Comments (1)
The issue is actually maleadt/LLVM.jl#17 -- CUDAnative.jl itself is already compatible with non-source builds.
Summarizing that issue: we can't build LLVM.jl's C++ deps because of C++. We need to build it in the same environment LLVM (and thus Julia) was built in. During JuliaCon @staticfloat hacked the buildbot to allow to build those LLVM.jl deps, but AFAIK that buildbot isn't used to build Julia yet so this won't help us. IIUC the proper solution is Bindeps2, but I have no idea how that's progressing (as in, I know the package is somewhat usable already, but I don't know what kind of environment it is building with -- this is very important for LLVM.jl because of the aforementioned C++ issues).
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Related Issues (20)
- CUDAnative failed to initialize, no CUPTI provided HOT 2
- CUDAnative.fma performance problems HOT 4
- Better error if exclusive device is already in use HOT 1
- C++ compatible name mangling HOT 3
- WMMA examples always execute HOT 2
- Better warning on CUPTI insufficient permissions
- shfl does not like Bool HOT 2
- On Julia master: "Warning: Incompatibility detected between CUDA and LLVM 8.0+; disabling debug info emission for CUDA kernels" HOT 1
- Performance regression with new mapreduce HOT 1
- Errors in CUDAnative unit tests HOT 1
- WMMA tests fail on julia-debug HOT 6
- Cthulhu integration HOT 3
- Racy initializing HOT 1
- Can't access GPUs, get "ERROR: CUDA error: invalid device context (code 201, ERROR_INVALID_CONTEXT)" HOT 5
- 'Symbol "__nv_exp"not found' on Jetson Xavier NX HOT 4
- Is there a `@cushow` macro? HOT 7
- Initializing static shared memory with function argument HOT 1
- Atomic operations on shared memory HOT 3
- PTX JIT compilation issue: Call to gpu_report_oom has wrong number of parameters HOT 9
- Warning: `haskey(::TargetIterator, name::String)` is deprecated HOT 1
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