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"Julia v1.7 is also the first release which runs on Apple Silicon, for example the M1 family of ARM CPUs. " I hope those benchmarks are coming in hot
by savant_penguin 5y ago
"Julia v1.7 is also the first release which runs on Apple Silicon, for example the M1 family of ARM CPUs. "
I hope those benchmarks are coming in hot
- LolWolf 5y agoStill Tier 3 support, but hopefully it'll be Tier 1 very soon :) (As far as I know, the community is really working on it! And I'm phenomenally excited)
- spekcular 5y agoI'm extremely excited about this. But there still many problems, for example a ton of tests failing. For example: https://github.com/JuliaLang/julia/issues/43164 https://github.com/JuliaLang/julia/issues/43164.
- adgjlsfhk1 5y agoYeah, please file bugs if you find them!
- ChrisRackauckas 5y ago>I hope those benchmarks are coming in hot M1 is extremely good for PDEs because of its large cache lines. https://github.com/SciML/DiffEqOperators.jl/issues/407#issuecomment-862807968 https://github.com/SciML/DiffEqOperators.jl/issues/407#issue... The JuliaSIMD tools which are internally used for BLAS instead of OpenBLAS and MKL (because they tend to outperform standard BLAS's for the operations we use https://github.com/YingboMa/RecursiveFactorization.jl/pull/28#issuecomment-890267907 https://github.com/YingboMa/RecursiveFactorization.jl/pull/2...) also generate good code for M1, so that was giving us some powerful use cases right off the bat even before the heroics allowed C/Fortran compilers to fully work on M1.