Intermediate Representation (IR) is a data structure or code used internally by a compiler or interpreter to represent source code. It acts as a bridge between high-level programming languages and machine code, enabling optimizations and transformations to be performed efficiently.

Intermediate Representation

A data structure is a specialized format for organizing, processing, retrieving, and storing data, enabling efficient access and modification. Choosing the right data structure is crucial for optimizing performance and resource utilization in software applications.

data structure

A compiler is a specialized program that translates high-level source code written in programming languages into machine code that can be executed by a computer's processor. This translation process involves several stages, including lexical analysis, syntax analysis, semantic analysis, optimization, and code generation, ensuring that the final executable is efficient and error-free.

compiler

An interpreter is a program that directly executes instructions written in a programming or scripting language without requiring them to be compiled into machine language first. This allows for dynamic execution and testing of code, making it easier to debug and modify compared to compiled languages.

interpreter

Source code is the human-readable set of instructions that a programmer writes, which is then translated into machine code by a compiler or interpreter to be executed by a computer. It serves as the foundational element for software development, allowing for collaboration, modification, and understanding of a program's functionality.

source code

high-level programming languages

Machine code is the lowest-level representation of a computer program, consisting of binary instructions that a computer's central processing unit (CPU) can execute directly. It is specific to the architecture of the CPU, meaning that machine code compiled for one type of processor will not run on a different type without modification or recompilation.

machine code

Optimizations are like finding the best way to do something faster or better, just like when you figure out the quickest way to clean up your toys. It's about making things work in the best possible way so we don't waste time or resources.

optimizations

Transformations refer to operations that alter the form, appearance, or structure of something, often used in mathematics and science to describe changes in position, shape, or size while preserving certain properties. They are fundamental in understanding symmetry, geometry, and the behavior of functions and systems across various domains.

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