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dkim=fail ("headers rsa verify failed") header.d=gmail.com header.s=20221208 header.b=Eb++oXVQ; spf=pass (aspmx1.migadu.com: domain of "guix-patches-bounces+larch=yhetil.org@gnu.org" designates 209.51.188.17 as permitted sender) smtp.mailfrom="guix-patches-bounces+larch=yhetil.org@gnu.org"; dmarc=fail reason="SPF not aligned (relaxed)" header.from=gmail.com (policy=none) X-TUID: fyC8Q6lnMXah Hi Andreas, On ven., 14 avril 2023 at 17:20, Andreas Enge wrote: > It passed on berlin, and I pushed the patch, thanks! This is frightening > and quite unreasonable. If julia needs more than 16GB of main memory to > build, it will pass on our aarch64 machines with 32GB of memory, but not > on most boards limited to 4GB. Julia requires more than 4GB =E2=80=93 currently the 8GB of my laptop are f= ull and extended by 6GB of swap; still building and maybe will fail =E2=80=94 a= nd supports these platform: x86-64 (64-bit)=20=20 i686 (32-bit)=20=20=20=20=20=20=20=20=20=20 ARMv8 (64-bit)=20=20=20=20=20=20=20=20=20=20 ARMv7 (32-bit)=20=20=20=20=20=20=20=20=20=20 PowerPC (64-bit)=20=20 CUDA 10.1 Nvidia CUDA (64-bit) ROCM AMD ROCM (64-bit)=20=20 oneAPI Intel oneAPI (64-bit) https://julialang.org/downloads/#supported_platforms Upstream provides binaries for these. AFAIK, for most of them, Julia is cross-compiled and not natively compiled. Well, I am still missing the point to natively compile on limited boards. Having substitutes running on non-x86_64 architectures is one thing, directly build on these non-x86_64 architectures is another. (I am not saying that direct builds on these non-x86_64 architectures is not interesting by itself but that I miss the aim of such for some heavy packages as Julia or GHC or else.) Cheers, simon