Uploaded November 2025 | Updated September 2026, 2 weeks ago
2025 US LLVM Developers' Meeting
llvm.org/devmtg/2025-10
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Title: Extending ThinLTO Support for AMDGPU
Speaker: Speaker: Shilei Tian
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Slides: llvm.org/devmtg/2025-10/slides/quick_talks/tian.pdf
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In this talk, we'll briefly introduce the ongoing effort to support ThinLTO for AMDGPU. We'll start by discussing the motivation for enabling ThinLTO and the current limitations in the AMDGPU ABI that prevent us from using it out of the box. By default, ThinLTO compiles modules from each translation unit in parallel, effectively following a split scheme based on translation units. To work around some of the limitations, we've made targeted modifications to the existing ThinLTO infrastructure. However, not all limitations can be addressed with workarounds. To properly support ThinLTO, we'll introduce a new split scheme that divides the program based on a graph constructed from the module summary. The remaining ThinLTO infrastructure will then compile the resulting splits in parallel, instead of compiling modules per translation unit as ThinLTO does by default. We also expect this new scheme to benefit other GPU targets that don't share the same ABI constraints as AMDGPU.
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Videos Edited by Bash Films: BashFilms.com
2025 US LLVM Developers' Meeting
llvm.org/devmtg/2025-10
------
Title: Extending ThinLTO Support for AMDGPU
Speaker: Speaker: Shilei Tian
------
Slides: llvm.org/devmtg/2025-10/slides/quick_talks/tian.pdf
-----
In this talk, we'll briefly introduce the ongoing effort to support ThinLTO for AMDGPU. We'll start by discussing the motivation for enabling ThinLTO and the current limitations in the AMDGPU ABI that prevent us from using it out of the box. By default, ThinLTO compiles modules from each translation unit in parallel, effectively following a split scheme based on translation units. To work around some of the limitations, we've made targeted modifications to the existing ThinLTO infrastructure. However, not all limitations can be addressed with workarounds. To properly support ThinLTO, we'll introduce a new split scheme that divides the program based on a graph constructed from the module summary. The remaining ThinLTO infrastructure will then compile the resulting splits in parallel, instead of compiling modules per translation unit as ThinLTO does by default. We also expect this new scheme to benefit other GPU targets that don't share the same ABI constraints as AMDGPU.
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Videos Edited by Bash Films: BashFilms.com
