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A DSL-based runtime adaptivity framework for Java

Title
A DSL-based runtime adaptivity framework for Java
Type
Article in International Scientific Journal
Year
2023
Authors
Carvalho, T
(Author)
Other
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Pinto, P
(Author)
Other
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Journal
Title: SoftwareXImported from Authenticus Search for Journal Publications
Vol. 23
Publisher: Elsevier
Indexing
Publicação em ISI Web of Knowledge ISI Web of Knowledge - 0 Citations
Publicação em Scopus Scopus - 0 Citations
Other information
Authenticus ID: P-00Z-14W
Abstract (EN): This article presents Kadabra, a Java source-to-source compiler that allows users to make code queries, code analysis and code transformations, all user-programmable using the domain-specific language LARA. We show how Kadabra can be used as the basis for developing a runtime autotuning and adaptivity framework, able to adapt existing source Java code in order to take advantage of runtime autotuning. Specifically, this article presents the framework, consisting of Kadabra and an API for runtime adaptivity. We show the use of the framework to extend Java applications with autotuning and runtime adaptivity mechanisms to target performance improvement and/or energy saving goals.(c) 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 7
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