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Introduction to Compiler Design Video Lecture | Question Bank for GATE Computer Science Engineering - Computer Science Engineering (CSE)
FAQs on Introduction to Compiler Design Video Lecture - Question Bank for GATE Computer Science Engineering - Computer Science Engineering (CSE)
| 1. What are the main phases of compiler design? |  |
Ans. The main phases of compiler design include Lexical Analysis, Syntax Analysis, Semantic Analysis, Intermediate Code Generation, Code Optimization, and Code Generation. Each phase plays a crucial role in transforming the source code into executable code, ensuring that the program is syntactically and semantically correct.
| 2. What is the role of a lexical analyzer in a compiler? | |
Ans. The lexical analyzer, or lexer, is responsible for reading the source code and converting it into tokens. Tokens are the basic building blocks of a program, representing keywords, operators, identifiers, and other symbols. The lexer removes whitespace and comments, simplifying the input for the next phase, syntax analysis.
| 3. How does syntax analysis differ from semantic analysis in compiler design? | |
Ans. Syntax analysis, or parsing, focuses on the structure of the code, ensuring that it follows the grammatical rules of the programming language. In contrast, semantic analysis checks for logical consistency and meaning, verifying that the operations are valid and that variables are used correctly. Both are essential for producing valid intermediate code.
| 4. What is intermediate code generation in a compiler? | |
Ans. Intermediate code generation is the phase where the compiler translates the high-level source code into an intermediate representation (IR), which is easier to manipulate than the original code and more abstract than machine code. This representation allows for optimization and serves as a bridge between the front-end (analysis) and back-end (code generation) of the compiler.
| 5. Why is code optimization important in compiler design? | |
Ans. Code optimization is crucial as it improves the efficiency of the generated code, making it run faster and consume less memory. By analyzing and transforming the intermediate code, the compiler can eliminate redundant operations, streamline control flow, and apply various optimization techniques to enhance performance, leading to better resource utilization.
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