From a4c36f1b03a0777cca149185b213853622d6848c Mon Sep 17 00:00:00 2001
From: Mirek Kratochvil <miroslav.kratochvil@uni.lu>
Date: Tue, 7 Jun 2022 09:53:32 +0200
Subject: [PATCH] fixes
---
.../slides/distributed.md | 15 ++++++--
.../slides/index.md | 3 +-
.../slides/language.md | 35 ++++++++-----------
3 files changed, 28 insertions(+), 25 deletions(-)
diff --git a/2022/2022-06-08_JuliaForNewcomers/slides/distributed.md b/2022/2022-06-08_JuliaForNewcomers/slides/distributed.md
index f3aa4d88..a1266a21 100644
--- a/2022/2022-06-08_JuliaForNewcomers/slides/distributed.md
+++ b/2022/2022-06-08_JuliaForNewcomers/slides/distributed.md
@@ -25,10 +25,17 @@
# Basic parallel processing
-**Using Threads:**
+**Using `Threads`:**
1. start Julia with parameter `-t N`
-2. parallelize any loops with `Threads.@threads`
+2. parallelize (some) loops with `Threads.@threads`
+
+```julia
+a = zeros(100000)
+Threads.@threads for i = eachindex(a)
+ a[i] = hardfunction(i)
+end
+```
**Using `Distributed`:**
@@ -38,6 +45,8 @@ addprocs(N)
newVector = pmap(function, oldVector)
```
+We will use the `Distributed` approach.
+
# How to design for parallelization?
@@ -53,7 +62,7 @@ newVector = pmap(function, oldVector)
- parallelize programs using `pmap` and `dmapreduce` (DistributedData.jl)
- Decompose more advanced programs into *tasks with dependencies*
- Dagger.jl
- - `make -jN` is a surprisingly good tool for parallelization!
+ - `make -jN` may be a surprisingly good tool for parallelization!
diff --git a/2022/2022-06-08_JuliaForNewcomers/slides/index.md b/2022/2022-06-08_JuliaForNewcomers/slides/index.md
index 1bd50717..77e313d8 100644
--- a/2022/2022-06-08_JuliaForNewcomers/slides/index.md
+++ b/2022/2022-06-08_JuliaForNewcomers/slides/index.md
@@ -22,8 +22,9 @@
<style>
code {border: 2pt dotted #f80; padding: .4ex; border-radius: .7ex; color:#444; }
- pre code {border: 0;}
+ .reveal pre code {border: 0; font-size: 18pt; line-height:27pt;}
em {color: #e02;}
li {margin-bottom: 1ex;}
div.leader {font-size:400%; font-weight:bold; margin: 1em;}
+ section {padding-bottom: 10em;}
</style>
diff --git a/2022/2022-06-08_JuliaForNewcomers/slides/language.md b/2022/2022-06-08_JuliaForNewcomers/slides/language.md
index fc334924..e5d1d904 100644
--- a/2022/2022-06-08_JuliaForNewcomers/slides/language.md
+++ b/2022/2022-06-08_JuliaForNewcomers/slides/language.md
@@ -12,38 +12,28 @@ Expressions and types You can discover types of stuff using `typeof`.
Common types:
- `Bool`
-
```julia
false, true
```
-
- `Char`
-
```julia
'a', 'b', ...
```
-
- `String`
-
```julia
"some random text"
```
-
- `Int`
-
```julia
-1, 0, -1, …
+1, 0, -1, ...
```
-
- `Float64`
-
```julia
- 1.1, -1e6, ...
+ 1.1, 0, -1, ...
```
-
# Types may have parameters (usually "contained type")
- `Vector{Int}`
@@ -76,7 +66,7 @@ false, true
Types possess a single supertype, which allows you to easily group
multiple types under e.g. `Real`, `Function`, `Type`, `Any`, ...
-```julia
+<pre style="font-size: 90%; line-height:120%;"><code class="language-julia hljs">
julia> Int
Int64
@@ -94,9 +84,9 @@ Number
julia> Int.super.super.super.super.super
Any
-```
-These are useful when restricting what can go into your functions!
+</code></pre>
+Useful for restricting your functions to work on reasonable subsets of inputs.
@@ -345,12 +335,15 @@ person["age"]
indexof(v::Vector) = Dict(v .=> eachindex(v))
```
-- Sets are value-less dictionaries.
+- Sets are value-less dictionaries (i.e., the elements are unique keys)
```julia
-function unique(x)
- elems = Set{eltype(x)}()
- push!.(Ref(elems), x)
- return collect(elems)
-end
+julia> x=Set([1,2,3,2,1]);
+julia> println(x)
+Set([2, 3, 1])
+
+julia> push!(x,5);
+julia> push!(x,5);
+julia> println(x)
+Set([5, 2, 3, 1])
```
--
GitLab