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The complexity of heterogeneous computing architectures, as well as thedemand for productive and portable parallel application development, havedriven the evolution of parallel programming models to become morecomprehensive and complex than before. Enhancing the conventional compilationtechnologies and software infrastructure to be parallelism-aware has become oneof the main goals of recent compiler development. In this paper, we propose thedesign of unified parallel intermediate representation (UPIR) for multipleparallel programming models and for enabling unified compiler transformationfor the models. UPIR specifies three commonly used parallelism patterns (SPMD,data and task parallelism), data attributes and explicit data movement andmemory management, and synchronization operations used in parallel programming.We demonstrate UPIR via a prototype implementation in the ROSE compiler forunifying IR for both OpenMP and OpenACC and in both C/C++ and Fortran, forunifying the transformation that lowers both OpenMP and OpenACC code to LLVMruntime, and for exporting UPIR to LLVM MLIR dialect.

UPIR: Toward the Design of Unified Parallel Intermediate Representation for Parallel Programming Models