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A warm welcome to

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the compilers and formal

languages module?

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My name is Christian Urban.

Thank you for coming.

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Compilers. I guess

you use compilers

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in your daily work, be it

the C or Java compiler.

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And you might be curious

in what they do.

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But you might also be

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intimidated to look

what they do underneath

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the bonnet because they are

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quite large software systems.

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What I like to show you in

this module is that you

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do not need to be an

Über hacker to implement your own

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compiler for your

own language, say.

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So that will be the main

goal of this module.

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You will implement

your own compiler,

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of course with my help.

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What I personally like

about compilers is that

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the subject is a

perfect combination

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of theory and practice.

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I like to hack things,

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writing actual code,

but I also like theory.

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I want to understand what

my code actually does.

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So compilers are the

perfect subject for me.

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Let's have a look at the details.

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Here's an airplane

view of a compiler.

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On the left-hand side you can see

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the input program a

developer would write.

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And on the right-hand side is

the output of the compiler,

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the binary code the developer

wants to actually run.

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What makes such a project

actually feasible is that

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compilers fall neatly into

separate components.

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So you can see the lexer and the

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parser, which are often called the

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front end of the compiler.

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And the code generation is

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called the backend

of the compiler.

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And it so happens

that we will spend

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the first five weeks

on the lexer and

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the parser, and the next five

weeks on the code generator.

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The first component of the

compiler is the lexer.

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The purpose of the lexer

is to scan a flat

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string, which the

input program is at

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the beginning and separate out

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where are the words?

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You might think

in Western languages,

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that is very easy:

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you just try to

find out where are

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the whitespaces

and then you know,

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where one word stops and

where the next word begins.

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But, actually, computer

languages are more

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like ancient languages

that you see here.

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For example, ancient Greek.

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The writer wrote one word

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after the next and not

leaving any space.

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So for example, in this

very simple string here

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read n, there is no space at all.

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But the purpose of

the lexer is to

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separate it into five

different components.

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It has to first say,

well there is a read,

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then there is a left parenthesis,

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then there's an

identifier called n,

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then there's a right parenthesis,

and finally a semicolon.

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And as you can see, there

is no space here at all.

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And so the task of finding where

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are the words is actually

quite involved.

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Also the classification is

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sometimes not so straightforward.

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If, for example, a writer

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wrote "if" on its own,

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then this should be a

keyword classified as

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a keyword because it's

from the if-then-else.

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But if the developer wrote

something longer like "iffoo",

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then this might just be

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a strange variable name

and he needs to be

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classified as a variable name.

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The output of the lexer 

is a sequence of tokens.

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These are essentially the words in

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a sentence and their

classification:

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they are nouns,

verbs or adjectives.

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For us, of course, the

classification would be keywords,

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identifiers,

operators, and so on.

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And these tokens are the

input for the parser,

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the next component in

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our compiler. The parser

essentially takes this list

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of tokens and transforms it

into a abstract syntax tree.

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That means we have now the

sentence, we have the words.

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We have to relate

the words to each other

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in order to find out what

this sentence actually means.

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In this case here,

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we have to do a read...which

variable is affected?

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The variable n. Once we have

the abstract syntax tree,

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it can go to the next component,

to the code generator.

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Whilst it doesn't look

like this in this picture,

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the code generators is usually the

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biggest part in a compiler.

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And here we actually

have to cut corners.

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Instead of producing binary

code, which can be run

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directly on a CPU, like X86 or ARM,

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we actually target the

Java Virtual Machine, the JVM.

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This is very similar

to the Scala compiler,

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for example, which

produces JVM code.

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Or, of course, also 

the Java compiler,

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which produces JVM code.

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So here's a typical

example code which we're

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going to produce: Something

like variable 2

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gets allocated in the stack.

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You subtract ten from it.

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You test whether the

variable is 0 and if yes,

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you jump somewhere and otherwise

you reload the variable.

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Even though we cut corners

into could generate apart.

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By producing code for the JVM,

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we can still obtain quite

impressive results.

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Here's a program with

a cubic runtime behaviour.

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