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DilumAluthge merged 3 commits into from
Jan 24, 2021
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README: Mention the strengths of Octavian and Tullio respectively #75

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Mention the strengths of Octavian and Tullio respectively
DilumAluthge Jan 22, 2021
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Update Project.toml
DilumAluthge Jan 23, 2021
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Merge branch 'master' into dpa/readme-tullio-octavian
DilumAluthge Jan 23, 2021
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2 changes: 1 addition & 1 deletion Project.toml
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Original file line number Diff line number Diff line change
@@ -1,7 +1,7 @@
name = "Gaius"
uuid = "bffe22d1-cb55-4f4e-ac2c-f4dd4bf58912"
authors = ["MasonProtter <[email protected]>"]
version = "0.6.0"
version = "0.6.2"

[deps]
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
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10 changes: 7 additions & 3 deletions README.md
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Expand Up @@ -23,13 +23,17 @@ Gaius's routines may be fearlessly nested inside multi-threaded Julia programs.
Gaius is *not* stable or well tested. Only use it if you're adventurous.

Note: Gaius is not actively maintained and I do not anticipate doing further
work on it. There are other, more promising projects that may result in a
work on it. However, you may find it useful as a relatively simple playground
for learning about the implementation of linear algebra routines.

There are other, more promising projects that may result in a
scalable, multi-threaded pure Julia BLAS library such as:
1. [Tullio.jl](https://github.com/mcabbott/Tullio.jl)
2. [Octavian.jl](https://github.com/JuliaLinearAlgebra/Octavian.jl)

However, you may find this library useful as a relatively simple playground
for learning about the implementation of linear algebra routines.
In general:
- Octavian is the most performant.
- Tullio is the most flexible.

## Quick Start

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