# Tachyum processor with Julia

**URL:** https://discourse.julialang.org/t/tachyum-processor-with-julia/11124
**Category:** Offtopic
**Created:** [May 24, 2018, 8:48am UTC](https://discourse.julialang.org/t/tachyum-processor-with-julia/11124 "2018-05-24T08:48:37Z")
**Posts on this page:** 1
**Showing post:** 17

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### Author: ![Palli](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/palli/32/3380_2.png) [@Palli](https://discourse.julialang.org/u/Palli)
#### Post date: [August 24, 2022, 2:14pm UTC](https://discourse.julialang.org/t/tachyum-processor-with-julia/11124/17 "2022-08-24T14:14:03Z")

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@elrod [are you only working on dense?]  
This (likely) “sparsity 133/8 = 16.625” got got me thinking, how would you design hardware (or software, maybe we can do better for Julia) for sparse matrices? What I had written here, since off-topic here(?) moved elsewhere:

> [@A flexible sparse matrix data format and parallel algorithms for the assembly of sparse matrices in general finite element applications using atomic synchronisation primitives](https://discourse.julialang.org/t/a-exible-sparse-matrix-data-format-and-parallel-algorithms-for-the-assembly-of-sparse-matrices-in-general-nite-element-applications-using-atomic-synchronisation-primitives/86339/2):
>
> Unlike the above, below is just my speculation (that I moved from other thread, since maybe a bit off-topic there): @elrod [are you only working on dense?] This (likely) “sparsity 133/8 = 16.625” got got me thinking, how would you design hardware (or software, maybe we can do better for Julia) for sparse matrices. I’m guessing matrices are split up into 4x4=16-sized blocks/submatrices (would 1x16 for one matrix and 16x1 be better for the other you are multiplying, or maybe 2x8 etc.?). If yo…

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