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Unity Game Optimization

Unity Game Optimization

By : Dr. Davide Aversa , Dickinson
5 (1)
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Unity Game Optimization

Unity Game Optimization

5 (1)
By: Dr. Davide Aversa , 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)
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1
Section 1: Base Scripting Optimization
4
Section 2: Graphical Optimizations
9
Section 3: Advance Optimizations

Detecting performance issues

When you start looking at issues in your game, lighting is often neglected. That's a novice mistake. In the following sections, we will see how to detect and solve lighting-related performance issues.

Profiling rendering issues

The Profiler can be used to quickly narrow down which of the two devices used in the Rendering Pipeline we are bottlenecked within—whether it is the CPU or GPU. We must examine the problem using both the CPU Usage and GPU Usage Areas of the Profiler window, as this can tell us which device is working the hardest.

The following screenshot shows Profiler data for a CPU-bound application. The test involved creating thousands of simple cube objects, with no batching...

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