The Autonomous Data Language -- Concepts, Design and Formal Verification
Fuente:
arXiv
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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866914194772721664 |
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| author | Franken, Tom T. P. Neele, Thomas Groote, Jan Friso |
| author_facet | Franken, Tom T. P. Neele, Thomas Groote, Jan Friso |
| contents | Nowadays, the main advances in computational power are due to parallelism. However, most parallel languages have been designed with a focus on processors and threads. This makes dealing with data and memory in programs hard, which distances the implementation from its original algorithm. We propose a new paradigm for parallel programming, the data-autonomous paradigm, where computation is performed by autonomous data elements. Programs in this paradigm are focused on making the data collaborate in a highly parallel fashion. We furthermore present AuDaLa, the first data autonomous programming language, and provide a full formalisation that includes a type system and operational semantics. Programming in AuDaLa is very natural, as illustrated by examples, albeit in a style very different from sequential and contemporary parallel programming. Additionally, it lends itself for the formal verification of parallel programs, which we demonstrate. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_19457 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | The Autonomous Data Language -- Concepts, Design and Formal Verification Franken, Tom T. P. Neele, Thomas Groote, Jan Friso Programming Languages Distributed, Parallel, and Cluster Computing D.3.1; F.3.1; F.3.2 Nowadays, the main advances in computational power are due to parallelism. However, most parallel languages have been designed with a focus on processors and threads. This makes dealing with data and memory in programs hard, which distances the implementation from its original algorithm. We propose a new paradigm for parallel programming, the data-autonomous paradigm, where computation is performed by autonomous data elements. Programs in this paradigm are focused on making the data collaborate in a highly parallel fashion. We furthermore present AuDaLa, the first data autonomous programming language, and provide a full formalisation that includes a type system and operational semantics. Programming in AuDaLa is very natural, as illustrated by examples, albeit in a style very different from sequential and contemporary parallel programming. Additionally, it lends itself for the formal verification of parallel programs, which we demonstrate. |
| title | The Autonomous Data Language -- Concepts, Design and Formal Verification |
| topic | Programming Languages Distributed, Parallel, and Cluster Computing D.3.1; F.3.1; F.3.2 |
| url | https://arxiv.org/abs/2506.19457 |