Charu Chandrasekaran, Apple Marcello Maggioni, Apple PDF
Preview Charu Chandrasekaran, Apple Marcello Maggioni, Apple
Apple LLVM GPU Compiler: Embedded Dragons Charu Chandrasekaran, Apple Marcello Maggioni, Apple 1 Agenda • How Apple uses LLVM to build a GPU Compiler • Factors that affect GPU performance • The Apple GPU compiler • Pipeline passes • Challenges 2 How Apple uses LLVM • Live on Trunk and merge continuously • Benefit from latest improvements on trunk • Identify any regressions immediately and report back • Minimize changes to open source llvm code • Reuse as much as possible 3 Continuous Integration LLVM Trunk GPU Compiler Year 1 production compiler 4 Continuous Integration LLVM Trunk GPU Compiler Year 1 production compiler 5 Continuous Integration LLVM Trunk GPU Compiler Year 1 Year 2 Year 3 production production production compiler compiler compiler 6 3 Testing • Regression testing involves: • register count • instruction count FileCheck : correctness • compile time • • compiler size runtime performance • 7 The GPU SW Stack IR XPC Service iOS / watchOS / tvOS Process Metal-FE App Interacts Metal Framework, User GPU Driver XPC Service Shader Result Backend .metal .exec IR .obj 8 About GPUs 9 About GPUs Shader Core PC LANE 0 LANE 1 LANE 2 LANE 3 LANE 4 LANE 5 LANE 6 LANE 7 GPUs are massively parallel vector processors Threads are grouped together and execute in lockstep (they share the same PC) 10
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