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UPIR: Toward the Design of Unified Parallel Intermediate Representation for Parallel Programming Models
The complexity of heterogeneous computing architectures, as well as the
demand for productive and portable parallel application development, have
driven the evolution of parallel programming models to become more
comprehensive and complex than before. Enhancing the conventional compilation
technologies and software infrastructure to be parallelism-aware has become one
of the main goals of recent compiler development. In this paper, we propose the
design of unified parallel intermediate representation (UPIR) for multiple
parallel programming models and for enabling unified compiler transformation
for the models. UPIR specifies three commonly used parallelism patterns (SPMD,
data and task parallelism), data attributes and explicit data movement and
memory management, and synchronization operations used in parallel programming.
We demonstrate UPIR via a prototype implementation in the ROSE compiler for
unifying IR for both OpenMP and OpenACC and in both C/C++ and Fortran, for
unifying the transformation that lowers both OpenMP and OpenACC code to LLVM
runtime, and for exporting UPIR to LLVM MLIR dialect.Comment: Typos corrected. Format update