Metal and MetalKit

Presented at Swift Mumbai Meetup at Here Technologies
https://www.meetup.com/SwiftMumbai/events/266462321/

Introduction to the powerful Metal and MetalKit frameworks. To understand where and how to utilize their capabilities.
And how to use Metal framework to build in running machine learning models in iOS.

Speaker: Akanksha Sharma, Senior Software Engineer at Here Maps
GitHub: https://github.com/akanksharma
Twitter: https://twitter.com/akanksharmaa

Transcript

1. Metal and Metal Kit By- Akanksha Sharma Twitter : @akanksharmaa
2. Contents • What is Metal and MetalKit • Origin and Requirement • Capabilities • Usage of Metal in frameworks • Metal in Machine Learning • Metal in Simulator
3. What is Metal? • Was introduced in 2014 with A7 chip • Low overhead, high performance and incredibly efficient GPU Programming API
4. Long history of GPU programming APIs Standards—OpenGL, OpenCL Domains—High level, low level, 2D, 3D Architectures—Platforms, devices, GPUs
5. Then Apple introduced DEEP INTEGRATION
9. Shading Language Based on C++11 • Static subset • Built from LLVM and clang Additions • GPU hardware features (texture sampling, rasterization, compute operations, etc.) • Function overloading and templates
10. Metal shaders built by Xcode compiler into Metal library files • Library contains archive of Metal shaders • With run-time APIs - Load a Metal library - Finalize compilation to GPU machine code
11. Basic Addition
12. Argument Tables
15. Multithreading in Metal
17. Metal in Machine Learning
19. Linear Algebra Matrix-Matrix Multiplication Matrix-Vector Multiplication Triangular Matrix Factorization and Linear Solvers
20. MPSVector • Interprets data in MTLBuffer as a 1-dimensional array MPSMatrix • Interprets data in MTLBuffer as a rectangular array • Row-major order MPSTemporaryMatrix • Allocated from MTLHeap • Use for most of your intermediate matrices
26. What’s new in MPS this year • Support for new networks • Improved performance • Easier to use
28. Apple Frameworks using Metal
30. Thank You!!