Published December 2, 2023
| Version v0.8.1
Software
Open
JuliaGPU/AMDGPU.jl: v0.8.1
Authors/Creators
- Julian Samaroo
- Anton Smirnov
- Valentin Churavy1
- Ludovic Räss2
- Alexis Montoison
- Torrance Hodgson3
- Wiktor Phillips1
- Ali Ramadhan4
- Tim Besard5
- Julia TagBot
- Michel Schanen6
- Carsten Bauer7
- Gabriel Baraldi5
- Mosè Giordano8
- Takafumi Arakaki
- Stephan Antholzer
- Alessandro
- Chris Elrod5
- Hendrik Ranocha9
- Martin Kunz
- Matin Raayai10
- Tim Gymnich11
- Tom Hu12
- Utkarsh13
- 1. @mit
- 2. University of Lausanne
- 3. Curtin Institute of Computation
- 4. Massachusetts Institute of Technology
- 5. @JuliaComputing
- 6. Argonne National Laboratory
- 7. @pc2
- 8. @UCL-ARC
- 9. Johannes Gutenberg University Mainz
- 10. Northeastern University
- 11. Technical University of Munich
- 12. @codecov
- 13. @sciml
Description
AMDGPU v0.8.1
Merged pull requests:
- Implement device-side RNG (#380) (@utkarsh530)
- Fix path detection in ubuntu like systems (#545) (@gbaraldi)
- Simplify ROCm discovery (#548) (@pxl-th)
- [rocSPARSE] Add new constructors (#550) (@amontoison)
- Check context is valid before freeing streams, arrays. (#552) (@pxl-th)
- [rocSPARSE] Update helpers.jl (#554) (@amontoison)
- Use Atomix.jl for atomics (#555) (@pxl-th)
- Reset exception holder immediately after exception (#556) (@pxl-th)
- Fix exception reporting (#557) (@pxl-th)
- Cleanup (#559) (@pxl-th)
Closed issues:
- Implement sparse BLAS routines (#15)
- Implement iterative solvers (#13)
- Create a Docker image for AMDGPU.jl (#33)
- Implement batched off-thread HSA signal waiting (#128)
- HSA_STATUS_ERROR_INVALID_CODE_OBJECT on gfx803 (#192)
hsa_executable_freezecan hang during high GPU load (#208)- Implement copy!() (#218)
- ROCM/Hip not downloading (?) when ]added (#230)
- mapreducedim! is not implemented for AnyROCArray Types (#234)
- Test of AMDGPU fails on 5900HX - hipErrorNoBinaryForGpu (#244)
- Don't disable ROCm external library type definitions when non-functional (#350)
- AMDGPU.jl doesn't seem to work with 7900 series GPUs (#371)
- Support for rand from Julia Base on device code (#378)
- Detect hardware queue limit and use to limit queue pool size (#403)
- AMDGPU on windows (#465)
- Rely on Atomix.jl for atomics (#547)
Files
JuliaGPU/AMDGPU.jl-v0.8.1.zip
Files
(933.0 kB)
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Additional details
Related works
- Is supplement to
- Software: https://github.com/JuliaGPU/AMDGPU.jl/tree/v0.8.1 (URL)