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inJuliaLang/julia (press backspace or delete to remove)It d be great to get good support for SVE, especially as SVE2 will become standard for ARMv9.
However, early tests with using LLVM vector intrinsics on the A64FX did not go well. Here is a minimal ...
compiler:codegen
compiler:simd
system:arm
chriselrod
- 12
- Opened on Apr 2, 2021
- #40308
stemannOkay, I get the correct results on macOS (x86), linux (arm, A64FX), but can confirm that there s a bug on linux x86.
float16
maths
goualard-f
- 12
- Opened on Apr 2, 2021
- #40315
Keno... : libopenlibm
LLVM: libLLVM-14.0.6 (ORCJIT, a64fx)
Threads: 1 on 48 virtual cores
Environment:
JULIA_LLVM_ARGS = -aarch64-sve-vector-bits-min=512
Also, there is generally no need to use -aarch64-sve-vector-bits-min=512 anymore, autovectorisation works well
out-of-the-box with LLVM 14 (Julia v1.9+)
randomness
system:arm
giordano
- 4
- Opened on Feb 19, 2022
- #44263
pengtuOn arm s A64fx (i.e. aarch64) the official release (Julia 1.6) converts Float16s to Float32 for arithmetics, although
A64fx natively supports Float16
julia a,b = rand(Float16,2);
julia @code_llvm ...
float16
system:arm
milankl
- 12
- Opened on Mar 26, 2021
- #40216
vchuravy... )
CPU: unknown
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-12.0.1 (ORCJIT, a64fx)
Environment:
JULIA_LLVM_ARGS = --aarch64-sve-vector-bits-min=512
julia minimum([1])
LLVM ERROR: Cannot ...
compiler:llvm
system:arm
upstream
- 4
- Opened on Mar 2, 2022
- #44401
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