# \#cpu

**URL:** https://discourse.julialang.org/tag/cpu/1634.md

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## [Warning: Runtime invalidation was disabled, but the CPU info is out-of-date](https://discourse.julialang.org/t/warning-runtime-invalidation-was-disabled-but-the-cpu-info-is-out-of-date/134519)

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**Author:** [@Ju\_ska](https://discourse.julialang.org/u/Ju_ska)\
**Replies:** 2\
**Last updated:** [March 20, 2026, 11:43am UTC](https://discourse.julialang.org/t/warning-runtime-invalidation-was-disabled-but-the-cpu-info-is-out-of-date/134519 "2026-03-20T11:43:31Z")

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Hi, I’m using the $JULIA\_CPU\_TARGET variable with Julia 1.12.2. Some time ago, I started to get this message when updating the packages: HostCPUFeatures │ ┌ Warning: Runtime invalidation was disabled, but the CPU in…

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## [Cache sizes getting smaller (some, i.e. L1; though not per core-cache) for AMD (unlike for Apple), for multi-threading?](https://discourse.julialang.org/t/cache-sizes-getting-smaller-some-i-e-l1-though-not-per-core-cache-for-amd-unlike-for-apple-for-multi-threading/125258)

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**Author:** [@Palli](https://discourse.julialang.org/u/Palli)\
**Replies:** 6\
**Last updated:** [February 9, 2025, 10:58pm UTC](https://discourse.julialang.org/t/cache-sizes-getting-smaller-some-i-e-l1-though-not-per-core-cache-for-amd-unlike-for-apple-for-multi-threading/125258 "2025-02-09T22:58:25Z")

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Apple M1 was an impressive chip with for L1 cache (and those numbers matter, not just the larger MB-sized numbers people like to promote for L2+): Performance cores 192+128 KiB per core Efficiency cores 128+64 KiB p…

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## [Is there a package for monitoring Julia CPU mean usage?](https://discourse.julialang.org/t/is-there-a-package-for-monitoring-julia-cpu-mean-usage/117094)

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**Author:** [@K5Julien](https://discourse.julialang.org/u/K5Julien)\
**Replies:** 2\
**Last updated:** [November 8, 2024, 10:57am UTC](https://discourse.julialang.org/t/is-there-a-package-for-monitoring-julia-cpu-mean-usage/117094 "2024-11-08T10:57:13Z")

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Julia doesn’t seem to exist and thus doesn’t report CPU usage. I do not know if it is an issue related to the .sh script or to Julia Pardon-me if it is not Julia related, and let me know, I’ll ask StackExchange instead. …

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## [Julia performance on the same task on different CPUs and OSs](https://discourse.julialang.org/t/julia-performance-on-the-same-task-on-different-cpus-and-oss/117916)

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**Author:** [@kobusherbst](https://discourse.julialang.org/u/kobusherbst)\
**Replies:** 8\
**Last updated:** [August 18, 2024, 4:57am UTC](https://discourse.julialang.org/t/julia-performance-on-the-same-task-on-different-cpus-and-oss/117916 "2024-08-18T04:57:22Z")

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The workload Arrow files with 250K individuals and 3M education status observations Read into memory as DataFrames, join individual records with education status observations. Group resulting data frame by individual a…

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## [Julia on ARM64 Windows?](https://discourse.julialang.org/t/julia-on-arm64-windows/117293)

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**Author:** [@be5invis](https://discourse.julialang.org/u/be5invis)\
**Replies:** 4\
**Last updated:** [July 22, 2024, 2:14am UTC](https://discourse.julialang.org/t/julia-on-arm64-windows/117293 "2024-07-22T02:14:59Z")

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I am wondering how hard is to support ARM64 Windows for Julia. Natively, not through emulation. Some information that I know: LLVM do have support for ARM64 Windows. The only Fortran compiler that could target ARM64 …