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Compiler Design (40-414) Main Text Book:

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Presentation on theme: "Compiler Design (40-414) Main Text Book:"— Presentation transcript:

1 Compiler Design (40-414) Main Text Book:
Compilers: Principles, Techniques & Tools, 2nd ed., Aho, Lam, Sethi, and Ullman, 2007 Evaluation: Midterm Exam % Final Exam % Assignments and Quizzes 10% Project %

2 Compiler learning Isn’t it an old discipline?
Yes, it is a well-established discipline Algorithms, methods and techniques were developed in early stages of computer science There are many compilers around, and many tools to generate them automatically So, why we need to learn it? Although you may never write a full compiler But the techniques we learn is useful in many tasks like: writing an interpreter for a scripting language, validation checking for forms, and so on

3 Terminology Compiler:
a program that translates an executable program in a source language (usually high level) into an equivalent executable program in a target language (usually low level) Interpreter: a program that reads an executable program and produces the results of running that program usually, this involves executing the source program in some fashion Our course is mainly about compilers but many of the same issues arise in interpreters

4 A Compiler Source Target Compiler Program Program Errors
Target Progtam Output Input

5 An Interpreter Source Program Interpreter Output Input
Translates line by line Executes each translated line immediately Execution is slower because translation is repeated But, usually give better error diagnostics than a compiler

6 A Hybrid Compiler Source Translator Program Errors Intermediate
Virtual Machine Input Output

7 Classifications of Compilers
There are different types of Compilers: Single Pass Multiple Pass Construction Absolute (e.g., *.com) Relocateable (e.g., *.exe) Type of produced code

8 The Many Phases of a Compiler
Source Program 1 Lexical analyzer Analyses 2 Syntax Analyzer 3 Semantic Analyzer Intermediate Code Generator Symbol-table Manager 4 Error Handler 5 Code Optimizer Syntheses 6 Code Generator 7 Peephole Optimization 1, 2, 3, 4, 5 : Front-End 6, 7 : Back-End Target Program

9 Front-end, Back-end division
IR Back end Source code Machine code errors Front end maps legal code into IR Back end maps IR onto target machine Simplifies retargeting Allows multiple front ends

10 Front end Scanner tokens Parser Source code Parse Tree errors Scanner:
Maps characters into tokens – the basic unit of syntax x = x + y becomes <id, x> = <id, x> + <id, y> Typical tokens: number, id, +, -, *, /, do, end Eliminate white space (tabs, blanks, comments) A key issue is speed so instead of using a tool like LEX it sometimes needed to write your own scanner

11 Front end Scanner tokens Parser Source code Parse Tree errors Parser:
Recognize context-free syntax Guide context-sensitive analysis Construct IR Produce meaningful error messages Attempt error correction There are parser generators like YACC which automates much of the work

12 Front end Context free grammars are used to represent programming language syntaxes: <expr> ::= <expr> <op> <term> | <term> <term> ::= <number> | <id> <op> ::= + | -

13 Front end A parser tries to map a program to the syntactic elements defined in the grammar A parse can be represented by a tree called a parse or syntax tree

14 Front end A parse tree can be represented more compactly referred to as Abstract Syntax Tree (AST) AST can be used as IR between front end and back end

15 Back end Translate IR into target machine code
Instruction selection Register Allocation Machine code IR errors Translate IR into target machine code Choose instructions for each IR operation Decide what to keep in registers at each point

16 Peephole Optimization
Back end Code Generation Peephole Optimization Machine code IR errors Produce compact fast code Use available addressing modes

17 Peephole Optimization
Back end Code Generation Peephole Optimization Machine code IR errors Limited resources Optimal allocation is difficult

18 The Analysis Task For Compilation
Three Phases: Lexical Analysis: Left-to-right Scan to Identify Tokens token: sequence of chars having a collective meaning Syntax Analysis: Grouping of Tokens Into Meaningful Collection Semantic Analysis: Checking to ensure Correctness of Components

19 Phase 1. Lexical Analysis
Easiest Analysis - Identify tokens which are the basic building blocks For Example: Position := initial + rate * 60 ; _______ __ _____ _ ___ _ __ _ All are tokens Blanks, Line breaks, etc. are scanned out

20 Phase 2. Syntax Analysis or Parsing
For previous example, we would have Parse Tree: identifier expression number assignment statement position := + * 60 initial rate Nodes of tree are constructed using a grammar for the language

21 Phase 3. Semantic Analysis
Finds Semantic Errors One of the Most Important Activity in This Phase: Type Checking - Legality of Operands position initial rate := + * inttoreal 60 position initial rate := + * 60 Syntax Tree Conversion Action

22 Supporting Phases/ Activities for Analysis
Symbol Table Creation / Maintenance Contains Info (storage, type, scope, args) on Each “Meaningful” Token, Typically Identifiers Data Structure Created / Initialized During Lexical Analysis Utilized / Updated During Later Analysis & Synthesis Error Handling Detection of Different Errors Which Correspond to All Phases What Happens When an Error Is Found?

23 The Synthesis Task For Compilation
Intermediate Code Generation Abstract Machine Version of Code - Independent of Architecture Easy to Produce and Do Final, Machine Dependent Code Generation Code Optimization Find More Efficient Ways to Execute Code Replace Code With More Optimal Statements Final Code Generation Generate Relocatable Machine Dependent Code Peephole Optimization With a Very Limited View Improves Produced Final Code

24 Reviewing the Entire Process
position := initial + rate * 60 lexical analyzer id1 := id2 + id3 * 60 syntax analyzer := id1 id2 id3 + * 60 semantic analyzer := id1 id2 id3 + * inttoreal 60 Symbol Table Errors position .... initial …. rate…. intermediate code generator

25 Reviewing the Entire Process
Symbol Table position .... initial …. rate…. Errors intermediate code generator t1 := inttoreal(60) t2 := id3 * t1 temp3 := id2 + t2 id1 := t3 3 address code code optimizer t1 := id3 * 60.0 id1 := id2 + t1 final code generator MOVF id3, R2 MULF #60.0, R2 MOVF id2, R1 ADDF R1, R2 MOVF R1, id1


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