Abstract
Programmers who need high performance currently rely on low-level, architecture-specific programming models (e.g. OpenMP for CMPs, CUDA for GPUs, MPI for clusters). Performance optimization with these frameworks usually requires expertise in the specific programming model and a deep understanding of the target architecture. Domain-specific languages (DSLs) are a promising alternative, allowing compilers to map problem-specific abstractions directly to low-level architecture-specific programming models. However, developing DSLs is difficult, and using multiple DSLs together in a single application is even harder because existing compiled solutions do not compose together. In this paper, we present four new performance-oriented DSLs developed with Delite, an extensible DSL compilation framework. We demonstrate new techniques to compose compiled DSLs embedded in a common backend together in a single program and show that generic optimizations can be applied across the different DSL sections. Our new DSLs are implemented with a small number of reusable components (less than 9 parallel operators total) and still achieve performance up to 125x better than library implementations and at worst within 30% of optimized stand-alone DSLs. The DSLs retain good performance when composed together, and applying cross-DSL optimizations results in up to an additional 1.82x improvement.
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Sujeeth, A.K. et al. (2013). Composition and Reuse with Compiled Domain-Specific Languages. In: Castagna, G. (eds) ECOOP 2013 – Object-Oriented Programming. ECOOP 2013. Lecture Notes in Computer Science, vol 7920. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39038-8_3
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DOI: https://doi.org/10.1007/978-3-642-39038-8_3
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