Why oneAPI.jl array addition is slow? julia> using BenchmarkTools, oneAPI julia> c = rand(100,100); julia> @btime $c.+1 4.950 μs (3 allocations: 78.21 KiB) julia> a = oneArray(rand(100,100)); julia> @btime $a.+1 423.117 μs (526 allocations: 63.27 KiB)

Three (possible) reasons: Your array is small. Your are likely measuring what it costs to launch the broadcast. if you want best performance, use a kernel. oneAPI.jl is by far not yet as optimized as CUDA.jl. However, once you get beyond the overhead the raw compute performance in Julia on Intel …

Array addition of oneAPI.jl slower

General Usage Performance

raman_kumar November 10, 2025, 5:08pm 5

Yes, But KernelAbstractions.jl don’t have documentations to start with. Will KernelAbstractions.jl be slower than oneAPI.jl due to overhead of converting code etc.?

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Array addition of oneAPI.jl slower

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