Published February 15, 2022
| Version v0.3.0
Software
Open
JuliaGPU/AMDGPU.jl: v0.3.0
Authors/Creators
- 1. @mit
- 2. Karolinska Institutet
- 3. Massachusetts Institute of Technology
- 4. @JuliaComputing
- 5. Argonne National Laboratory
Description
AMDGPU v0.3.0
Closed issues:
- Embed/wrap lld linker (#27)
- Document math intrinsics usage (#17)
- Track kernel dependencies in ROCArray (#48)
- Error in build step: Inconsistency detected by ld.so (#68)
- Use
Array{UInt8}(undef, len)instead ofrepeat(" ", len)(#132) - Add method overrides (#135)
- CUDA vs AMDGPU (#137)
- Problems on 4750U mobile APU (#142)
- Unable to build AMDGPU.jl with roc* libraries (#154)
wavefrontsize64_{on|off}.bcmissing withJULIA_AMDGPU_DISABLE_ARTIFACTS=true(#172)- Segfault on array or kernel operation (#178)
- Julia 1.7.0 breaks (#184)
Merged pull requests:
- at-roc: Support threads and blocks kwargs (#167) (@jpsamaroo)
- Add errorhandler for async queue errors (#174) (@vchuravy)
- rocprintf: Avoid reading bad data (#176) (@jpsamaroo)
- bump GPUCompiler to 0.13 (#181) (@vchuravy)
- Test multiple GPUArrays versions (#182) (@jpsamaroo)
- Propagate device to roccall (#186) (@jpsamaroo)
- LB Julia to 1.7, upgrade to ROCm 4.2 (#187) (@jpsamaroo)
- Detect ROCM_PATH environment variable (#188) (@michel2323)
- Add new DOCUMENTER_KEY (#189) (@jpsamaroo)
Files
JuliaGPU/AMDGPU.jl-v0.3.0.zip
Files
(276.6 kB)
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Additional details
Related works
- Is supplement to
- https://github.com/JuliaGPU/AMDGPU.jl/tree/v0.3.0 (URL)