Scheduling Languages: A Past, Present, and Future Taxonomy
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arXiv
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| Main Authors: | , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866909366197682176 |
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| author | Hall, Mary Oancea, Cosmin Elster, Anne C. Rasch, Ari Joshi, Sameeran Tavakkoli, Amir Mohammad Schulze, Richard |
| author_facet | Hall, Mary Oancea, Cosmin Elster, Anne C. Rasch, Ari Joshi, Sameeran Tavakkoli, Amir Mohammad Schulze, Richard |
| contents | Scheduling languages express to a compiler a sequence of optimizations to apply. Compilers that support a scheduling language interface allow exploration of compiler optimizations, i.e., exploratory compilers. While scheduling languages have become a common feature of tools for expert users, the proliferation of these languages without unifying common features may be confusing to users. Moreover, we recognize a need to organize the compiler developer community around common exploratory compiler infrastructure, and future advances to address, for example, data layout and data movement. To support a broader set of users may require raising the level of abstraction. This paper provides a taxonomy of scheduling languages, first discussing their origins in iterative compilation and autotuning, noting the common features and how they are used in existing frameworks, and then calling for changes to increase their utility and portability. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2410_19927 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Scheduling Languages: A Past, Present, and Future Taxonomy Hall, Mary Oancea, Cosmin Elster, Anne C. Rasch, Ari Joshi, Sameeran Tavakkoli, Amir Mohammad Schulze, Richard Programming Languages Distributed, Parallel, and Cluster Computing Performance Scheduling languages express to a compiler a sequence of optimizations to apply. Compilers that support a scheduling language interface allow exploration of compiler optimizations, i.e., exploratory compilers. While scheduling languages have become a common feature of tools for expert users, the proliferation of these languages without unifying common features may be confusing to users. Moreover, we recognize a need to organize the compiler developer community around common exploratory compiler infrastructure, and future advances to address, for example, data layout and data movement. To support a broader set of users may require raising the level of abstraction. This paper provides a taxonomy of scheduling languages, first discussing their origins in iterative compilation and autotuning, noting the common features and how they are used in existing frameworks, and then calling for changes to increase their utility and portability. |
| title | Scheduling Languages: A Past, Present, and Future Taxonomy |
| topic | Programming Languages Distributed, Parallel, and Cluster Computing Performance |
| url | https://arxiv.org/abs/2410.19927 |