An Autonomous Data Language

Tom T.P. Franken; Thomas Neele; Jan Friso Groote

doi:10.1007/978-3-031-47963-2_11

An Autonomous Data Language

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

2 Citations (Scopus)

20 Downloads (Pure)

Abstract

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 include an operational semantics. Programming in AuDaLa is very natural, as illustrated by examples, albeit in a style very different from sequential and contemporary parallel programming.

Original language	English
Title of host publication	Theoretical Aspects of Computing – ICTAC 2023
Subtitle of host publication	20th International Colloquium, Lima, Peru, December 4–8, 2023, Proceedings
Editors	Erika Ábrahám, Clemens Dubslaff, Silvia Lizeth Tapia Tarifa
Publisher	Springer
Pages	158-177
Number of pages	20
ISBN (Electronic)	978-3-031-47963-2
ISBN (Print)	978-3-031-47962-5
DOIs	https://doi.org/10.1007/978-3-031-47963-2_11
Publication status	Published - 23 Nov 2023
Event	20th International Colloquium on Theoretical Aspects of Computing, ICTAC 2023 - Lima, Peru Duration: 4 Dec 2023 → 8 Dec 2023

Publication series

Name	Lecture Notes in Computer Science (LNCS)
Volume	14446
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	20th International Colloquium on Theoretical Aspects of Computing, ICTAC 2023
Country/Territory	Peru
City	Lima
Period	4/12/23 → 8/12/23

Keywords

Data-Autonomous
Operational Semantics
Programming Language

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10.1007/978-3-031-47963-2_11

pdfFinal published version, 1.23 MBLicence: TAVERNE

Cite this

Franken, T. T. P., Neele, T., & Groote, J. F. (2023). An Autonomous Data Language. In E. Ábrahám, C. Dubslaff, & S. L. Tapia Tarifa (Eds.), Theoretical Aspects of Computing – ICTAC 2023: 20th International Colloquium, Lima, Peru, December 4–8, 2023, Proceedings (pp. 158-177). (Lecture Notes in Computer Science (LNCS); Vol. 14446). Springer. https://doi.org/10.1007/978-3-031-47963-2_11

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abstract = "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 include an operational semantics. Programming in AuDaLa is very natural, as illustrated by examples, albeit in a style very different from sequential and contemporary parallel programming.",

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booktitle = "Theoretical Aspects of Computing – ICTAC 2023",

address = "Germany",

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Franken, TTP , Neele, T & Groote, JF 2023, An Autonomous Data Language. in E Ábrahám, C Dubslaff & SL Tapia Tarifa (eds), Theoretical Aspects of Computing – ICTAC 2023: 20th International Colloquium, Lima, Peru, December 4–8, 2023, Proceedings. Lecture Notes in Computer Science (LNCS), vol. 14446, Springer, pp. 158-177, 20th International Colloquium on Theoretical Aspects of Computing, ICTAC 2023, Lima, Peru, 4/12/23. https://doi.org/10.1007/978-3-031-47963-2_11

An Autonomous Data Language. / Franken, Tom T.P. (Corresponding author); Neele, Thomas ; Groote, Jan Friso.
Theoretical Aspects of Computing – ICTAC 2023: 20th International Colloquium, Lima, Peru, December 4–8, 2023, Proceedings. ed. / Erika Ábrahám; Clemens Dubslaff; Silvia Lizeth Tapia Tarifa. Springer, 2023. p. 158-177 (Lecture Notes in Computer Science (LNCS); Vol. 14446).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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An Autonomous Data Language

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Keywords

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