Annotating user-defined abstractions for optimization

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This paper discusses the features of an annotation language that we believe to be essential for optimizing user-defined abstractions. These features should capture semantics of function, data, and object-oriented abstractions, express abstraction equivalence (e.g., a class represents an array abstraction), and permit extension of traditional compiler optimizations to user-defined abstractions. Our future work will include developing a comprehensive annotation language for describing the semantics of general object-oriented abstractions, as well as automatically verifying and inferring the annotated semantics.

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Quinlan, D; Schordan, M; Vuduc, R & Yi, Q December 5, 2005.

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Description

This paper discusses the features of an annotation language that we believe to be essential for optimizing user-defined abstractions. These features should capture semantics of function, data, and object-oriented abstractions, express abstraction equivalence (e.g., a class represents an array abstraction), and permit extension of traditional compiler optimizations to user-defined abstractions. Our future work will include developing a comprehensive annotation language for describing the semantics of general object-oriented abstractions, as well as automatically verifying and inferring the annotated semantics.

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PDF-file: 10 pages; size: 0.1 Mbytes

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  • Presented at: IPDPS Workshop on Performance Optimization of High-Level Languages and Libraries, Rhodes, Greece, Apr 25 - Apr 29, 2006

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  • Report No.: UCRL-PROC-217573
  • Grant Number: W-7405-ENG-48
  • Office of Scientific & Technical Information Report Number: 889969
  • Archival Resource Key: ark:/67531/metadc884574

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  • December 5, 2005

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  • Sept. 21, 2016, 2:29 a.m.

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  • Nov. 22, 2016, 7:08 p.m.

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Quinlan, D; Schordan, M; Vuduc, R & Yi, Q. Annotating user-defined abstractions for optimization, article, December 5, 2005; Livermore, California. (digital.library.unt.edu/ark:/67531/metadc884574/: accessed September 20, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.