Session
Metal & Swift: Building High-Performance Graphics and ML-Accelerated Apps
The current age of AI-powered mobile applications and superior graphics demands developers to fully utilize the capabilities of Apple’s Metal framework. Metal delivers swift GPU acceleration which supports real-time rendering and computational photography together with AR/VR applications and AI model inference on devices while maintaining power efficiency in apps.
Developers working on iOS and macOS applications can learn how to use GPU-accelerated Metal computing with Swift to maximize their app performance in this session. Our exploration covers practical applications of optimized Core ML models using Metal Performance Shaders (MPS) along with real-time graphics rendering and advanced compute kernels specifically designed for contemporary Apple hardware.
Key Takeaways:
✔ Understanding Metal vs. Core Animation vs. OpenGL: Developers need to understand the differences between Metal and other graphic technologies to grasp why Metal represents the future.
✔ Using Metal for High-Performance Graphics: Real-time rendering, shaders, and gaming applications.
✔ Accelerating AI & ML Models with Metal Performance Shaders (MPS): Optimizing on-device AI for faster inference.
✔ Advanced GPU Compute for Performance Gains: Metal compute kernels deliver high-performance solutions for demanding computational tasks.
✔ Best Practices for Power Efficiency & Performance Optimization: Achieving maximum GPU performance requires strategies that reduce energy consumption.
Why This Talk?
Despite its underutilization in iOS/macOS development Metal delivers exceptional performance benefits for modern applications.
The session addresses the trending subject of AI/ML acceleration by connecting GPU computing techniques to machine learning optimization strategies.
📌 Practical, real-world applications: The workshop provides practical insights for game development and AI iPhone applications that participants can apply directly to their projects.
The session demonstrates live coding examples and real-world performance metrics while teaching optimal methods for Metal integration into iOS and macOS apps to enable developers to create cutting-edge high-performance Swift applications.
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