Compilation 2009 Domain-Specific Languages Syntax Extensions
|
|
- Ashlynn Marilyn Franklin
- 6 years ago
- Views:
Transcription
1 Compilation 2009 Syntax Extensions Jan Midtgaard Michael I. Schwartzbach Aarhus University
2 GPL Problem Solving The General Purpose Language (GPL) approach: analyze the problem domain express the conceptual model as an OO/ design program a framework/library express concrete application as framework/library client Pros: predictable and familiar result (relatively) low cost of implementation Cons: difficult to fully exploit domain-specific knowledge only available to general programmers 2
3 DSL Problem Solving The DSL approach: analyze the problem domain express the conceptual model as a language design implement a compiler or interpreter Pros: possible to exploit all domain-specific knowledge also available to domain experts Cons: (relatively) high cost of implementation risk of Babylonian confusion hard to combine DSLs or DSL and GPL developed this way 3
4 Variations of DSLs A stand-alone DSL: a novel language with unique syntax and features example: LaTeX An embedded DSL: an existing GPL extended with DSL features example: JSP An external DSL: a stand-alone DSL invoked from a GPL example: SQL invoked from Java (JDBC) 4
5 From DSL to GPL A stand-alone DSL may evolve into a GPL: Fortran Formula Translation Algol Algorithmic Language Cobol Common Business Oriented Language Lisp List Processing Language Simula Simulation Language ML Meta Language A (successful) DSL design should plan for growth 5
6 Using Domain-Specific Knowledge Domain-specific syntax: directly denote high-level concepts domain-specific syntax clarifies the behavior Domain-specific analysis: consider global properties of the application Domain-specific optimization: exploit domain-specific analysis results GPL frameworks cannot provide these benefits 6
7 The Joos Peephole Language A stand-alone DSL: no general-purpose computing is required Domain concepts: bytecodes patterns templates Implemented using: a parser a static checker an interpreter 7
8 DSL Syntax for Peepholes pattern dup_istore_pop x: x ~ dup istore (i0) pop -> 3 istore (i0) 8
9 GPL Syntax Alternative boolean dup_istore_pop(instructionlist x) { int i0; if (is_dup(x) && is_istore(x.next) && is_pop(x.next.next)) { i0 = (int)x.next.getarg(); x = replace(x,3,new Arraylist().add(new Iistore(i0))); return true; } return false; } Much harder to write correctly Fixed implementation strategy 9
10 DSL Analysis for Peepholes Formal type and scope rules: - E: bytecodes[ '] - P[ ' ''] - E ~ P: boolean[ ''] - E: boolean[ '] -! E: boolean[ '] - E 1 : boolean[ '] - E 2 : boolean[ ' ''] - E 1 && E 2 : boolean[ ''] This is checked by a phase in the DSL interpreter 10
11 GPL Analysis Alternative Lots of yellow PostIt notes: These cannot be checked by the Java compiler 11
12 The JWIG Language An embedded DSL (in Java): lots of general-purpose computing is required Domain concepts: XML templates Web services sessions Implemented using: a syntax extension a static analysis a framework 12
13 DSL Syntax for JWIG public class test extends Service { } String userid; public class Login extends Session { XML wrap = [[<html> <body bgcolor="yellow"> <[contents]> </body> </html>]]; public void main() { XML login = [[<form> Userid: <input type="text" name="userid"> <input type="submit"/> </form>]]; show wrap<[contents = login]; userid = receive userid; show wrap<[contents = "Welcome "+userid]; } } 13
14 GPL Syntax Alternative XML login = XML.make("<form>\nUserid: <input type=\"text\" name=\"userid\">\n<input type="submit"/>\</form>"); show(wrap.plug("contents",login)); userid = receive("userid"); The DSL syntax maps directly to methods calls in an underlying Java framework Avoiding escapes makes the syntax more legible But this is just a thin layer of syntactic sugar 14
15 DSL Analysis for JWIG A static analysis that at compile time guarantees: only well-formed and valid XML is ever generated only existing form fields are ever received only exisiting gaps are ever plugged This is a DSL analysis that is performed on the resulting compiled class files 15
16 JWIG Implementation Model JWIG syntax jwigc Java syntax javac.class files jwiga JWIG framework analysis results 16
17 Syntax Extensions Programmers may want to extend the syntax of their programming language: introduce domain-specific syntax abbreviate common idioms define language extensions ensure consistency Such extensions are introduced through macros 17
18 Macros Macros are as old as programming Is used as an orthogonal abstraction mechanism Two different flavors: lexical macros syntactic macros Main Entry: 2 macro Pronunciation: 'ma-(")kro Function: noun Inflected Form(s): plural macros Etymology: short for macroinstruction Date: 1959 a single computer instruction that stands for a sequence of operations 18
19 Lexical Macros Operate on sequences of tokens Are handled by a preprocessor Are independent of the host language syntax Examples: CPP TeX 19
20 CPP - The C Preprocessor Integrated into C compilers Also works as a stand-alone expander Intercepts directives such as: #define #undef #ifdef #if #include 20
21 Lexical Macro Example CPP macro to square a number: #define square(x) X * X square(z + 1) z + 1 * z
22 Lexical Macro Example CPP macro to square a number: #define square(x) X * X square(z + 1) z + (1 * z) + 1 Adding parentheses as a hack: #define square(x) (X) * (X) square(z + 1) (z + 1)*(z + 1) 22
23 Parsing Problem #define swap(x,y) { int t=x; X=Y; Y=t; } if (a > b) swap(a,b); else b=0; *** test.c:3: parse error before 'else' 23
24 Parsing Problem Hack #define swap(x,y) { int t=x; X=Y; Y=t; } if (a > b) swap(a,b); else b=0; *** test.c:3: parse error before 'else' #define swap(x,y) do { int t=x; X=Y; Y=t; } while (0) if (a > b) swap(a,b); else b=0; 24
25 Expansion Time #define A 87 #define B A #undef A #define A 42 B??? Eager expansion (definition time): B 87 Lazy expansion (invocation time): B A 42 CPP is lazy 25
26 Expansion Order #define id(x) X #define one(x) id(x) #define two a,b one(two)??? Inner (call-by-value): one(two) one(a,b) *** arity error 'one' Outer (call-by-name): one(two) id(two) two a,b 26
27 Expansion Order in CPP CPP uses a pragmatic "argument prescan": one(two) id(a,b) *** arity error 'id' Useful for composing macros: #define succ(x) ((X)+1) #define call7(x) X(7) call7(succ) succ(7) ((7)+1) 27
28 Recursive Expansion #define x 1+x x??? Definition time: *** recursive definition Invocation time: x 1+x 1+1+x x... 28
29 Recursive Expansion in CPP CPP uses a pragmatic "intercept-and-ignore": int x = 2; #define x = 1+x x 1+x Maintain a stack of macro invocations Ignore invocations of macros already on the stack At runtime the value of x is 3 29
30 TeX Macros \def \vector #1[#2..#3] { } $({#1}_{#2},\ldots,{#1}_{#3})$ \vector \phi[0..n-1] $({\phi}_{0},\ldots,{\phi}_{n-1})$ Flexible invocation syntax Parsing ambiguities (chooses shortest invocation) Expansion is lazy and outer Recursion is permitted (conditions allowed) 30
31 Syntactic Macros Operate on sequences of ASTs Are handled by the parser Are integrated with the host language syntax Examples: C++ templates Jakarta Tool Suite 31
32 C++ Templates Integrated into C++ compilers Is intended as a genericity mechanism But is often used as a macro language Macros accept ASTs for: identifers constants types The result is always an AST for a declaration 32
33 Syntactic Macro Example template <class T> T GetMax(T x, T y) { return (x>y?x:y); } int i,j; max = GetMax <int> (i,j); Template bodies are parsed at definition time (unlike CPP macros) Templates are syntactically expanded Heavy use of templates yields bloated code (unlike Java generics that are not macros) 33
34 Metaprogramming C++ templates: perform compile time constant folding of arguments allow multiple template definitions and pattern matching This combination enables metaprogramming: Turing-complete computations during compilation Template libraries exist for: booleans control structures functions variables data structures 34
35 Metaprogramming Example template <int X, int Y> struct pow { static const int n=x*pow<x,y-1>::n; }; template <int X> struct pow<x,0> { static const int n = 1; }; const int z = pow<5,3>::n; The value 125 is assigned to z at compile time 35
36 Metaprogramming for Specialization template <int I> inline float dot(float *a, float *b) { return dot<i-1>(a,b) + a[i]*b[i]; } template <> inline float dot<0>(float *a, float *b) { return a[0]*b[0]; } float x[3], y[3]; float z = dot<2>(x,y); float z = x[0]*y[0] + x[1]*y[1] + x[2]*y[2]; The overhead of control structures are removed 36
37 Jakarta Tool Suite JTS extends Java with simple syntactic macros Macros accept ASTs for: AST_QualifiedName AST_Exp AST_Stm AST_FieldDecl AST_Class AST_TypeName The result is an AST specified as: exp{... }exp stm{... }stm mth{... }mth cls{... }cls 37
38 Hygienic Macros macro swap(ast_qualifiedname x, AST_QualifiedName y) local temp stm{ int temp = x; x = y; y = temp; }stm int temp = 42; int tump = 87; #swap(temp,tump); Potential name clash problem: int temp = temp; temp = tump; tump = temp; But local names are renamed uniquely: int temp143 = temp; temp = tump; tump = temp143; Hygeinic macros are available in Scheme, various macro extensions of Java such as JSE, 38
CSCE 314 Programming Languages. Type System
CSCE 314 Programming Languages Type System Dr. Hyunyoung Lee 1 Names Names refer to different kinds of entities in programs, such as variables, functions, classes, templates, modules,.... Names can be
More informationDefining Program Syntax. Chapter Two Modern Programming Languages, 2nd ed. 1
Defining Program Syntax Chapter Two Modern Programming Languages, 2nd ed. 1 Syntax And Semantics Programming language syntax: how programs look, their form and structure Syntax is defined using a kind
More informationCOMP 181. Agenda. Midterm topics. Today: type checking. Purpose of types. Type errors. Type checking
Agenda COMP 181 Type checking October 21, 2009 Next week OOPSLA: Object-oriented Programming Systems Languages and Applications One of the top PL conferences Monday (Oct 26 th ) In-class midterm Review
More informationSEMANTIC ANALYSIS TYPES AND DECLARATIONS
SEMANTIC ANALYSIS CS 403: Type Checking Stefan D. Bruda Winter 2015 Parsing only verifies that the program consists of tokens arranged in a syntactically valid combination now we move to check whether
More informationCSE 307: Principles of Programming Languages
1 / 26 CSE 307: Principles of Programming Languages Names, Scopes, and Bindings R. Sekar 2 / 26 Topics Bindings 1. Bindings Bindings: Names and Attributes Names are a fundamental abstraction in languages
More informationProgrammiersprachen (Programming Languages)
2016-05-13 Preface Programmiersprachen (Programming Languages) coordinates: lecturer: web: usable for: requirements: No. 185.208, VU, 3 ECTS Franz Puntigam http://www.complang.tuwien.ac.at/franz/ps.html
More information1. true / false By a compiler we mean a program that translates to code that will run natively on some machine.
1. true / false By a compiler we mean a program that translates to code that will run natively on some machine. 2. true / false ML can be compiled. 3. true / false FORTRAN can reasonably be considered
More information1 Lexical Considerations
Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science 6.035, Spring 2013 Handout Decaf Language Thursday, Feb 7 The project for the course is to write a compiler
More informationStatic Semantics. Lecture 15. (Notes by P. N. Hilfinger and R. Bodik) 2/29/08 Prof. Hilfinger, CS164 Lecture 15 1
Static Semantics Lecture 15 (Notes by P. N. Hilfinger and R. Bodik) 2/29/08 Prof. Hilfinger, CS164 Lecture 15 1 Current Status Lexical analysis Produces tokens Detects & eliminates illegal tokens Parsing
More informationCSE341: Programming Languages Lecture 17 Implementing Languages Including Closures. Dan Grossman Autumn 2018
CSE341: Programming Languages Lecture 17 Implementing Languages Including Closures Dan Grossman Autumn 2018 Typical workflow concrete syntax (string) "(fn x => x + x) 4" Parsing Possible errors / warnings
More informationWhat is a compiler? Xiaokang Qiu Purdue University. August 21, 2017 ECE 573
What is a compiler? Xiaokang Qiu Purdue University ECE 573 August 21, 2017 What is a compiler? What is a compiler? Traditionally: Program that analyzes and translates from a high level language (e.g.,
More informationShort Notes of CS201
#includes: Short Notes of CS201 The #include directive instructs the preprocessor to read and include a file into a source code file. The file name is typically enclosed with < and > if the file is a system
More informationDSL vs. Library API Shootout
DSL vs. Library API Shootout Rich Unger Salesforce.com Jaroslav Tulach Oracle Agenda What do we mean by DSL? What do we mean by library? When is it good to use a DSL? When is it a bad idea? Evolution Versioning
More informationCS201 - Introduction to Programming Glossary By
CS201 - Introduction to Programming Glossary By #include : The #include directive instructs the preprocessor to read and include a file into a source code file. The file name is typically enclosed with
More informationCOP4020 Programming Languages. Compilers and Interpreters Robert van Engelen & Chris Lacher
COP4020 ming Languages Compilers and Interpreters Robert van Engelen & Chris Lacher Overview Common compiler and interpreter configurations Virtual machines Integrated development environments Compiler
More informationConcepts of programming languages
Concepts of programming languages Lecture 7 Wouter Swierstra 1 Last time Relating evaluation and types How to handle variable binding in embedded languages? 2 DSLs: approaches A stand-alone DSL typically
More informationClosures. Mooly Sagiv. Michael Clarkson, Cornell CS 3110 Data Structures and Functional Programming
Closures Mooly Sagiv Michael Clarkson, Cornell CS 3110 Data Structures and Functional Programming Summary 1. Predictive Parsing 2. Large Step Operational Semantics (Natural) 3. Small Step Operational Semantics
More informationCS558 Programming Languages
CS558 Programming Languages Winter 2017 Lecture 7b Andrew Tolmach Portland State University 1994-2017 Values and Types We divide the universe of values according to types A type is a set of values and
More informationCS 345. Functions. Vitaly Shmatikov. slide 1
CS 345 Functions Vitaly Shmatikov slide 1 Reading Assignment Mitchell, Chapter 7 C Reference Manual, Chapters 4 and 9 slide 2 Procedural Abstraction Can be overloaded (e.g., binary +) Procedure is a named
More informationCS1622. Semantic Analysis. The Compiler So Far. Lecture 15 Semantic Analysis. How to build symbol tables How to use them to find
CS1622 Lecture 15 Semantic Analysis CS 1622 Lecture 15 1 Semantic Analysis How to build symbol tables How to use them to find multiply-declared and undeclared variables. How to perform type checking CS
More informationA Tour of Language Implementation
1 CSCE 314: Programming Languages Dr. Flemming Andersen A Tour of Language Implementation Programming is no minor feat. Prometheus Brings Fire by Heinrich Friedrich Füger. Image source: https://en.wikipedia.org/wiki/prometheus
More informationCompilers. Type checking. Yannis Smaragdakis, U. Athens (original slides by Sam
Compilers Type checking Yannis Smaragdakis, U. Athens (original slides by Sam Guyer@Tufts) Summary of parsing Parsing A solid foundation: context-free grammars A simple parser: LL(1) A more powerful parser:
More informationPace University. Fundamental Concepts of CS121 1
Pace University Fundamental Concepts of CS121 1 Dr. Lixin Tao http://csis.pace.edu/~lixin Computer Science Department Pace University October 12, 2005 This document complements my tutorial Introduction
More informationSemantic Analysis. Lecture 9. February 7, 2018
Semantic Analysis Lecture 9 February 7, 2018 Midterm 1 Compiler Stages 12 / 14 COOL Programming 10 / 12 Regular Languages 26 / 30 Context-free Languages 17 / 21 Parsing 20 / 23 Extra Credit 4 / 6 Average
More informationCompilation 2012 The What and Why of Compilers
Compilation 2012 The What and Why of Compilers Jan Midtgaard Michael I. Schwartzbach Aarhus University What is a Compiler? A program that: tralates from one programming language to another preserves the
More informationClosures. Mooly Sagiv. Michael Clarkson, Cornell CS 3110 Data Structures and Functional Programming
Closures Mooly Sagiv Michael Clarkson, Cornell CS 3110 Data Structures and Functional Programming t ::= x x. t t t Call-by-value big-step Operational Semantics terms variable v ::= values abstraction x.
More informationSyntax Errors; Static Semantics
Dealing with Syntax Errors Syntax Errors; Static Semantics Lecture 14 (from notes by R. Bodik) One purpose of the parser is to filter out errors that show up in parsing Later stages should not have to
More informationInformatica 3 Syntax and Semantics
Informatica 3 Syntax and Semantics Marcello Restelli 9/15/07 Laurea in Ingegneria Informatica Politecnico di Milano Introduction Introduction to the concepts of syntax and semantics Binding Variables Routines
More informationGeneral Concepts. Abstraction Computational Paradigms Implementation Application Domains Influence on Success Influences on Design
General Concepts Abstraction Computational Paradigms Implementation Application Domains Influence on Success Influences on Design 1 Abstractions in Programming Languages Abstractions hide details that
More informationModule 27 Switch-case statements and Run-time storage management
Module 27 Switch-case statements and Run-time storage management In this module we will discuss the pending constructs in generating three-address code namely switch-case statements. We will also discuss
More informationLanguage Reference Manual simplicity
Language Reference Manual simplicity Course: COMS S4115 Professor: Dr. Stephen Edwards TA: Graham Gobieski Date: July 20, 2016 Group members Rui Gu rg2970 Adam Hadar anh2130 Zachary Moffitt znm2104 Suzanna
More informationInformal Semantics of Data. semantic specification names (identifiers) attributes binding declarations scope rules visibility
Informal Semantics of Data semantic specification names (identifiers) attributes binding declarations scope rules visibility 1 Ways to Specify Semantics Standards Documents (Language Definition) Language
More informationMaya: Multiple-Dispatch Syntax Extension in Java. Jason Baker and Wilson C. Hsieh University of Utah
Maya: Multiple-Dispatch Syntax Extension in Java Jason Baker and Wilson C. Hsieh University of Utah Example java.util.vector v; v.elements().foreach(string st) { /* */ } Maya code for (Enumeration enum$
More informationProgramming Languages Third Edition. Chapter 9 Control I Expressions and Statements
Programming Languages Third Edition Chapter 9 Control I Expressions and Statements Objectives Understand expressions Understand conditional statements and guards Understand loops and variation on WHILE
More informationSemantic Analysis. Outline. The role of semantic analysis in a compiler. Scope. Types. Where we are. The Compiler so far
Outline Semantic Analysis The role of semantic analysis in a compiler A laundry list of tasks Scope Static vs. Dynamic scoping Implementation: symbol tables Types Statically vs. Dynamically typed languages
More informationCMPT 379 Compilers. Anoop Sarkar.
CMPT 379 Compilers Anoop Sarkar http://www.cs.sfu.ca/~anoop! Program Compiler Machine Code Input Runtime Output 2012-11- 01 2 main(){char *c="main(){char *c=%c%s%c;printf(c,34,c,34);}";printf(c,34,c,34);}!
More informationCS 415 Midterm Exam Spring 2002
CS 415 Midterm Exam Spring 2002 Name KEY Email Address Student ID # Pledge: This exam is closed note, closed book. Good Luck! Score Fortran Algol 60 Compilation Names, Bindings, Scope Functional Programming
More informationCompilers. Prerequisites
Compilers Prerequisites Data structures & algorithms Linked lists, dictionaries, trees, hash tables Formal languages & automata Regular expressions, finite automata, context-free grammars Machine organization
More informationWhat is a compiler? var a var b mov 3 a mov 4 r1 cmpi a r1 jge l_e mov 2 b jmp l_d l_e: mov 3 b l_d: ;done
What is a compiler? What is a compiler? Traditionally: Program that analyzes and translates from a high level language (e.g., C++) to low-level assembly language that can be executed by hardware int a,
More information9/5/17. The Design and Implementation of Programming Languages. Compilation. Interpretation. Compilation vs. Interpretation. Hybrid Implementation
Language Implementation Methods The Design and Implementation of Programming Languages Compilation Interpretation Hybrid In Text: Chapter 1 2 Compilation Interpretation Translate high-level programs to
More informationCSE 504. Expression evaluation. Expression Evaluation, Runtime Environments. One possible semantics: Problem:
Expression evaluation CSE 504 Order of evaluation For the abstract syntax tree + + 5 Expression Evaluation, Runtime Environments + + x 3 2 4 the equivalent expression is (x + 3) + (2 + 4) + 5 1 2 (. Contd
More informationLecture 16: Static Semantics Overview 1
Lecture 16: Static Semantics Overview 1 Lexical analysis Produces tokens Detects & eliminates illegal tokens Parsing Produces trees Detects & eliminates ill-formed parse trees Static semantic analysis
More informationCA Compiler Construction
CA4003 - Compiler Construction Semantic Analysis David Sinclair Semantic Actions A compiler has to do more than just recognise if a sequence of characters forms a valid sentence in the language. It must
More informationCOSC345. Programs are Data Processing and Generating code
COSC345 Programs are Data Processing and Generating code A warning This is going to sound rather like the little languages lectures. These two lectures touch on Little languages again Macro processing
More informationWeeks 6&7: Procedures and Parameter Passing
CS320 Principles of Programming Languages Weeks 6&7: Procedures and Parameter Passing Jingke Li Portland State University Fall 2017 PSU CS320 Fall 17 Weeks 6&7: Procedures and Parameter Passing 1 / 45
More informationProgramming Languages Third Edition. Chapter 7 Basic Semantics
Programming Languages Third Edition Chapter 7 Basic Semantics Objectives Understand attributes, binding, and semantic functions Understand declarations, blocks, and scope Learn how to construct a symbol
More informationSOFTWARE ARCHITECTURE 5. COMPILER
1 SOFTWARE ARCHITECTURE 5. COMPILER Tatsuya Hagino hagino@sfc.keio.ac.jp slides URL https://vu5.sfc.keio.ac.jp/sa/ 2 Programming Language Programming Language Artificial language to express instructions
More informationMacros and Preprocessor. CGS 3460, Lecture 39 Apr 17, 2006 Hen-I Yang
Macros and Preprocessor CGS 3460, Lecture 39 Apr 17, 2006 Hen-I Yang Previously Operations on Linked list (Create and Insert) Agenda Linked List (More insert, lookup and delete) Preprocessor Linked List
More informationCS152 Programming Language Paradigms Prof. Tom Austin, Fall Syntax & Semantics, and Language Design Criteria
CS152 Programming Language Paradigms Prof. Tom Austin, Fall 2014 Syntax & Semantics, and Language Design Criteria Lab 1 solution (in class) Formally defining a language When we define a language, we need
More informationUsing Scala for building DSL s
Using Scala for building DSL s Abhijit Sharma Innovation Lab, BMC Software 1 What is a DSL? Domain Specific Language Appropriate abstraction level for domain - uses precise concepts and semantics of domain
More informationfor (i=1; i<=100000; i++) { x = sqrt (y); // square root function cout << x+i << endl; }
Ex: The difference between Compiler and Interpreter The interpreter actually carries out the computations specified in the source program. In other words, the output of a compiler is a program, whereas
More informationCSE 413 Languages & Implementation. Hal Perkins Winter 2019 Structs, Implementing Languages (credits: Dan Grossman, CSE 341)
CSE 413 Languages & Implementation Hal Perkins Winter 2019 Structs, Implementing Languages (credits: Dan Grossman, CSE 341) 1 Goals Representing programs as data Racket structs as a better way to represent
More informationMotivation was to facilitate development of systems software, especially OS development.
A History Lesson C Basics 1 Development of language by Dennis Ritchie at Bell Labs culminated in the C language in 1972. Motivation was to facilitate development of systems software, especially OS development.
More informationLexical Considerations
Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science 6.035, Spring 2010 Handout Decaf Language Tuesday, Feb 2 The project for the course is to write a compiler
More informationOrganization of Programming Languages CS3200/5200N. Lecture 11
Organization of Programming Languages CS3200/5200N Razvan C. Bunescu School of Electrical Engineering and Computer Science bunescu@ohio.edu Functional vs. Imperative The design of the imperative languages
More informationCSE413: Programming Languages and Implementation Racket structs Implementing languages with interpreters Implementing closures
CSE413: Programming Languages and Implementation Racket structs Implementing languages with interpreters Implementing closures Dan Grossman Fall 2014 Hi! I m not Hal J I love this stuff and have taught
More informationThe SPL Programming Language Reference Manual
The SPL Programming Language Reference Manual Leonidas Fegaras University of Texas at Arlington Arlington, TX 76019 fegaras@cse.uta.edu February 27, 2018 1 Introduction The SPL language is a Small Programming
More informationThe role of semantic analysis in a compiler
Semantic Analysis Outline The role of semantic analysis in a compiler A laundry list of tasks Scope Static vs. Dynamic scoping Implementation: symbol tables Types Static analyses that detect type errors
More information1. Describe History of C++? 2. What is Dev. C++? 3. Why Use Dev. C++ instead of C++ DOS IDE?
1. Describe History of C++? The C++ programming language has a history going back to 1979, when Bjarne Stroustrup was doing work for his Ph.D. thesis. One of the languages Stroustrup had the opportunity
More informationG Programming Languages Spring 2010 Lecture 4. Robert Grimm, New York University
G22.2110-001 Programming Languages Spring 2010 Lecture 4 Robert Grimm, New York University 1 Review Last week Control Structures Selection Loops 2 Outline Subprograms Calling Sequences Parameter Passing
More informationDesign Issues. Subroutines and Control Abstraction. Subroutines and Control Abstraction. CSC 4101: Programming Languages 1. Textbook, Chapter 8
Subroutines and Control Abstraction Textbook, Chapter 8 1 Subroutines and Control Abstraction Mechanisms for process abstraction Single entry (except FORTRAN, PL/I) Caller is suspended Control returns
More informationCompiler construction
Compiler construction Martin Steffen March 13, 2017 Contents 1 Abstract 1 1.1 Symbol tables. 1 1.1.1 Introduction 1 1.1.2 Symbol table design and interface.. 2 1.1.3 Implementing symbol tables 3 1.1.4
More informationProgramming Languages Third Edition
Programming Languages Third Edition Chapter 12 Formal Semantics Objectives Become familiar with a sample small language for the purpose of semantic specification Understand operational semantics Understand
More informationCPS 506 Comparative Programming Languages. Syntax Specification
CPS 506 Comparative Programming Languages Syntax Specification Compiling Process Steps Program Lexical Analysis Convert characters into a stream of tokens Lexical Analysis Syntactic Analysis Send tokens
More informationLexical Analysis. Lexical analysis is the first phase of compilation: The file is converted from ASCII to tokens. It must be fast!
Lexical Analysis Lexical analysis is the first phase of compilation: The file is converted from ASCII to tokens. It must be fast! Compiler Passes Analysis of input program (front-end) character stream
More informationUNIT 3
UNIT 3 Presentation Outline Sequence control with expressions Conditional Statements, Loops Exception Handling Subprogram definition and activation Simple and Recursive Subprogram Subprogram Environment
More informationCS Exam #1-100 points Spring 2011
CS 4700 - Exam #1-100 points Spring 2011 Fill in the blanks (1 point each) 1. syntactic sugar is a term coined for additions to the syntax of a computer language that do not affect its expressiveness but
More informationContinuations provide a novel way to suspend and reexecute
Continuations provide a novel way to suspend and reexecute computations. 2. ML ( Meta Language ) Strong, compile-time type checking. Types are determined by inference rather than declaration. Naturally
More informationCOMPILER DESIGN LECTURE NOTES
COMPILER DESIGN LECTURE NOTES UNIT -1 1.1 OVERVIEW OF LANGUAGE PROCESSING SYSTEM 1.2 Preprocessor A preprocessor produce input to compilers. They may perform the following functions. 1. Macro processing:
More information52. Staged Software Architectures with Staged Composition
52. Staged Software Architectures with Staged Composition Prof. Dr. Uwe Aßmann Technische Universität Dresden Institut für Software- und Multimediatechnologie Version 14-1.0, 12.07.14 1) Web programming
More informationZhifu Pei CSCI5448 Spring 2011 Prof. Kenneth M. Anderson
Zhifu Pei CSCI5448 Spring 2011 Prof. Kenneth M. Anderson Introduction History, Characteristics of Java language Java Language Basics Data types, Variables, Operators and Expressions Anatomy of a Java Program
More informationSyntax and Grammars 1 / 21
Syntax and Grammars 1 / 21 Outline What is a language? Abstract syntax and grammars Abstract syntax vs. concrete syntax Encoding grammars as Haskell data types What is a language? 2 / 21 What is a language?
More informationFRAC: Language Reference Manual
FRAC: Language Reference Manual Justin Chiang jc4127 Kunal Kamath kak2211 Calvin Li ctl2124 Anne Zhang az2350 1. Introduction FRAC is a domain-specific programming language that enables the programmer
More informationFunctional Programming. Pure Functional Languages
Functional Programming Pure functional PLs S-expressions cons, car, cdr Defining functions read-eval-print loop of Lisp interpreter Examples of recursive functions Shallow, deep Equality testing 1 Pure
More informationSemantic Analysis. Outline. The role of semantic analysis in a compiler. Scope. Types. Where we are. The Compiler Front-End
Outline Semantic Analysis The role of semantic analysis in a compiler A laundry list of tasks Scope Static vs. Dynamic scoping Implementation: symbol tables Types Static analyses that detect type errors
More informationLanguage Translation, History. CS152. Chris Pollett. Sep. 3, 2008.
Language Translation, History. CS152. Chris Pollett. Sep. 3, 2008. Outline. Language Definition, Translation. History of Programming Languages. Language Definition. There are several different ways one
More informationDispatch techniques and closure representations
Dispatch techniques and closure representations Jan Midtgaard Week 3, Virtual Machines for Programming Languages Aarhus University, Q4-2011 Dispatch techniques Efficient bytecode interpreters (1/2) The
More informationCOSC252: Programming Languages: Semantic Specification. Jeremy Bolton, PhD Adjunct Professor
COSC252: Programming Languages: Semantic Specification Jeremy Bolton, PhD Adjunct Professor Outline I. What happens after syntactic analysis (parsing)? II. Attribute Grammars: bridging the gap III. Semantic
More informationMIDTERM EXAM (Solutions)
MIDTERM EXAM (Solutions) Total Score: 100, Max. Score: 83, Min. Score: 26, Avg. Score: 57.3 1. (10 pts.) List all major categories of programming languages, outline their definitive characteristics and
More informationLECTURE NOTES ON COMPILER DESIGN P a g e 2
LECTURE NOTES ON COMPILER DESIGN P a g e 1 (PCCS4305) COMPILER DESIGN KISHORE KUMAR SAHU SR. LECTURER, DEPARTMENT OF INFORMATION TECHNOLOGY ROLAND INSTITUTE OF TECHNOLOGY, BERHAMPUR LECTURE NOTES ON COMPILER
More informationTheoretical Part. Chapter one:- - What are the Phases of compiler? Answer:
Theoretical Part Chapter one:- - What are the Phases of compiler? Six phases Scanner Parser Semantic Analyzer Source code optimizer Code generator Target Code Optimizer Three auxiliary components Literal
More informationMacros in C/C++ Computer Science and Engineering College of Engineering The Ohio State University. Lecture 33
Macros in C/C++ Computer Science and Engineering College of Engineering The Ohio State University Lecture 33 Macro Definition Directive: #define #define Example: #define BUFF_SIZE 1000 A
More informationType Checking. Chapter 6, Section 6.3, 6.5
Type Checking Chapter 6, Section 6.3, 6.5 Inside the Compiler: Front End Lexical analyzer (aka scanner) Converts ASCII or Unicode to a stream of tokens Syntax analyzer (aka parser) Creates a parse tree
More informationWhy are there so many programming languages?
Chapter 1 :: Introduction Programming Language Pragmatics, Fourth Edition Michael L. Scott Copyright 2016 Elsevier 1 Chapter01_ Introduction_4e - Tue November 21, 2017 Introduction Why are there so many
More informationThe Procedure Abstraction Part I: Basics
The Procedure Abstraction Part I: Basics Procedure Abstraction Begins Chapter 6 in EAC The compiler must deal with interface between compile time and run time Most of the tricky issues arise in implementing
More informationParameter passing. Parameter: A variable in a procedure that represents some other data from the procedure that invoked the given procedure.
Parameter passing Parameter: A variable in a procedure that represents some other data from the procedure that invoked the given procedure. Parameter transmission: How that information is passed to the
More informationLexical Considerations
Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science 6.035, Fall 2005 Handout 6 Decaf Language Wednesday, September 7 The project for the course is to write a
More informationFormal Systems and their Applications
Formal Systems and their Applications Dave Clarke (Dave.Clarke@cs.kuleuven.be) Acknowledgment: these slides are based in part on slides from Benjamin Pierce and Frank Piessens 1 Course Overview Introduction
More informationUnit 4 Preprocessor Directives
1 What is pre-processor? The job of C preprocessor is to process the source code before it is passed to the compiler. Source Code (test.c) Pre-Processor Intermediate Code (test.i) Compiler The pre-processor
More informationA Brief Introduction to Common Lisp
A Brief Introduction to Common Lisp David Gu Schloer Consulting Group david_guru@gty.org.in A Brief History Originally specified in 1958, Lisp is the second-oldest highlevel programming language in widespread
More informationCSE 3302 Programming Languages Lecture 2: Syntax
CSE 3302 Programming Languages Lecture 2: Syntax (based on slides by Chengkai Li) Leonidas Fegaras University of Texas at Arlington CSE 3302 L2 Spring 2011 1 How do we define a PL? Specifying a PL: Syntax:
More informationSpecifying Syntax. An English Grammar. Components of a Grammar. Language Specification. Types of Grammars. 1. Terminal symbols or terminals, Σ
Specifying Syntax Language Specification Components of a Grammar 1. Terminal symbols or terminals, Σ Syntax Form of phrases Physical arrangement of symbols 2. Nonterminal symbols or syntactic categories,
More informationTopics Covered Thus Far. CMSC 330: Organization of Programming Languages. Language Features Covered Thus Far. Programming Languages Revisited
CMSC 330: Organization of Programming Languages Type Systems, Names & Binding Topics Covered Thus Far Programming languages Syntax specification Regular expressions Context free grammars Implementation
More informationDomain-Specific. Languages. Martin Fowler. AAddison-Wesley. Sydney Tokyo. With Rebecca Parsons
Domain-Specific Languages Martin Fowler With Rebecca Parsons AAddison-Wesley Upper Saddle River, NJ Boston Indianapolis San Francisco New York Toronto Montreal London Munich Paris Madrid Sydney Tokyo Singapore
More informationKey Differences Between Python and Java
Python Python supports many (but not all) aspects of object-oriented programming; but it is possible to write a Python program without making any use of OO concepts. Python is designed to be used interpretively.
More informationCS321 Languages and Compiler Design I. Winter 2012 Lecture 1
CS321 Languages and Compiler Design I Winter 2012 Lecture 1 1 COURSE GOALS Improve understanding of languages and machines. Learn practicalities of translation. Learn anatomy of programming languages.
More informationPrograms as data first-order functional language type checking
Programs as data first-order functional language type checking Copyright 2013-18, Peter Sestoft and Cesare Tinelli. Created by Cesare Tinelli at the University of Iowa from notes originally developed by
More information8. Functions (II) Control Structures: Arguments passed by value and by reference int x=5, y=3, z; z = addition ( x, y );
- 50 - Control Structures: 8. Functions (II) Arguments passed by value and by reference. Until now, in all the functions we have seen, the arguments passed to the functions have been passed by value. This
More informationFunctional Programming. Pure Functional Programming
Functional Programming Pure Functional Programming Computation is largely performed by applying functions to values. The value of an expression depends only on the values of its sub-expressions (if any).
More informationChapter 11 :: Functional Languages
Chapter 11 :: Functional Languages Programming Language Pragmatics Michael L. Scott Copyright 2016 Elsevier 1 Chapter11_Functional_Languages_4e - Tue November 21, 2017 Historical Origins The imperative
More information