# Most efficient implementation of covariance matrix

**URL:** <https://discourse.julialang.org/t/most-efficient-implementation-of-covariance-matrix/114797>\
**Category:** Performance\
**Tags:** statistics, multithreading, nerdsnipe, cov, covariance-matrix\
**Created:** [May 27, 2024, 6:49pm UTC](https://discourse.julialang.org/t/most-efficient-implementation-of-covariance-matrix/114797 "2024-05-27T18:49:29Z")\
**Posts on this page:** 1\
**Showing post:** 10

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**Author:** ![gdalle](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/gdalle/32/27854_2.png) [@gdalle](https://discourse.julialang.org/u/gdalle)\
**Post date:** [May 27, 2024, 9:35pm UTC](https://discourse.julialang.org/t/most-efficient-implementation-of-covariance-matrix/114797/10 "2024-05-27T21:35:41Z")

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Could this be linked to the weird interactions between Julia threads and BLAS threads?

[https://docs.julialang.org/en/v1/manual/performance-tips/#man-multithreading-linear-algebra](https://docs.julialang.org/en/v1/manual/performance-tips/#man-multithreading-linear-algebra)

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