Performance improvements?
Generated on 7/31/2024
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Apple announced several performance improvements across different tools and frameworks at WWDC 2024. Here are some highlights:
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Xcode 16:
- Previews: Faster than ever due to advances in the compiler and a new execution engine. (What’s new in Xcode 16)
- Builds: Supercharged with explicit modules, providing improved parallelism, better diagnostics, and faster debugging. (What’s new in Xcode 16)
- Thread Performance Checker: Now shows excessive disk write and slow app launch diagnostics to help improve app performance. (What’s new in Xcode 16)
- Flame Graphs: A new visual way of seeing call stacks to find performance issues. (What’s new in Xcode 16)
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Swift:
- Optimization: Swift has a powerful optimizer that eliminates many performance issues. Regular monitoring and measuring of performance hotspots are recommended. (Explore Swift performance)
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Machine Learning with Metal:
- Transformer Models: Improved compute performance, memory bandwidth savings, and quality improvements. (Accelerate machine learning with Metal)
- MPS Graph Viewer: Helps visualize ML models to understand runtime performance characteristics. (Accelerate machine learning with Metal)
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Core ML:
- Performance Tools: New tools to optimize the performance of ML models on Apple devices. (Platforms State of the Union)
These improvements span across development tools, programming languages, and machine learning frameworks, providing developers with enhanced capabilities to optimize and improve the performance of their applications.
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.
Platforms State of the Union
Discover the newest advancements on Apple platforms.
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
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.
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.