A Transducers-based Programming Framework for Efficient Data Transformation

Many data analytics and scientific applications rely on data transformation tasks, such as encoding, decoding, parsing of structured and unstructured data, and conversions between data formats and layouts. Previous work has shown that data transformation can represent a performance bottleneck for da...

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Veröffentlicht in:	2024 33rd International Conference on Parallel Architectures and Compilation Techniques (PACT) S. 66 - 77
Hauptverfasser:	Nguyen, Tri, Becchi, Michela
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	ACM 13.10.2024
Schlagworte:	Codes Computational modeling Computer languages Data analysis Data models Engines Graphics processing units Optimization Programming Transducers
Online-Zugang:	Volltext
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