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More prominently document JULIA_CUDA_USE_BINARYBUILDER #204
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installation
CUDA is easy to install, right?
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Why not call |
This is now mentioned on the main installation overview docs: https://juliagpu.gitlab.io/CUDA.jl/installation/overview/ |
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Runtime downloading of artifacts at module
__init__
is a real pain for deployment, especially for parallel workloads. Would it be possible to move the lazy downloading of the artifact toPkg.build()
?It would also be useful to have a mechanism to save these preferences so that they persist between sessions/versions (FFTW.jl and MPI.jl save their preferences to a file in
.julia/prefs/
, but JuliaLang/Pkg.jl#1835 will hopefully provide a more systematic way to do this).cc: @vchuravy @jakebolewski
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