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

Tom T.P. Franken (Corresponderende auteur)
, Thomas Neele
, Jan Friso Groote

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

2 Citaten (Scopus)

24 Downloads (Pure)

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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.

Originele taal-2	Engels
Titel	Theoretical Aspects of Computing – ICTAC 2023
Subtitel	20th International Colloquium, Lima, Peru, December 4–8, 2023, Proceedings
Redacteuren	Erika Ábrahám, Clemens Dubslaff, Silvia Lizeth Tapia Tarifa
Uitgeverij	Springer
Pagina's	158-177
Aantal pagina's	20
ISBN van elektronische versie	978-3-031-47963-2
ISBN van geprinte versie	978-3-031-47962-5
DOI's	https://doi.org/10.1007/978-3-031-47963-2_11
Status	Gepubliceerd - 23 nov. 2023
Evenement	20th International Colloquium on Theoretical Aspects of Computing, ICTAC 2023 - Lima, Peru Duur: 4 dec. 2023 → 8 dec. 2023

Publicatie series

Naam	Lecture Notes in Computer Science (LNCS)
Volume	14446
ISSN van geprinte versie	0302-9743
ISSN van elektronische versie	1611-3349

Congres

Congres	20th International Colloquium on Theoretical Aspects of Computing, ICTAC 2023
Land/Regio	Peru
Stad	Lima
Periode	4/12/23 → 8/12/23

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

pdfDefinitieve gepubliceerde versie, 1,23 MBLicentie: TAVERNE

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Franken, T. T. P., Neele, T., & Groote, J. F. (2023). An Autonomous Data Language. In E. Ábrahám, C. Dubslaff, & S. L. Tapia Tarifa (editors), Theoretical Aspects of Computing – ICTAC 2023: 20th International Colloquium, Lima, Peru, December 4–8, 2023, Proceedings (blz. 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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title = "An Autonomous Data Language",

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.",

keywords = "Data-Autonomous, Operational Semantics, Programming Language",

author = "Franken, \{Tom T.P.\} and Thomas Neele and Groote, \{Jan Friso\}",

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doi = "10.1007/978-3-031-47963-2\_11",

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

address = "Germany",

note = "20th International Colloquium on Theoretical Aspects of Computing, ICTAC 2023 ; Conference date: 04-12-2023 Through 08-12-2023",

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Franken, TTP , Neele, T & Groote, JF 2023, An Autonomous Data Language. in E Ábrahám, C Dubslaff & SL Tapia Tarifa (reds.), 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, blz. 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. (Corresponderende auteur); Neele, Thomas ; Groote, Jan Friso.
Theoretical Aspects of Computing – ICTAC 2023: 20th International Colloquium, Lima, Peru, December 4–8, 2023, Proceedings. reds. / Erika Ábrahám; Clemens Dubslaff; Silvia Lizeth Tapia Tarifa. Springer, 2023. blz. 158-177 (Lecture Notes in Computer Science (LNCS); Vol. 14446).

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

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AU - Groote, Jan Friso

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N2 - 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.

AB - 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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KW - Operational Semantics

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An Autonomous Data Language

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