In this PDF you will find the basics of Turbo Prolog 2.0 with some good program and it's output. Also it's second part is coming in next month or week.
For any query ------------------> [email protected]
For programs ----------------> https://github.com/UltraHopeful/Turbo-Prolog-2.0
Kevin Knight, Elaine Rich, B. Nair - Artificial Intelligence (2010, Tata McGr...JayaramB11
This document discusses the history of chocolate production. It details how cocoa beans are harvested from cocoa trees and then fermented, dried, roasted, and ground into chocolate liquor. The liquor is then further processed through conching and tempering to produce chocolate in its familiar solid form.
The document provides an overview of compilers by discussing:
1. Compilers translate source code into executable target code by going through several phases including lexical analysis, syntax analysis, semantic analysis, code optimization, and code generation.
2. An interpreter directly executes source code statement by statement while a compiler produces target code as translation. Compiled code generally runs faster than interpreted code.
3. The phases of a compiler include a front end that analyzes the source code and produces intermediate code, and a back end that optimizes and generates the target code.
Lecture-1: Introduction to web engineering - course overview and grading schemeMubashir Ali
This document provides an introduction to the course "Introduction to Web Engineering". It discusses the need for applying systematic engineering principles to web application development to avoid common issues like cost overruns and missed objectives. The document defines web engineering and outlines categories of web applications of varying complexity, from document-centric to ubiquitous applications. Grading policies are also covered.
The document discusses the phases of compilation:
1. The front-end performs lexical, syntax and semantic analysis to generate an intermediate representation and includes error handling.
2. The back-end performs code optimization and generation to produce efficient machine-specific code from the intermediate representation.
3. Key phases include lexical and syntax analysis, semantic analysis, intermediate code generation, code optimization, and code generation.
The document provides an overview of the Internet of Things (IoT). It defines IoT as a network of physical objects embedded with sensors, software and network connectivity that enables them to collect and exchange data. The document discusses what types of physical and virtual things can be connected in an IoT system and how they can collect and share data. It also examines common communication protocols used in IoT like UART, SPI, I2C and CAN that allow different devices to connect and exchange information over a network.
This document provides an overview of syntax analysis in compiler design. It discusses context free grammars, derivations, parse trees, ambiguity, and various parsing techniques. Top-down parsing approaches like recursive descent parsing and LL(1) parsing are described. Bottom-up techniques including shift-reduce parsing and operator precedence parsing are also introduced. The document provides examples and practice problems related to grammar rules, derivations, parse trees, and eliminating ambiguity.
This document provides an introduction to compilers, including:
- What compilers are and their role in translating programs to machine code
- The main phases of compilation: lexical analysis, syntax analysis, semantic analysis, code generation, and optimization
- Key concepts like tokens, parsing, symbol tables, and intermediate representations
- Related software tools like preprocessors, assemblers, loaders, and linkers
This document discusses syntax-directed translation, which refers to a method of compiler implementation where the source language translation is completely driven by the parser. The parsing process and parse trees are used to direct semantic analysis and translation of the source program. Attributes and semantic rules are associated with the grammar symbols and productions to control semantic analysis and translation. There are two main representations of semantic rules: syntax-directed definitions and syntax-directed translation schemes. Syntax-directed translation schemes embed program fragments called semantic actions within production bodies and are more efficient than syntax-directed definitions as they indicate the order of evaluation of semantic actions. Attribute grammars can be used to represent syntax-directed translations.
The document discusses compilers and their role in translating high-level programming languages into machine-readable code. It notes that compilers perform several key functions: lexical analysis, syntax analysis, generation of an intermediate representation, optimization of the intermediate code, and finally generation of assembly or machine code. The compiler allows programmers to write code in a high-level language that is easier for humans while still producing efficient low-level code that computers can execute.
The document discusses lexical analysis in compilers. It describes how the lexical analyzer reads source code characters and divides them into tokens. Regular expressions are used to specify patterns for token recognition. The lexical analyzer generates a finite state automaton to recognize these patterns. Lexical analysis is the first phase of compilation that separates the input into tokens for the parser.
This document provides an overview of compilers, including their history, components, and construction. It discusses the need for compilers to translate high-level programming languages into machine-readable code. The key phases of a compiler are described as scanning, parsing, semantic analysis, intermediate code generation, optimization, and code generation. Compiler construction relies on tools like scanner and parser generators.
This document provides information about the CS416 Compiler Design course, including the instructor details, prerequisites, textbook, grading breakdown, course outline, and an overview of the major parts and phases of a compiler. The course will cover topics such as lexical analysis, syntax analysis using top-down and bottom-up parsing, semantic analysis using attribute grammars, intermediate code generation, code optimization, and code generation.
This slide is prepared By these following Students of Dept. of CSE JnU, Dhaka. Thanks To: Nusrat Jahan, Arifatun Nesa, Fatema Akter, Maleka Khatun, Tamanna Tabassum.
The document discusses different types of parsing including:
1) Top-down parsing which starts at the root node and builds the parse tree recursively, requiring backtracking for ambiguous grammars.
2) Bottom-up parsing which starts at the leaf nodes and applies grammar rules in reverse to reach the start symbol using shift-reduce parsing.
3) LL(1) and LR parsing which are predictive parsing techniques using parsing tables constructed from FIRST and FOLLOW sets to avoid backtracking.
Process scheduling involves assigning system resources like CPU time to processes. There are three levels of scheduling - long, medium, and short term. The goals of scheduling are to minimize turnaround time, waiting time, and response time for users while maximizing throughput, CPU utilization, and fairness for the system. Common scheduling algorithms include first come first served, priority scheduling, shortest job first, round robin, and multilevel queue scheduling. Newer algorithms like fair share scheduling and lottery scheduling aim to prevent starvation.
The document discusses code optimization techniques in compilers. It covers the following key points:
1. Code optimization aims to improve code performance by replacing high-level constructs with more efficient low-level code while preserving program semantics. It occurs at various compiler phases like source code, intermediate code, and target code.
2. Common optimization techniques include constant folding, propagation, algebraic simplification, strength reduction, copy propagation, and dead code elimination. Control and data flow analysis are required to perform many optimizations.
3. Optimizations can be local within basic blocks, global across blocks, or inter-procedural across procedures. Representations like flow graphs, basic blocks, and DAGs are used to apply optimizations at
Syntax-Directed Translation: Syntax-Directed Definitions, Evaluation Orders for SDD's, Applications of Syntax-Directed Translation, Syntax-Directed Translation Schemes, and Implementing L-Attributed SDD's. Intermediate-Code Generation: Variants of Syntax Trees, Three-Address Code, Types and Declarations, Type Checking, Control Flow, Back patching, Switch-Statements
The document discusses the role and implementation of a lexical analyzer in compilers. A lexical analyzer is the first phase of a compiler that reads source code characters and generates a sequence of tokens. It groups characters into lexemes and determines the tokens based on patterns. A lexical analyzer may need to perform lookahead to unambiguously determine tokens. It associates attributes with tokens, such as symbol table entries for identifiers. The lexical analyzer and parser interact through a producer-consumer relationship using a token buffer.
This document discusses top-down parsing and predictive parsing techniques. It explains that top-down parsers build parse trees from the root node down to the leaf nodes, while bottom-up parsers do the opposite. Recursive descent parsing and predictive parsing are introduced as two common top-down parsing approaches. Recursive descent parsing may involve backtracking, while predictive parsing avoids backtracking by using a parsing table to determine the production to apply. The key steps of a predictive parsing algorithm using a stack and parsing table are outlined.
Lexical analysis is the first phase of compilation. It reads source code characters and divides them into tokens by recognizing patterns using finite automata. It separates tokens, inserts them into a symbol table, and eliminates unnecessary characters. Tokens are passed to the parser along with line numbers for error handling. An input buffer is used to improve efficiency by reading source code in blocks into memory rather than character-by-character from secondary storage. Lexical analysis groups character sequences into lexemes, which are then classified as tokens based on patterns.
Regular expressions-Theory of computationBipul Roy Bpl
Regular expressions are a notation used to specify formal languages by defining patterns over strings. They are declarative and can describe the same languages as finite automata. Regular expressions are composed of operators for union, concatenation, and Kleene closure and can be converted to equivalent non-deterministic finite automata and vice versa. They also have an algebraic structure with laws governing how expressions combine and simplify.
The document describes the analysis-synthesis model of compilation which has two parts: analysis breaks down the source program into pieces and creates an intermediate representation, and synthesis constructs the target program from the intermediate representation. During analysis, the operations of the source program are determined and recorded in a syntax tree where each node represents an operation and children are the arguments.
This document discusses bottom-up parsing and LR parsing. Bottom-up parsing starts from the leaf nodes of a parse tree and works upward to the root node by applying grammar rules in reverse. LR parsing is a type of bottom-up parsing that uses shift-reduce parsing with two steps: shifting input symbols onto a stack, and reducing grammar rules on the stack. The document describes LR parsers, types of LR parsers like SLR(1) and LALR(1), and the LR parsing algorithm. It also compares bottom-up LR parsing to top-down LL parsing.
This document provides an overview of syntax analysis in compiler design. It discusses context free grammars, derivations, parse trees, ambiguity, and various parsing techniques. Top-down parsing approaches like recursive descent parsing and LL(1) parsing are described. Bottom-up techniques including shift-reduce parsing and operator precedence parsing are also introduced. The document provides examples and practice problems related to grammar rules, derivations, parse trees, and eliminating ambiguity.
This document provides an introduction to compilers, including:
- What compilers are and their role in translating programs to machine code
- The main phases of compilation: lexical analysis, syntax analysis, semantic analysis, code generation, and optimization
- Key concepts like tokens, parsing, symbol tables, and intermediate representations
- Related software tools like preprocessors, assemblers, loaders, and linkers
This document discusses syntax-directed translation, which refers to a method of compiler implementation where the source language translation is completely driven by the parser. The parsing process and parse trees are used to direct semantic analysis and translation of the source program. Attributes and semantic rules are associated with the grammar symbols and productions to control semantic analysis and translation. There are two main representations of semantic rules: syntax-directed definitions and syntax-directed translation schemes. Syntax-directed translation schemes embed program fragments called semantic actions within production bodies and are more efficient than syntax-directed definitions as they indicate the order of evaluation of semantic actions. Attribute grammars can be used to represent syntax-directed translations.
The document discusses compilers and their role in translating high-level programming languages into machine-readable code. It notes that compilers perform several key functions: lexical analysis, syntax analysis, generation of an intermediate representation, optimization of the intermediate code, and finally generation of assembly or machine code. The compiler allows programmers to write code in a high-level language that is easier for humans while still producing efficient low-level code that computers can execute.
The document discusses lexical analysis in compilers. It describes how the lexical analyzer reads source code characters and divides them into tokens. Regular expressions are used to specify patterns for token recognition. The lexical analyzer generates a finite state automaton to recognize these patterns. Lexical analysis is the first phase of compilation that separates the input into tokens for the parser.
This document provides an overview of compilers, including their history, components, and construction. It discusses the need for compilers to translate high-level programming languages into machine-readable code. The key phases of a compiler are described as scanning, parsing, semantic analysis, intermediate code generation, optimization, and code generation. Compiler construction relies on tools like scanner and parser generators.
This document provides information about the CS416 Compiler Design course, including the instructor details, prerequisites, textbook, grading breakdown, course outline, and an overview of the major parts and phases of a compiler. The course will cover topics such as lexical analysis, syntax analysis using top-down and bottom-up parsing, semantic analysis using attribute grammars, intermediate code generation, code optimization, and code generation.
This slide is prepared By these following Students of Dept. of CSE JnU, Dhaka. Thanks To: Nusrat Jahan, Arifatun Nesa, Fatema Akter, Maleka Khatun, Tamanna Tabassum.
The document discusses different types of parsing including:
1) Top-down parsing which starts at the root node and builds the parse tree recursively, requiring backtracking for ambiguous grammars.
2) Bottom-up parsing which starts at the leaf nodes and applies grammar rules in reverse to reach the start symbol using shift-reduce parsing.
3) LL(1) and LR parsing which are predictive parsing techniques using parsing tables constructed from FIRST and FOLLOW sets to avoid backtracking.
Process scheduling involves assigning system resources like CPU time to processes. There are three levels of scheduling - long, medium, and short term. The goals of scheduling are to minimize turnaround time, waiting time, and response time for users while maximizing throughput, CPU utilization, and fairness for the system. Common scheduling algorithms include first come first served, priority scheduling, shortest job first, round robin, and multilevel queue scheduling. Newer algorithms like fair share scheduling and lottery scheduling aim to prevent starvation.
The document discusses code optimization techniques in compilers. It covers the following key points:
1. Code optimization aims to improve code performance by replacing high-level constructs with more efficient low-level code while preserving program semantics. It occurs at various compiler phases like source code, intermediate code, and target code.
2. Common optimization techniques include constant folding, propagation, algebraic simplification, strength reduction, copy propagation, and dead code elimination. Control and data flow analysis are required to perform many optimizations.
3. Optimizations can be local within basic blocks, global across blocks, or inter-procedural across procedures. Representations like flow graphs, basic blocks, and DAGs are used to apply optimizations at
Syntax-Directed Translation: Syntax-Directed Definitions, Evaluation Orders for SDD's, Applications of Syntax-Directed Translation, Syntax-Directed Translation Schemes, and Implementing L-Attributed SDD's. Intermediate-Code Generation: Variants of Syntax Trees, Three-Address Code, Types and Declarations, Type Checking, Control Flow, Back patching, Switch-Statements
The document discusses the role and implementation of a lexical analyzer in compilers. A lexical analyzer is the first phase of a compiler that reads source code characters and generates a sequence of tokens. It groups characters into lexemes and determines the tokens based on patterns. A lexical analyzer may need to perform lookahead to unambiguously determine tokens. It associates attributes with tokens, such as symbol table entries for identifiers. The lexical analyzer and parser interact through a producer-consumer relationship using a token buffer.
This document discusses top-down parsing and predictive parsing techniques. It explains that top-down parsers build parse trees from the root node down to the leaf nodes, while bottom-up parsers do the opposite. Recursive descent parsing and predictive parsing are introduced as two common top-down parsing approaches. Recursive descent parsing may involve backtracking, while predictive parsing avoids backtracking by using a parsing table to determine the production to apply. The key steps of a predictive parsing algorithm using a stack and parsing table are outlined.
Lexical analysis is the first phase of compilation. It reads source code characters and divides them into tokens by recognizing patterns using finite automata. It separates tokens, inserts them into a symbol table, and eliminates unnecessary characters. Tokens are passed to the parser along with line numbers for error handling. An input buffer is used to improve efficiency by reading source code in blocks into memory rather than character-by-character from secondary storage. Lexical analysis groups character sequences into lexemes, which are then classified as tokens based on patterns.
Regular expressions-Theory of computationBipul Roy Bpl
Regular expressions are a notation used to specify formal languages by defining patterns over strings. They are declarative and can describe the same languages as finite automata. Regular expressions are composed of operators for union, concatenation, and Kleene closure and can be converted to equivalent non-deterministic finite automata and vice versa. They also have an algebraic structure with laws governing how expressions combine and simplify.
The document describes the analysis-synthesis model of compilation which has two parts: analysis breaks down the source program into pieces and creates an intermediate representation, and synthesis constructs the target program from the intermediate representation. During analysis, the operations of the source program are determined and recorded in a syntax tree where each node represents an operation and children are the arguments.
This document discusses bottom-up parsing and LR parsing. Bottom-up parsing starts from the leaf nodes of a parse tree and works upward to the root node by applying grammar rules in reverse. LR parsing is a type of bottom-up parsing that uses shift-reduce parsing with two steps: shifting input symbols onto a stack, and reducing grammar rules on the stack. The document describes LR parsers, types of LR parsers like SLR(1) and LALR(1), and the LR parsing algorithm. It also compares bottom-up LR parsing to top-down LL parsing.
Computer Science - Programming Languages / Translators
This presentation explains the different types of translators and languages of programming such as assembler, compiler, interpreter, bytecode
The document discusses three methods to optimize DFAs: 1) directly building a DFA from a regular expression, 2) minimizing states, and 3) compacting transition tables. It provides details on constructing a direct DFA from a regular expression by building a syntax tree and calculating first, last, and follow positions. It also describes minimizing states by partitioning states into accepting and non-accepting groups and compacting transition tables by representing them as lists of character-state pairs with a default state.
The document describes the conversion of a nondeterministic finite automaton (NFA) to a deterministic finite automaton (DFA). It involves three steps: 1) The initial state of the DFA is a set containing the initial state of the NFA. 2) Transition functions for the DFA are determined by considering all possible transitions from states in the NFA. 3) A state in the DFA is marked as final if it contains any final states from the NFA. The procedure guarantees that the languages accepted by the original NFA and resulting DFA are equivalent. This proves that NFAs and DFAs have equal computational power in accepting regular languages.
This document discusses deterministic finite automata (DFA) minimization. It defines the components of a DFA and provides an example of a non-minimized DFA that accepts strings with 'a' or 'b'. The document then introduces an algorithm to minimize a DFA by identifying redundant states that are not necessary to recognize the language. The algorithm works by iteratively labeling states as distinct or equivalent based on their transitions and whether they are accepting states. This process combines equivalent states to produce a minimized DFA with the smallest number of states.
This document discusses converting non-deterministic finite automata (NFA) to deterministic finite automata (DFA). NFAs can have multiple transitions with the same symbol or no transition for a symbol, while DFAs have a single transition for each symbol. The document provides examples of NFAs and their representations, and explains how to systematically construct a DFA that accepts the same language as a given NFA by considering all possible state combinations in the NFA. It also notes that NFAs and DFAs have equal expressive power despite their differences, and discusses minimizing DFAs and relationships to other automata models.
The document discusses different types of programming languages and software. It describes low-level languages like machine language and assembly language, and high-level languages used for scientific and business applications. It also defines algorithms, flowcharts, compilers, interpreters, and system and application software.
The document discusses methods for minimizing deterministic finite automata (DFAs). It explains that states can be eliminated if they are unreachable, dead, or non-distinguishable from other states. The partitioning algorithm is described as a method for finding equivalent states that go to the same partitions under all inputs. The algorithm is demonstrated on a sample DFA, merging equivalent states into single states until no further merges are possible, resulting in a minimized DFA. The Myhill-Nerode theorem provides another approach using a state pair marking technique to identify indistinguishable states that can be combined.
The document discusses techniques for converting non-deterministic finite automata (NFAs) to deterministic finite automata (DFAs) in three steps:
1) Using subset construction to determinize an NFA by considering sets of reachable states from each transition as single states in the DFA.
2) Minimizing the number of states in the resulting DFA using an algorithm that merges equivalent states that have identical transitions for all inputs.
3) Computing equivalent state sets using partition refinement, which iteratively partitions states based on their transitions for each input symbol.
The document discusses determining equivalent states in a deterministic finite automaton (DFA) and using them to minimize the DFA. It provides an example of a DFA over the alphabet {a,b} recognizing strings with an even number of a's. The states {[Ea,Eb], [Ea,Ob]} and {[Oa,Eb], [Oa,Ob]} in this DFA are equivalent and can be collapsed into single states, creating a smaller minimal DFA with equivalent state partitions. The example DFA is then refined step-by-step to show the equivalent state partitions.
NFA or Non deterministic finite automatadeepinderbedi
An NFA (non-deterministic finite automaton) can have multiple transitions from a single state on a given input symbol, whereas a DFA (deterministic finite automaton) has exactly one transition from each state on each symbol. The document discusses NFAs and how they differ from DFAs, provides examples of NFA diagrams, and describes how to convert an NFA to an equivalent DFA.
The document discusses intermediate code generation in compilers. It describes how compilers generate an intermediate representation from the abstract syntax tree that is machine independent and allows for optimizations. One popular intermediate representation is three-address code, where each statement contains at most three operands. This code is then represented using structures like quadruples and triples to store the operator and operands for code generation and rearranging during optimizations. Static single assignment form is also covered, which assigns unique names to variables to facilitate optimizations.
The document discusses three programming language translators: assemblers translate assembly language into machine code, compilers translate high-level languages into executable object code, and interpreters execute instructions one at a time without producing an executable file. Assemblers convert mnemonics to machine language equivalents and assign addresses, compilers check syntax and generate all code at once, and interpreters check keywords and convert instructions individually to machine code.
The document discusses the different phases of a compiler including lexical analysis, syntax analysis, semantic analysis, intermediate code generation, code optimization, and code generation. It provides details on each phase and the techniques involved. The overall structure of a compiler is given as taking a source program through various representations until target machine code is generated. Key terms related to compilers like tokens, lexemes, and parsing techniques are also introduced.
The document discusses intermediate code in compilers. It defines intermediate code as the interface between a compiler's front end and back end. Using an intermediate representation facilitates retargeting a compiler to different machines and applying machine-independent optimizations. The document then describes different types of intermediate code like triples, quadruples and SSA form. It provides details on three-address code including quadruples, triples and indirect triples. It also discusses addressing of array elements and provides an example of translating a C program to intermediate code.
This document provides information on different types of translators - assemblers, compilers, and interpreters. It discusses:
- Assemblers translate assembly language to machine code and check for errors. The output is called object code.
- Compilers translate high-level languages to machine code in a lengthy process, generating errors if needed. Object code is produced.
- Interpreters translate each instruction as the program runs, without producing object code. Errors can be found more easily than with compilers.
The document discusses the role and process of lexical analysis in compilers. It can be summarized as:
1) Lexical analysis is the first phase of a compiler that reads source code characters and groups them into tokens. It produces a stream of tokens that are passed to the parser.
2) The lexical analyzer matches character sequences against patterns defined by regular expressions to identify lexemes and produce corresponding tokens.
3) Common tokens include keywords, identifiers, constants, and punctuation. The lexical analyzer may interact with the symbol table to handle identifiers.
The document discusses code generation in compilers. It describes the main tasks of the code generator as instruction selection, register allocation and assignment, and instruction ordering. It then discusses various issues in designing a code generator such as the input and output formats, memory management, different instruction selection and register allocation approaches, and choice of evaluation order. The target machine used is a hypothetical machine with general purpose registers, different addressing modes, and fixed instruction costs. Examples of instruction selection and utilization of addressing modes are provided.
A compiler is a program that translates a program written in one language (the source language) into an equivalent program in another language (the target language). Compilers perform several phases of analysis and translation: lexical analysis converts characters into tokens; syntax analysis groups tokens into a parse tree; semantic analysis checks for errors and collects type information; intermediate code generation produces an abstract representation; code optimization improves the intermediate code; and code generation outputs the target code. Compilers translate source code, detect errors, and produce optimized machine-readable code.
A compiler is a program that translates a program written in one language into an equivalent program in another language. The compilation process involves several phases including lexical analysis, syntax analysis, semantic analysis, intermediate code generation, code optimization, and code generation. Lexical analysis groups characters into tokens. Syntax analysis groups tokens into a parse tree. Semantic analysis checks for semantic errors and collects type information. Intermediate code generation produces an abstract representation of the program. Code optimization improves the intermediate code. Finally, code generation produces the target program in machine code.
The document describes the phases of a compiler. It discusses lexical analysis, syntax analysis, semantic analysis, intermediate code generation, code optimization and code generation.
Lexical analysis scans the source code and returns tokens. Syntax analysis builds an abstract syntax tree from tokens using a context-free grammar. Semantic analysis checks for semantic errors and annotates the tree with types. Intermediate code generation converts the syntax tree to an intermediate representation like 3-address code. Code generation outputs machine or assembly code from the intermediate code.
The document discusses the three phases of analysis in compiling a source program:
1) Linear analysis involves grouping characters into tokens with collective meanings like identifiers and operators.
2) Hierarchical analysis groups tokens into nested structures with collective meanings like expressions, represented by parse trees.
3) Semantic analysis checks that program components fit together meaningfully through type checking and ensuring operators have permitted operand types.
This document provides information about the phases and objectives of a compiler design course. It discusses the following key points:
- The course aims to teach students about the various phases of a compiler like parsing, code generation, and optimization techniques.
- The outcomes include explaining the compilation process and building tools like lexical analyzers and parsers. Students should also be able to develop semantic analysis and code generators.
- The document then covers the different phases of a compiler in detail, including lexical analysis, syntax analysis, semantic analysis, intermediate code generation, and code optimization. It provides examples to illustrate each phase.
This document provides an introduction to compilers and their components. It discusses the differences between compilation and interpretation. The analysis-synthesis model of compilation is described as having two parts: analysis, which breaks down the source program, and synthesis, which constructs the target program. The major phases of a compiler are then outlined, including lexical analysis, syntax analysis, semantic analysis, intermediate code generation, code optimization, and code generation.
The document provides an introduction to compilers, describing compilers as programs that translate source code written in a high-level language into an equivalent program in a lower-level language. It discusses the various phases of compilation including lexical analysis, syntax analysis, semantic analysis, code optimization, and code generation. It also describes different compiler components such as preprocessors, compilers, assemblers, and linkers, and distinguishes between compiler front ends and back ends.
The compilation process consists of multiple phases that each take the output from the previous phase as input. The phases are: lexical analysis, syntax analysis, semantic analysis, intermediate code generation, code optimization, and code generation.
The analysis phase consists of three sub-phases: lexical analysis, syntax analysis, and semantic analysis. Lexical analysis converts the source code characters into tokens. Syntax analysis constructs a parse tree from the tokens. Semantic analysis checks that the program instructions are valid for the programming language.
The entire compilation process takes the source code as input and outputs the target program after multiple analysis and synthesis phases.
System software module 4 presentation filejithujithin657
The document discusses the various phases of a compiler:
1. Lexical analysis scans source code and transforms it into tokens.
2. Syntax analysis validates the structure and checks for syntax errors.
3. Semantic analysis ensures declarations and statements follow language guidelines.
4. Intermediate code generation develops three-address codes as an intermediate representation.
5. Code generation translates the optimized intermediate code into machine code.
The document discusses the phases of a compiler including lexical analysis, syntax analysis, semantic analysis, intermediate code generation, code optimization, and code generation. It describes the role of the lexical analyzer in translating source code into tokens. Key aspects covered include defining tokens and lexemes, using patterns and attributes to classify tokens, and strategies for error recovery in lexical analysis such as buffering input.
In this PPT we covered all the points like..Introduction to compilers - Design issues, passes, phases, symbol table
Preliminaries - Memory management, Operating system support for compiler, Compiler support for garbage collection ,Lexical Analysis - Tokens, Regular Expressions, Process of Lexical analysis, Block Schematic, Automatic construction of lexical analyzer using LEX, LEX features and specification.
We have learnt that any computer system is made of hardware and software.
The hardware understands a language, which humans cannot understand. So we write programs in high-level language, which is easier for us to understand and remember.
These programs are then fed into a series of tools and OS components to get the desired code that can be used by the machine.
This is known as Language Processing System.
This document provides information about the CS213 Programming Languages Concepts course taught by Prof. Taymoor Mohamed Nazmy in the computer science department at Ain Shams University in Cairo, Egypt. It describes the syntax and semantics of programming languages, discusses different programming language paradigms like imperative, functional, and object-oriented, and explains concepts like lexical analysis, parsing, semantic analysis, symbol tables, intermediate code generation, optimization, and code generation which are parts of the compiler design process.
This document provides an overview of the key components and phases of a compiler. It discusses that a compiler translates a program written in a source language into an equivalent program in a target language. The main phases of a compiler are lexical analysis, syntax analysis, semantic analysis, intermediate code generation, code optimization, code generation, and symbol table management. Each phase performs important processing that ultimately results in a program in the target language that is equivalent to the original source program.
The document discusses Pakistan Muslim League Nawaz (PMLN) and expresses love for Pakistan. It was presented by Tayyab Arif and provides his email address and a link to his YouTube channel, asking viewers to comment if they like the presentation.
The document provides contact information for Tayyab Arif including his mobile number, email addresses, and a link to his YouTube channel www.youtube.com/tayyab8632. It repeats this information and encourages clicking the link to view videos on his YouTube channel.
Nawaz Sharif was born in 1949 in Lahore, Pakistan. He received his law degree from Punjab University. Sharif served as Finance Minister of Punjab province and later became the Chief Minister of Punjab in 1985. Sharif was elected Prime Minister of Pakistan in 1990 and 1997, but his governments were dismissed in 1993 and 1999 via judicial rulings and a military coup respectively. As Prime Minister, Sharif reformed the constitution to limit presidential powers and prevent lawmakers from changing parties.
The document discusses different methods for representing binary sequences including unipolar, bipolar, return-to-zero, biphase or Manchester, and alternate mark inversion encoding. Unipolar encoding represents 1s as positive current and 0s as no current. Bipolar encoding represents 1s as positive current and 0s as negative current. Return-to-zero encoding uses positive or negative pulses half the width of bipolar that return to zero before the next bit. Biphase or Manchester encoding represents 1s as a transition from positive to negative current and 0s as a transition from negative to positive current. Alternate mark inversion encoding represents 1s as return-to-zero pulses that alternate between positive and negative levels
There are two basic approaches to error correction: automatic-repeat-request (ARQ) and forward error correction (FEC). ARQ requires retransmitting frames where errors are detected, while FEC allows the receiver to detect and correct a limited number of errors without contacting the transmitter by using error correction codes. Common ARQ techniques include stop-and-wait, go-back-n, and selective-repeat. FEC works by adding redundant bits that enable the receiver to determine the most likely intended message even if some bits are received in error.
The document discusses various methods for error detection in digital communication, including:
1. Parity checking, which adds an extra parity bit to ensure an even or odd number of 1s. Two-dimensional parity divides data into a grid and adds a redundant row.
2. Checksums, which divide data into sections, add the sections using one's complement arithmetic, complement the sum, and send it along with the data for verification.
3. Vertical redundancy checking adds a parity bit to each character to detect single-bit errors and some multiple-bit errors. It is often used with ASCII encoding.
In asynchronous operation, characters are transmitted individually after being typed with irregular spacing between each character. In synchronous operation, characters are collected into a complete line or block and sent together as a burst with start and stop bits framing each character. Asynchronous transmission sends data as soon as it is ready while synchronous transmission groups characters into blocks of data framed with header and trailer sequences.
The *nervous system of insects* is a complex network of nerve cells (neurons) and supporting cells that process and transmit information. Here's an overview:
Structure
1. *Brain*: The insect brain is a complex structure that processes sensory information, controls behavior, and integrates information.
2. *Ventral nerve cord*: A chain of ganglia (nerve clusters) that runs along the insect's body, controlling movement and sensory processing.
3. *Peripheral nervous system*: Nerves that connect the central nervous system to sensory organs and muscles.
Functions
1. *Sensory processing*: Insects can detect and respond to various stimuli, such as light, sound, touch, taste, and smell.
2. *Motor control*: The nervous system controls movement, including walking, flying, and feeding.
3. *Behavioral responThe *nervous system of insects* is a complex network of nerve cells (neurons) and supporting cells that process and transmit information. Here's an overview:
Structure
1. *Brain*: The insect brain is a complex structure that processes sensory information, controls behavior, and integrates information.
2. *Ventral nerve cord*: A chain of ganglia (nerve clusters) that runs along the insect's body, controlling movement and sensory processing.
3. *Peripheral nervous system*: Nerves that connect the central nervous system to sensory organs and muscles.
Functions
1. *Sensory processing*: Insects can detect and respond to various stimuli, such as light, sound, touch, taste, and smell.
2. *Motor control*: The nervous system controls movement, including walking, flying, and feeding.
3. *Behavioral responses*: Insects can exhibit complex behaviors, such as mating, foraging, and social interactions.
Characteristics
1. *Decentralized*: Insect nervous systems have some autonomy in different body parts.
2. *Specialized*: Different parts of the nervous system are specialized for specific functions.
3. *Efficient*: Insect nervous systems are highly efficient, allowing for rapid processing and response to stimuli.
The insect nervous system is a remarkable example of evolutionary adaptation, enabling insects to thrive in diverse environments.
The insect nervous system is a remarkable example of evolutionary adaptation, enabling insects to thrive
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A measles outbreak originating in West Texas has been linked to confirmed cases in New Mexico, with additional cases reported in Oklahoma and Kansas. The current case count is 817 from Texas, New Mexico, Oklahoma, and Kansas. 97 individuals have required hospitalization, and 3 deaths, 2 children in Texas and one adult in New Mexico. These fatalities mark the first measles-related deaths in the United States since 2015 and the first pediatric measles death since 2003.
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CURRENT CASE COUNT: 817 (As of 05/3/2025)
• Texas: 688 (+20)(62% of these cases are in Gaines County).
• New Mexico: 67 (+1 )(92.4% of the cases are from Eddy County)
• Oklahoma: 16 (+1)
• Kansas: 46 (32% of the cases are from Gray County)
HOSPITALIZATIONS: 97 (+2)
• Texas: 89 (+2) - This is 13.02% of all TX cases.
• New Mexico: 7 - This is 10.6% of all NM cases.
• Kansas: 1 - This is 2.7% of all KS cases.
DEATHS: 3
• Texas: 2 – This is 0.31% of all cases
• New Mexico: 1 – This is 1.54% of all cases
US NATIONAL CASE COUNT: 967 (Confirmed and suspected):
INTERNATIONAL SPREAD (As of 4/2/2025)
• Mexico – 865 (+58)
‒Chihuahua, Mexico: 844 (+58) cases, 3 hospitalizations, 1 fatality
• Canada: 1531 (+270) (This reflects Ontario's Outbreak, which began 11/24)
‒Ontario, Canada – 1243 (+223) cases, 84 hospitalizations.
• Europe: 6,814
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CBSE - Grade 8 - Science - Chemistry - Metals and Non Metals - WorksheetSritoma Majumder
Introduction
All the materials around us are made up of elements. These elements can be broadly divided into two major groups:
Metals
Non-Metals
Each group has its own unique physical and chemical properties. Let's understand them one by one.
Physical Properties
1. Appearance
Metals: Shiny (lustrous). Example: gold, silver, copper.
Non-metals: Dull appearance (except iodine, which is shiny).
2. Hardness
Metals: Generally hard. Example: iron.
Non-metals: Usually soft (except diamond, a form of carbon, which is very hard).
3. State
Metals: Mostly solids at room temperature (except mercury, which is a liquid).
Non-metals: Can be solids, liquids, or gases. Example: oxygen (gas), bromine (liquid), sulphur (solid).
4. Malleability
Metals: Can be hammered into thin sheets (malleable).
Non-metals: Not malleable. They break when hammered (brittle).
5. Ductility
Metals: Can be drawn into wires (ductile).
Non-metals: Not ductile.
6. Conductivity
Metals: Good conductors of heat and electricity.
Non-metals: Poor conductors (except graphite, which is a good conductor).
7. Sonorous Nature
Metals: Produce a ringing sound when struck.
Non-metals: Do not produce sound.
Chemical Properties
1. Reaction with Oxygen
Metals react with oxygen to form metal oxides.
These metal oxides are usually basic.
Non-metals react with oxygen to form non-metallic oxides.
These oxides are usually acidic.
2. Reaction with Water
Metals:
Some react vigorously (e.g., sodium).
Some react slowly (e.g., iron).
Some do not react at all (e.g., gold, silver).
Non-metals: Generally do not react with water.
3. Reaction with Acids
Metals react with acids to produce salt and hydrogen gas.
Non-metals: Do not react with acids.
4. Reaction with Bases
Some non-metals react with bases to form salts, but this is rare.
Metals generally do not react with bases directly (except amphoteric metals like aluminum and zinc).
Displacement Reaction
More reactive metals can displace less reactive metals from their salt solutions.
Uses of Metals
Iron: Making machines, tools, and buildings.
Aluminum: Used in aircraft, utensils.
Copper: Electrical wires.
Gold and Silver: Jewelry.
Zinc: Coating iron to prevent rusting (galvanization).
Uses of Non-Metals
Oxygen: Breathing.
Nitrogen: Fertilizers.
Chlorine: Water purification.
Carbon: Fuel (coal), steel-making (coke).
Iodine: Medicines.
Alloys
An alloy is a mixture of metals or a metal with a non-metal.
Alloys have improved properties like strength, resistance to rusting.
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Compiler Chapter 1
1. 1.1 Compilers:A compiler is a program that reads a program written in one language –– the source language –– and translates it into an equivalent program in another language –– the target language1
2. 1.1 Compilers:As an important part of this translation process, the compiler reports to its user the presence of errors in the source program.2
4. 1.1 Compilers:At first glance, the variety of compilers may appear overwhelming.There are thousands of source languages, ranging from traditional programming languages such as FORTRAN and Pascal to specialized languages.4
5. 1.1 Compilers:Target languages are equally as varied;A target language may be another programming language, or the machine language of any computer.5
7. 1.1 Compilers:The basic tasks that any compiler must perform are essentially the same.By understanding these tasks, we can construct compilers for a wide variety of source languages and target machines using the same basic techniques.7
8. 1.1 Compilers:Throughout the 1950’s, compilers were considered notoriously difficult programs to write.The first FORTRAN compiler, for example, took 18 staff-years to implement.8
11. The Analysis-Synthesis Model of Compilation:The analysis part breaks up the source program into constituent piecescreates an intermediate representation of the source program.11
12. The Analysis-Synthesis Model of Compilation:The synthesis part constructs the desired target program from the intermediate representation.12
14. The Analysis-Synthesis Model of Compilation:During analysis, the operations implied by the source program are determined and recorded in a hierarchical structure called a tree. Often, a special kind of tree called a syntax tree is used.14
15. The Analysis-Synthesis Model of Compilation:In syntax tree each node represents an operation and the children of the node represent the arguments of the operation.For example, a syntax tree of an assignment statement is shown below.15
18. Analysis of the Source Program:In compiling, analysis consists of three phases:Linear Analysis:Hierarchical Analysis:Semantic Analysis:18
19. Analysis of the Source Program:Linear Analysis:In which the stream of characters making up the source program is read from left-to-right and grouped into tokens that are sequences of characters having a collective meaning. 19
20. Scanning or Lexical Analysis (Linear Analysis):In a compiler, linear analysis is called lexical analysis or scanning.For example, in lexical analysis the characters in the assignment statementPosition: = initial + rate * 60Would be grouped into the following tokens:20
21. Scanning or Lexical Analysis (Linear Analysis):The identifier, position.The assignment symbol :=The identifier initial.The plus sign.The identifier rate.The multiplication sign.The number 60.21
22. Scanning or Lexical Analysis (Linear Analysis):The blanks separating the characters of these tokens would normally be eliminated during the lexical analysis.22
24. Analysis of the Source Program:Hierarchical Analysis:In which characters or tokens are grouped hierarchically into nested collections with collective meaning.24
25. Syntax Analysis or Hierarchical Analysis (Parsing):Hierarchical analysis is called parsing or syntax analysis.It involves grouping the tokens of the source program into grammatical phases that are used by the compiler to synthesize output.25
26. Syntax Analysis or Hierarchical Analysis (Parsing):The grammatical phrases of the source program are represented by a parse tree.26
28. Syntax Analysis or Hierarchical Analysis (Parsing):In the expression initial + rate * 60, the phrase rate * 60 is a logical unit because the usual conventions of arithmetic expressions tell us that the multiplication is performed before addition. Because the expression initial + rate is followed by a *, it is not grouped into a single phrase by itself28
29. Syntax Analysis or Hierarchical Analysis (Parsing):The hierarchical structure of a program is usually expressed by recursive rules.For example, we might have the following rules, as part of the definition of expression:29
30. Syntax Analysis or Hierarchical Analysis (Parsing):Any identifier is an expression.Any number is an expressionIf expression1 and expression2 are expressions, then so areExpression1 + expression2Expression1 * expression2(Expression1 )30
32. Analysis of the Source Program:Semantic Analysis:In which certain checks are performed to ensure that the components of a program fit together meaningfully.32
33. Semantic Analysis: The semantic analysis phase checks the source program for semantic errors and gathers type information for the subsequent code-generation phase.33
34. Semantic Analysis: It uses the hierarchical structure determined by the syntax-analysis phase to identify the operators and operand of expressions and statements.34
35. Semantic Analysis: An important component of semantic analysis is type checking. Here are the compiler checks that each operator has operands that are permitted by the source language specification.35
36. Semantic Analysis: For example, when a binary arithmetic operator is applied to an integer and real. In this case, the compiler may need to be converting the integer to a real. As shown in figure given below36
39. 1.3 The Phases of a Compiler:A compiler operates in phases.Each of which transforms the source program from one representation to another.A typical decomposition of a compiler is shown in fig given below39
41. 1.3 The Phases of a Compiler:Linear Analysis:In which the stream of characters making up the source program is read from left-to-right and grouped into tokens that are sequences of characters having a collective meaning. 41
42. 1.3 The Phases of a Compiler:In a compiler, linear analysis is called lexical analysis or scanning.For example, in lexical analysis the characters in the assignment statementPosition: = initial + rate * 60Would be grouped into the following tokens:42
43. 1.3 The Phases of a Compiler:The identifier, position.The assignment symbol :=The identifier initial.The plus sign.The identifier rate.The multiplication sign.The number 60.43
44. 1.3 The Phases of a Compiler:The blanks separating the characters of these tokens would normally be eliminated during the lexical analysis.44
45. 1.3 The Phases of a Compiler:Hierarchical Analysis:In which characters or tokens are grouped hierarchically into nested collections with collective meaning.45
46. 1.3 The Phases of a Compiler:Hierarchical analysis is called parsing or syntax analysis.It involves grouping the tokens of the source program into grammatical phases that are used by the compiler to synthesize output.46
47. 1.3 The Phases of a Compiler:The grammatical phrases of the source program are represented by a parse tree.47
49. 1.3 The Phases of a Compiler:In the expression initial + rate * 60, the phrase rate * 60 is a logical unit because the usual conventions of arithmetic expressions tell us that the multiplication is performed before addition. Because the expression initial + rate is followed by a *, it is not grouped into a single phrase by itself49
50. 1.3 The Phases of a Compiler:The hierarchical structure of a program is usually expressed by recursive rules.For example, we might have the following rules, as part of the definition of expression:50
51. 1.3 The Phases of a Compiler:Any identifier is an expression.Any number is an expressionIf expression1 and expression2 are expressions, then so areExpression1 + expression2Expression1 * expression2(Expression1 )51
52. 1.3 The Phases of a Compiler:Semantic Analysis:In which certain checks are performed to ensure that the components of a program fit together meaningfully.52
53. 1.3 The Phases of a Compiler:The semantic analysis phase checks the source program for semantic errors and gathers type information for the subsequent code-generation phase.53
54. 1.3 The Phases of a Compiler:It uses the hierarchical structure determined by the syntax-analysis phase to identify the operators and operand of expressions and statements.54
55. 1.3 The Phases of a Compiler:An important component of semantic analysis is type checking. Here are the compiler checks that each operator has operands that are permitted by the source language specification.55
56. 1.3 The Phases of a Compiler:For example, when a binary arithmetic operator is applied to an integer and real. In this case, the compiler may need to be converting the integer to a real. As shown in figure given below56
58. 1.3 The Phases of a Compiler:Symbol Table Management:An essential function of a compiler is to record the identifiers used in the source program and collect information about various attributes of each identifier.These attributes may provide information about the storage allocated for an identifier, its type, its scope.58
59. 1.3 The Phases of a Compiler:The symbol table is a data structure containing a record for each identifier with fields for the attributes of the identifier.When an identifier in the source program is detected by the lexical analyzer, the identifier is entered into the symbol table59
60. 1.3 The Phases of a Compiler:However, the attributes of an identifier cannot normally be determined during lexical analysis.For example, in a Pascal declaration likeVar position, initial, rate : real;The type real is not known when position, initial and rate are seen by the lexical analyzer.60
61. 1.3 The Phases of a Compiler:The remaining phases gets information about identifiers into the symbol table and then use this information in various ways.For example, when doing semantic analysis and intermediate code generation, we need to know what the types of identifiers are, so we can check that the source program uses them in valid ways, and so that we can generate the proper operations on them.61
62. 1.3 The Phases of a Compiler:The code generator typically enters and uses detailed information about the storage assigned to identifiers.62
64. Error Detection and Reporting:Each phase can encounter errors.However, after detecting an error, a phase must somehow deal with that error, so that compilation can proceed, allowing further errors in the source program to be detected.64
65. Error Detection and Reporting:A compiler that stops when it finds the first error is not as helpful as it could be.The syntax and semantic analysis phases usually handle a large fraction of the errors detectable by the compiler.65
66. Error Detection and Reporting:Errors where the token stream violates the structure rules (syntax) of the language are determined by the syntax analysis phase.The lexical phase can detect errors where the characters remaining in the input do not form any token of the language.66
68. Intermediate Code Generation: After Syntax and semantic analysis, some compilers generate an explicit intermediate representation of the source program.We can think of this intermediate representation as a program for an abstract machine.68
69. Intermediate Code Generation: This intermediate representation should have two important properties; it should be easy to produce, easy to translate into the target program.69
70. Intermediate Code Generation: We consider an intermediate form called “three-address code,”which is like the assembly language for a machine in which every memory location can act like a register.70
71. Intermediate Code Generation: Three-address code consists of a sequence of instructions, each of which has at most three operands. The source program in (1.1) might appear in three-address code as71
74. Code Optimization: The code optimization phase attempts to improve the intermediate code, so that faster-running machine code will result.74
75. Code Optimization: Some optimizations are trivial.For example, a natural algorithm generates the intermediate code (1.3), using an instruction for each operator in the tree representation after semantic analysis, even though there is a better way to perform the same calculation, using the two instructions.75
76. Code Optimization: (1.4)Temp1 := id3 * 60.0id := id2 + temp1 There is nothing wrong with this simple algorithm, since the problem can be fixed during the code-optimization phase.76
77. Code Optimization: That is, the compiler can deduce that the conversion of 60 from integer to real representation can be done once and for all at compile time, so the inttoreal operation can be eliminated.77
78. Code Optimization: Besides, temp3 is used only once, to transmit its value to id1. It then becomes safe to substitute id1 for temp3, whereupon the last statement of 1.3 is not needed and the code of 1.4 results.78
80. Code GenerationThe final phase of the compiler is the generation of target codeconsisting normally of relocatable machine code or assembly code.80
81. Code GenerationMemory locations are selected for each of the variables used by the program.Then, intermediate instructions are each translated into a sequence of machine instructions that perform the same task.A crucial aspect is the assignment of variables to registers.81
82. Code GenerationFor example, using registers 1 and 2, the translation of the code of 1.4 might becomeMOVF id3, r2MULF #60.0, r2MOVF id2, r1ADDF r2, r1MOVF r1, id182
83. Code GenerationThe first and second operands of each instruction specify a source and destination, respectively. The F in each instruction tells us that instructions deal with floating-point numbers.83
84. Code GenerationThis code moves the contents of the address id3 into register 2, and then multiplies it with the real-constant 60.0.The # signifies that 60.0 is to be treated as a constant.84
85. Code GenerationThe third instruction moves id2 into register 1 and adds to it the value previously computed in register 2Finally, the value in register 1 is moved into the address of id1.85
87. 1.4 Cousins of the Compiler:As we saw in given figure, the input to a compiler may be produced by one or more preprocessors, and further processing of the compiler’s output may be needed before running machine code is obtained.87
89. 1.4 Cousins of the Compiler:Preprocessors: preprocessors produce input to compilers. They may perform the following functions:Macro Processing:File inclusion:“Rational” Preprocessors:Language extensions:89
91. Preprocessors: File inclusion:A preprocessor may include header files into the program text.For example, the C preprocessor causes the contents of the file <global.h> to replace the statement #include <global.h> when it processes a file containing this statement.91
94. Preprocessors: Language extensions:These processors attempt to add capabilities to the language by what amounts to built-in macros. For example, the language Equal is a database query language embedded in C. Statements beginning with ## are taken by the preprocessor to be database-access statements, unrelated to C, and are translated into procedure calls on routines that perform the database access.94
95. Assemblers:Some compilers produce assembly code that is passed to an assembler for further processing.Other compilers perform the job of the assembler, producing relocatable machine code that can be passed directly to the loader/link-editor.95
97. Assemblers:Assembly code is a mnemonic version of machine code.In which names are used instead of binary codes for operations, and names are also given to memory addresses.97
99. Assemblers:This code moves the contents of the address a into register 1, then adds the constant 2 to it, reading the contents of register 1 as a fixed-point number, and finally stores the result in the location named by b. thus, it computes b:=a+2.99
102. Two-Pass Compiler:in the first pass, all the identifiers that denote storage locations are found and stored in a symbol tableIdentifiers are assigned storage locations as they are encountered for the first time, so after reading 1.6, for example, the symbol table might contain the entries shown in given below.102
104. Two-Pass Compiler:In the second pass, the assembler scans the input again.This time, it translates each operation code into the sequence of bits representing that operation in machine language.The output of the 2nd pass is usually relocatable machine code. 104
106. Loaders and Link-Editors:The process of loading consists of taking relocatable machine code, altering the relocatable addresses, and placing the altered instructions and data in memory at the proper location.106
107. Loaders and Link-Editors:The link-editor allows us to make a single program from several files of relocatable machine code.107
110. Front and Back Ends:The phases are collected into a front end and a back end.The front end consists of those phases that depend primarily on the source language and are largely independent of the target machine.110
111. Front and Back Ends:These normally include lexical and syntactic analysis, the creating of the symbol table, semantic analysis, and the generation of intermediate code.A certain among of code optimization can be done by the front end as well.111
112. Front and Back Ends:The front end also includes the error handling that goes along with each of these phases.112
113. Front and Back Ends:The back end includes those portions of the compiler that depend on the target machine.And generally, these portions do not depend on the source language, depend on just the intermediate language.113
114. Front and Back Ends:In the back end, we find aspects of the code optimization phase, and we find code generation, along with the necessary error handling and symbol table operations.114
120. Compiler-Construction Tools:In addition to these software-development tools, other more specialized tools have been developed for helping implement various phases of a compiler. 120
121. Compiler-Construction Tools:Shortly after the first compilers were written, systems to help with the compiler-writing process appeared.These systems have often been referred to as Compiler-compilers,Compiler-generators,Or Translator-writing systems.121
122. Compiler-Construction Tools:Some general tools have been created for the automatic design of specific compiler components.These tools use specialized languages for specifying and implementing the component, and many use algorithms that are quite sophisticated.122
123. Compiler-Construction Tools:The most successful tools are those that hide the details of the generation algorithm and produce components that can be easily integrated into the remainder of a compiler.123
124. Compiler-Construction Tools:The following is a list of some useful compiler-construction tools:Parser generatorsScanner generatorsSyntax directed translation enginesAutomatic code generatorsData-flow engines124
125. Compiler-Construction Tools:Parser generatorsThese produce syntax analyzers, normally from input that is based on a context-free grammar.In early compilers, syntax analysis consumed not only a large fraction of the running time of a compiler, but a large fraction of the intellectual effort of writing a compiler.This phase is considered one of the easiest to implement.125
126. Compiler-Construction Tools:Scanner generators:These tools automatically generate lexical analyzers, normally from a specification based on regular expressions.The basic organization of the resulting lexical analyzer is in effect a finite automaton.126
127. Compiler-Construction Tools:Syntax directed translation engines:These produce collections of routines that walk the parse tree, generating intermediate code.The basic idea is that one or more “translations” are associated with each node of the parse tree, and each translation is defined in terms of translations at its neighbor nodes in the tree.127
128. Compiler-Construction Tools:Automatic code generators:Such a tool takes a collection of rules that define the translation of each operation of the intermediate language into the machine language for the target machine.128
129. Data-flow engines:Much of the information needed to perform good code optimization involves “data-flow analysis,” the gathering of information how values are transmitted from one part of a program to each other part. 129