NOELLE Offers Empowering LLVM Extensions [abstract] (PDF)
Angelo Matni, Enrico Armenio Deiana, Yian Su, Lukas Gross, Souradip Ghosh, Sotiris Apostolakis, Ziyang Xu, Zujun Tan, Ishita Chaturvedi, Brian Homerding, Tommy McMichen, David I. August, and Simone Campanoni
Proceedings of the 2022 International Symposium on Code Generation and Optimization, February 2022.
Accept Rate: 27% (27/99).
Awarded ACM Artifact Available, Artifact Functional, and Result Reproduced Badges.

Modern and emerging architectures demand increasingly complex compiler analyses and transformations. As the emphasis on compiler infrastructure moves beyond support for peephole optimizations and the extraction of instruction-level parallelism, they should support custom tools designed to meet these demands with higher-level analysis-powered abstractions and functionalities of wider program scope. This paper introduces NOELLE, a robust open-source domain-independent compilation layer built upon LLVM providing this support. NOELLE extends abstractions and functionalities provided by LLVM enabling advanced, program-wide code analyses and transformations.This paper shows the power of NOELLE by presenting a diverse set of 11 custom tools built upon it.