2018 EuroLLVM Developers’ Meeting: M. Arenaz “Parallware, LLVM and supercomputing”

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Parallware, LLVM and supercomputing - Manuel Arenaz, University of A Coruña & Appentra Solutions

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The HPC market is racing to build the next breakthrough exascale technologies by 2024. The high potential of HPC is being hindered by software issues, and porting software to new parallel hardware is one of the most significant costs in the adoption of breakthrough hardware technologies. Parallware technology innovation hinges on its different approach to dependence and data-flow analyses. LLVM uses the classical mathematical approach to dependence analysis, applying dependence tests and the polyhedral model mainly to vectorization of inner loops. In contrast Parallware uses a semantic analysis engine powered by a fast, extensible, hierarchical classification scheme to find parallel patterns in the LLVM-IR. The technical talk proposed for EuroLLVM will present the key challenges being addressed at Appentra: (1) Pros and cons of developing Parallware’s classification scheme on top of the LLVM-IR; (2) Parallware use of Clang and Flang to map the semantic information collected in the LLVM-IR back to the source code; (3) Parallware mechanisms to annotate and refactor the source code in order to produce OpenMP/OpenACC-enabled parallel code.
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