I’ve been away from Julia for several months, and have been rerunning GPU code from this past summer on a new installation of Jula 1.5.3 and CUDA.jl (previously I used the separate CUDA packages). My subset sum program now runs much slower (3 1/3 sec compared to 159 ms): julia> s = rand(1:10000000,…

OK, that looks like a bug then, please file an issue (with a fully reproducible example, etc). You could always try to reduce some more or profile individual operations to see where the issue is.

Performance regression with GPUArrays subset sum

Specific Domains GPU

maleadt November 25, 2020, 9:07pm 2

Did you disable scalar iteration? Workflow · CUDA.jl

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Performance regression with GPUArrays subset sum

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