
Open
JuliaGPU/KernelAbstractions.jl: v0.9.2
Authors/Creators
- Valentin Churavy1
- Dilum Aluthge2
- Anton Smirnov
- Julian Samaroo
- James Schloss3
- Lucas C Wilcox
- Simon Byrne4
- Maciej Waruszewski
- Ali Ramadhan5
- Meredith
- Simeon Schaub
- Tim Besard6
- Navid C. Constantinou7
- Jake Bolewski
- Max Ng
- Ben Arthur8
- Charles Kawczynski4
- Chris Hill
- Christopher Rackauckas5
- James Cook
- Jinguo Liu9
- Michel Schanen10
- Oliver Schulz11
- Oscar
- Páll Haraldsson
- Takafumi Arakaki
- Tomas Chor12
- 1. @mit
- 2. Brown University
- 3. LeiosOS
- 4. Caltech
- 5. Massachusetts Institute of Technology
- 6. @JuliaComputing
- 7. Australian National University
- 8. Howard Hughes Medical Institute / Janelia Research Campus / Scientific Computing
- 9. Hong Kong University of Science and Technology
- 10. Argonne National Laboratory
- 11. Max Planck Institute for Physics
- 12. UMD
Description
KernelAbstractions v0.9.2
Closed issues:
- Use occupancy API for autotuning (#19)
- Allow user to turn off contract (#20)
- Assigning ::ROCDevice to ::KA.GPU (#321)
- ROCKernels: using queue pool causes performance regression (#344)
- KernelAbstractions.jl is blocked to v0.8.6 by CUDAKernels (#380)
Merged pull requests:
- CI improvements (#378) (@maleadt)
- Add unsafe_free! (#381) (@pxl-th)
Files
JuliaGPU/KernelAbstractions.jl-v0.9.2.zip
Files
(51.3 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:7ce8db7af00b1229351d6f1abd154363
|
51.3 kB | Preview Download |
Additional details
Related works
- Is supplement to
- https://github.com/JuliaGPU/KernelAbstractions.jl/tree/v0.9.2 (URL)