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Publications of SPCL

T. Gysi, C. Müller, O. Zinenko, S. Herhut, E. Davis, T. Wicky, O. Fuhrer, T. Hoefler, T. Grosser:

 Domain-Specific Multi-Level IR Rewriting for GPU: The Open Earth Compiler for GPU-Accelerated Climate Simulation

(ACM Trans. Archit. Code Optim.. Vol 18, Nr. 4, Association for Computing Machinery, ISSN: 1544-3566, 2021)

Abstract

Most compilers have a single core intermediate representation (IR) (e.g., LLVM) sometimes complemented with vaguely defined IR-like data structures. This IR is commonly low-level and close to machine instructions. As a result, optimizations relying on domain-specific information are either not possible or require complex analysis to recover the missing information. In contrast, multi-level rewriting instantiates a hierarchy of dialects (IRs), lowers programs level-by-level, and performs code transformations at the most suitable level. We demonstrate the effectiveness of this approach for the weather and climate domain. In particular, we develop a prototype compiler and design stencil- and GPU-specific dialects based on a set of newly introduced design principles. We find that two domain-specific optimizations (500 lines of code) realized on top of LLVM’s extensible MLIR compiler infrastructure suffice to outperform state-of-the-art solutions. In essence, multi-level rewriting promises to herald the age of specialized compilers composed from domain- and target-specific dialects implemented on top of a shared infrastructure.

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BibTeX

@article{,
  author={Tobias Gysi and Chrisoph Müller and Oleksandr Zinenko and Stephan Herhut and Eddie Davis and Tobias Wicky and Oliver Fuhrer and Torsten Hoefler and Tobias Grosser},
  title={{Domain-Specific Multi-Level IR Rewriting for GPU: The Open Earth Compiler for GPU-Accelerated Climate Simulation}},
  journal={ACM Trans. Archit. Code Optim.},
  year={2021},
  month={sep},
  volume={18},
  number={4},
  publisher={Association for Computing Machinery},
  issn={1544-3566},
}