Understanding the Ethereum Virtual Machine: A Technical Guide

Added:

EVM Overview
Stack Mechanics
Memory Layout
Calldata and Storage
Opcodes Connection
Bytecode Analysis
Transaction Flow
Function Dispatch

EVM Overview

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Playing Section
  • 1

    Covers the six data storage areas in the EVM.

  • 2

    Focuses on stack, memory, calldata, and storage.

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    Aims to provide a complete guide for mastering the EVM.

Basic understanding of blockchain technology, peer-to-peer networks, and the Ethereum state transition model.
Familiarity with writing and deploying basic smart contracts in a high-level language like Solidity.
Fundamental concepts of computer architecture, specifically how stack-based virtual machines, memory allocation, and persistent storage work.
Elementary knowledge of cryptography as used in Ethereum, including hashing algorithms (Keccak-256) and digital signatures.
Mastery of Yul and Inline Assembly to write low-level, hyper-optimized Ethereum code.
Advanced smart contract security auditing, including bytecode analysis, reverse engineering, and identifying EVM-level vulnerabilities like reentrancy and delegatecall exploits.
Implementation of complex gas-optimization techniques, such as storage packing, bit manipulation, and custom opcode strategies.
Study of client-level EVM implementations (e.g., Geth or Reth) and next-generation blockchain execution environments like the EVM Object Format (EOF) or WebAssembly (eWASM).
10.1K views388likes35:16@0xOwenThurmOriginal Release: 2023-06-15

The Ethereum Virtual Machine (EVM) operates using four distinct data storage areas: the stack (a LIFO structure for 32-byte words used for computation), memory (a dynamic 32-byte word space with a free memory pointer at 0x40 initially pointing to 0x80), call data (read-only input data cheaper to access), and storage (permanent, expensive 32-byte word storage organized as Patricia Merkle tries). These areas interact through opcodes—single-byte hexadecimal instructions like PUSH, POP, MSTORE, MLOAD, SSTORE, and SLOAD—that execute function calls by validating inputs, extracting function selectors from call data, and routing execution to appropriate logic locations using conditional jumps (JUMPI).