struct performance

Generated on 8/22/2024

1 search

The topic of struct performance is discussed in the session titled "Explore Swift performance" at WWDC 2024. This session delves into various aspects of Swift's performance, including low-level principles, memory allocation, and value copying, which are relevant to understanding struct performance.

For more specific insights into struct performance, you might want to look at the section on "Memory layout" and "Value copying" in the session. These sections discuss how Swift handles memory and copying operations, which are crucial for optimizing struct performance.

If you are interested in exploring this further, you can check out the session Explore Swift performance (10:34) for memory layout and Explore Swift performance (13:57) for value copying.

Explore Swift performance

Explore Swift performance

Discover how Swift balances abstraction and performance. Learn what elements of performance to consider and how the Swift optimizer affects them. Explore the different features of Swift and how they’re implemented to further understand the tradeoffs available that can impact performance.

Accelerate machine learning with Metal

Accelerate machine learning with Metal

Learn how to accelerate your machine learning transformer models with new features in Metal Performance Shaders Graph. We’ll also cover how to improve your model’s compute bandwidth and quality, and visualize it in the all new MPSGraph viewer.

Analyze heap memory

Analyze heap memory

Dive into the basis for your app’s dynamic memory: the heap! Explore how to use Instruments and Xcode to measure, analyze, and fix common heap issues. We’ll also cover some techniques and best practices for diagnosing transient growth, persistent growth, and leaks in your app.

Port advanced games to Apple platforms

Port advanced games to Apple platforms

Discover how simple it can be to reach players on Apple platforms worldwide. We’ll show you how to evaluate your Windows executable on Apple silicon, start your game port with code samples, convert your shader code to Metal, and bring your game to Mac, iPhone, and iPad. Explore enhanced Metal tools that understand HLSL shaders to validate, debug, and profile your ported shaders on Metal.

Deploy machine learning and AI models on-device with Core ML

Deploy machine learning and AI models on-device with Core ML

Learn new ways to optimize speed and memory performance when you convert and run machine learning and AI models through Core ML. We’ll cover new options for model representations, performance insights, execution, and model stitching which can be used together to create compelling and private on-device experiences.

What’s new in Xcode 16

What’s new in Xcode 16

Discover the latest productivity and performance improvements in Xcode 16. Learn about enhancements to code completion, diagnostics, and Xcode Previews. Find out more about updates in builds and explore improvements in debugging and Instruments.