# Distributed computing of x = A \\ b

**URL:** <https://discourse.julialang.org/t/distributed-computing-of-x-a-b/12716>\
**Category:** Julia at Scale\
**Created:** [July 29, 2018, 1:37am UTC](https://discourse.julialang.org/t/distributed-computing-of-x-a-b/12716 "2018-07-29T01:37:20Z")\
**Posts on this page:** 1\
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**Author:** ![simonbyrne](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/simonbyrne/32/19_2.png) [@simonbyrne](https://discourse.julialang.org/u/simonbyrne)\
**Post date:** [July 29, 2018, 5:41am UTC](https://discourse.julialang.org/t/distributed-computing-of-x-a-b/12716/4 "2018-07-29T05:41:14Z")

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Also, `p = 0.5` is _way_ too high for typical uses of sparse matrices: see [this discussion](https://discourse.julialang.org/t/special-method-for-finding-eigenvalues-of-a-large-sparse-symmetric-matrix/9621/13).

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