Book Image

Unity Game Optimization - Third Edition

By : Dr. Davide Aversa, Chris Dickinson
Book Image

Unity Game Optimization - Third Edition

By: Dr. Davide Aversa, Chris Dickinson

Overview of this book

Unity engine comes with a great set of features to help you build high-performance games. This Unity book is your guide to optimizing various aspects of your game development, from game characters and scripts, right through to animations. You’ll explore techniques for writing better game scripts and learn how to optimize a game using Unity technologies such as ECS and the Burst compiler. The book will also help you manage third-party tooling used with the Unity ecosystem. You’ll also focus on the problems in the performance of large games and virtual reality (VR) projects in Unity, gaining insights into detecting performance issues and performing root cause analysis. As you progress, you’ll discover best practices for your Unity C# script code and get to grips with usage patterns. Later, you’ll be able to optimize audio resources and texture files, along with effectively storing and using resource files. You’ll then delve into the Rendering Pipeline and learn how to identify performance problems in the pipeline. In addition to this, you’ll learn how to optimize the memory and processing unit of Unity. Finally, you’ll cover tips and tricks used by Unity professionals to improve the project workflow. By the end of this book, you’ll have developed the skills you need to build interactive games using Unity and its components.
Table of Contents (15 chapters)
Free Chapter
Section 1: Base Scripting Optimization
Section 2: Graphical Optimizations
Section 3: Advance Optimizations

Gathering profiling data using the Unity Profiler

The Unity Profiler is built into the Unity Editor itself and provides an expedient way of narrowing down our search for performance bottlenecks by generating usage and statistics reports on a multitude of Unity3D subsystems during runtime. The different subsystems for which it can gather data are listed as follows:

  • CPU consumption (per-major subsystem)
  • Basic and detailed rendering and GPU information
  • Runtime memory allocations and overall consumption
  • Audio source/data usage
  • Physics engine (2D and 3D) usage
  • Network messaging and operation usage
  • Video playback usage
  • Basic and detailed user interface performance
  • Global Illumination (GI) statistics

There are generally two approaches to making use of a profiling tool: instrumentation and benchmarking (although, admittedly, the two terms are often used interchangeably).