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- W2945892014 abstract "Nowadays, optimizing compilers are increasingly challenged by the diversity of programming languages and heterogeneity of architectures. The polyhedral model is a powerful mathematical framework for programs to exploit automatic parallelization and locality optimization, playing an important role in the field of optimizing compilers. A long standing limitation of the model has been its restriction to static control affine programs, resulting in an emergent demand for the support of non-affine extensions. This is particularly acute in the context of heterogeneous architectures where a variety of computation kernels need to be analyzed and transformed to match the constraints of hardware accelerators and to manage data transfers across memory spaces. We explore multiple non-affine extensions of the polyhedral model, in the context of a welldefined intermediate language combining affine and syntactic elements. On the one hand, we explain how transformations and code generation for loops with non-affine, data-dependent and dynamic loop bounds are integrated into a polyhedral framework, extending the applicable domain of polyhedral compilation in the realm of non-affine applications. On the other hand, we describe the integration of overlapped tiling for stencil computations into a general polyhedral framework, automating non-affine transformations in polyhedral compilation. We evaluate our techniques on both CPU and GPU architectures, validating the effectiveness of the optimizations by conducting an in-depth performance comparison with state-of-the-art frameworks and manually-written libraries." @default.
- W2945892014 created "2019-05-29" @default.
- W2945892014 creator A5000546902 @default.
- W2945892014 date "2018-12-13" @default.
- W2945892014 modified "2023-09-23" @default.
- W2945892014 title "A combined language and polyhedral approach to heterogeneous parallelism" @default.
- W2945892014 hasPublicationYear "2018" @default.
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