From 7e1549281b83a450d53c2a367d1635ea865c65fa Mon Sep 17 00:00:00 2001 From: Mason Protter Date: Sun, 28 Jan 2024 22:34:28 +0100 Subject: [PATCH] try that --- README.md | 22 +++++++++++++++------- 1 file changed, 15 insertions(+), 7 deletions(-) diff --git a/README.md b/README.md index 30dcba1e..68b3549e 100644 --- a/README.md +++ b/README.md @@ -6,9 +6,9 @@ This is meant to be a simple, unambitious package that provides basic, user-frie multithreaded calculations via higher-order functions, with a focus on [data parallelism](https://en.wikipedia.org/wiki/Data_parallelism). It re-exports the very useful function `chunks` from [ChunkSplitters.jl](https://github.com/m3g/ChunkSplitters.jl), and -provides the following functions +provides the following functions: -
`tmapreduce` +
tmapreduce

tmapreduce(f, op, A::AbstractArray; @@ -46,7 +46,9 @@ needed if you are using a `:static` schedule, since the `:dynamic` schedule is u

-
`treducemap` +____________________________________ + +
treducemap

treducemap(op, f, A::AbstractArray; @@ -85,7 +87,9 @@ needed if you are using a `:static` schedule, since the `:dynamic` schedule is u

-
`treduce` +____________________________________ + +
treduce

@@ -124,7 +128,7 @@ needed if you are using a `:static` schedule, since the `:dynamic` schedule is u

-
`tforeach` +
tforeach

tforeach(f, A::AbstractArray; @@ -144,7 +148,9 @@ Apply `f` to each element of `A` on multiple parallel tasks, and return `nothing

-
`tmap` +____________________________________ + +
tmap

@@ -166,7 +172,9 @@ A multithreaded function like `Base.map`. Create a new container `similar` to `A

-
`tmap!` +____________________________________ + +
tmap!

tmap!(f, out, A::AbstractArray;