| commit | adfc577895811b5df3935be3b26aec52929afebd | [log] [tgz] |
|---|---|---|
| author | Dominik Adamski <dominik.adamski@amd.com> | Thu Apr 10 09:45:30 2025 +0200 |
| committer | GitHub <noreply@github.com> | Thu Apr 10 09:45:30 2025 +0200 |
| tree | bc64f2ebb9d5234019bfc556e27ac18ab4b10e70 | |
| parent | b122956390a6877536927c2b073a0b99f8b9704f [diff] |
[OpenMP][CodeExtractor]Add align metadata to load instructions (#131131) Moving code to another function can lead to missed optimization opportunities, because function passes operate on smaller chunks of code, and they cannot figure out all details. One example of missed optimization opportunities after code extraction is information about pointer alignment. The instruction combine pass adds information about pointer alignment to LLVM intrinsic memcpy calls if it can deduce it from the code or if align metadata is added. If this information is not present, then further optimization passes can generate inefficient code. If we add align metadata to extracted pointers, then the instruction combine pass can add the align attribute to the LLVM intrinsic memcpy call and unblock further optimization. Scope of changes: 1. Analyze MLIR map operations. Add information about the alignment of objects that are passed by reference to OpenMP GPU kernels. 2. Propagate alignment information to the outlined by `CodeExtractor` helper functions.
Welcome to the LLVM project!
This repository contains the source code for LLVM, a toolkit for the construction of highly optimized compilers, optimizers, and run-time environments.
The LLVM project has multiple components. The core of the project is itself called “LLVM”. This contains all of the tools, libraries, and header files needed to process intermediate representations and convert them into object files. Tools include an assembler, disassembler, bitcode analyzer, and bitcode optimizer.
C-like languages use the Clang frontend. This component compiles C, C++, Objective-C, and Objective-C++ code into LLVM bitcode -- and from there into object files, using LLVM.
Other components include: the libc++ C++ standard library, the LLD linker, and more.
Consult the Getting Started with LLVM page for information on building and running LLVM.
For information on how to contribute to the LLVM project, please take a look at the Contributing to LLVM guide.
Join the LLVM Discourse forums, Discord chat, LLVM Office Hours or Regular sync-ups.
The LLVM project has adopted a code of conduct for participants to all modes of communication within the project.