SUMMARY.md

Summary

• Intro
• Data-Oriented Design
  • All About Data
  • The Problem Domain
  • Data and Statistics
  • Data Changes
  • How is Data Formed
  • Providing a Computational Framework
• Existence Based Processing
  • Why use an if
  • Dont use bools
  • Dont use enums
  • Prelude to polymorphism
  • Dynamic runtime polymorphism
  • Event handling
• Component Oriented Development
  • Components in the wild
  • Away from the Hierarchy
  • Towards Managers
  • There is no Entity
• Hierarchical Level of Detail
  • Existence from null to infinity
  • Mementos
  • JIT data generation
  • Alternative Axes
• Conditional Flow
  • Building Questions
  • Flip it on its head
  • Logging decisions for debug
  • Branching without branching
• Finite State Machines
  • Tables as states
  • Implementing transitions
  • Condition tables as triggers
  • Conditions as events
• Searching
  • Indexes
  • A data-oriented lookup
  • Finding lowest or highest is a sorting problem
  • Finding random is a hash/tree issue
• Sorting
  • Do you need to?
  • Maintain by insertion sort or parallel merge sort
  • Sorting for your platfom
• An Entity Relational Approach
  • How does relational data differ?
  • Normalisation
  • Implicit Entities
  • Components imply entities
  • Cosmic Hierarchies
  • Structs of Arrays
  • Stream Processing
  • Beautiful Homogeneity
• Optimisation
  • Tables
  • Transforms
  • Spatial sets for collisions
  • Lazy Evaluation for the masses
  • Not getting what you didn’t ask for
  • Varying Length Sets
  • Bit twiddling decision tables
  • Data driven techniques
• Concurrency
  • What it means to be thread-safe
  • Inherently concurrent operations
  • Queues as gateways, and “Now”
• Examples
  • Data-manipulation
  • Game entities
• Maintenance and Other Real World Issues
  • Debugging
  • Reusability
  • Unit Testing
  • Refactoring
• Design Patterns
  • Data-Oriented Design Patterns
  • Existing design patterns
  • Locking out anti-patterns
• What's The Harm In Object-Oriented Design?
  • The Harm
  • Mapping the problem
  • Internalised state
  • Hierarchical design
  • Divions of labour
  • Reusable generic code
• Hardware - Hopes, Dreams, and History
  • Sequential data
  • Deep Pipes
  • Microcode: virtually function calls.
  • Single Instruction Multiple Data
  • Predictable instructions
• Concerns For The Future
  • Parallel Processing
  • Concurrent Design
  • Distributed computing
  • Runtime hardware configuration
  • Data centric development in hardware design
• Count
  • Learning to count
  • Counting to find out facts
  • Domain Knowledge
  • Discovering facts from counting