75bf739208
This patch makes GPU throughput benchmark results more comparable across targets by disabling loop unrolling in the benchmark loop. Motivation: * PTX (post-LTO) evidence on NVPTX: for libc `sin`, the generated PTX shows the `throughput` loop unrolled 8x at `N=128` (one iteration advances the input pointer by 64 bytes = 8 doubles), interleaving eight independent chains before the back-edge. This hides latency and significantly reduces cycles/call as the batch size `N` grows. * Observed scaling (NVPTX measurements): with unrolling enabled, `sin` dropped from ~3,100 cycles/call at `N=1` to ~360 at `N=128`. After enforcing `#pragma clang loop unroll(disable)`, results stabilized (e.g., from ~3100 cycles/call at `N=1` to ~2700 at `N=128`). * libdevice contrast: the libdevice `sin` path did not exhibit a similar drop in our measurements, and the PTX appears as compact internal calls rather than a long FMA chain, leaving less ILP for the outer loop to extract. What this change does: * Applies `#pragma clang loop unroll(disable)` to the GPU `throughput()` loop in both NVPTX and AMDGPU backends. Leaving unrolling entirely to the optimizer makes apples-to-apples comparisons uneven (e.g., libc vs. vendor). Disabling unrolling yields fairer, more consistent numbers.
The LLVM Compiler Infrastructure
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.
Getting the Source Code and Building LLVM
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.
Getting in touch
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.