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Releases: JuliaGPU/CUDAnative.jl
Releases · JuliaGPU/CUDAnative.jl
v0.5.0
- build: don't
rm(force)
incatch
as it obfuscates stack traces - build: proper discovery of binary tools
- start migration towards LLVM.jl-based generated functions
- performance: internalize non-entry point functions, allowing for LLVM to discard calling conventions
v0.4.1
Hotfix: apparently the new AS-specific memory operations, which could trigger a known issue in LLVM, do really trigger that issue in real-life code and broke GPUArrays.
v0.4.0
Major release:
- performance: introduce
DevicePtr
parameterized on address space, improves memory operations - performance: generate automatic wrapper function for efficiently passing non-primitive types
- feature: fine-grained recompilation of dependent kernels (ie. 265)
- bugfix: package wouldn't get automatically precompiled again after a failed->successful build cycle
- bugfix: alignment calculation for memory operations
- compatibility with latest CUDAdrv