Logic Gates Circuits Processors Compilers And Computers Pdf ^hot^
This content follows the "bottom-up" approach—starting from the most basic physical component (the transistor) and building up to complex software systems.
6. Processor Architecture
Calling conventions and ABI
- Stack layout, caller/callee-saved registers, parameter passing.
3.1 Combinational Logic (Calculator Circuits)
- Definition: Circuits where the output depends only on the current input (no memory).
- The Half Adder: Adds two single binary digits (A + B).
- The Full Adder: Adds three binary digits (A + B + Carry_in).
- The Arithmetic Logic Unit (ALU): A complex circuit constructed from adders and logic gates capable of performing addition, subtraction, AND, OR, and comparisons.
Table of Contents
- Chapter 1: The Foundation – Transistors and Logic Gates
- 1.1 The Switch: The Transistor as an Electrical Valve
- 1.2 Building Boolean: AND, OR, NOT
- 1.3 Derived Gates: NAND, NOR, XOR, XNOR
- 1.4 The Universality of NAND
- Chapter 2: Combinational Logic Circuits
- 2.1 The Adder: Half and Full
- 2.2 The Multiplexer (MUX) and Demultiplexer (DEMUX)
- 2.3 The Decoder and Encoder
- 2.4 The Arithmetic Logic Unit (ALU) – The Calculator
- Chapter 3: Sequential Logic and Memory
- 3.1 The Problem of Time: Feedback Loops
- 3.2 The SR Latch and D Flip-Flop
- 3.3 Registers and Shift Registers
- 3.4 Random Access Memory (RAM): Address Decoding and Storage
- Chapter 4: The Processor (CPU) – The Brain
- 4.1 Datapath vs. Control Path
- 4.2 The Clock and Finite State Machines (FSM)
- 4.3 The Instruction Set Architecture (ISA)
- 4.4 The Fetch-Decode-Execute Cycle
- Program Counter (PC)
- Instruction Register (IR)
- Control Unit (CU)
- 4.5 Pipelining and Hazards
- Chapter 5: Machine Code and Assembly Language
- 5.1 Binary Machine Code: Opcodes and Operands
- 5.2 Symbolic Representation: Assembly Mnemonics (MOV, ADD, JMP)
- 5.3 Addressing Modes: Immediate, Direct, Indirect, Indexed
- 5.4 A Simple Assembly Program Example
- Chapter 6: The Compiler – Bridging Human and Machine
- 6.1 Why Not Write Machine Code? Abstraction and Productivity
- 6.2 The Compilation Pipeline: An Overview
- 6.3 Lexical Analysis: Tokenizing Source Code
- 6.4 Syntax Analysis: The Abstract Syntax Tree (AST)
- 6.5 Semantic Analysis: Type Checking and Scope
- 6.6 Intermediate Representation (IR): The Universal Translator
- 6.7 Optimization: Making Code Faster Without Changing Meaning
- 6.8 Code Generation: Translating IR to Assembly
- Chapter 7: The Complete Stack – A Worked Example
- 7.1 High-Level Code:
int x = a + b;
- 7.2 After Compilation (x86-64 Assembly)
- 7.3 After Assembler (Machine Code Hex)
- 7.4 CPU Execution (Fetch, Decode, ALU operation)
- 7.5 Gate-Level Event (Transistor switching in the adder)
- Chapter 8: Modern Extensions and Conclusion
- 8.1 Caches and Virtual Memory
- 8.2 Multi-Core Processors and Parallelism
- 8.3 Just-In-Time (JIT) Compilation
- 8.4 The Future: Quantum and Neuromorphic Computing