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;