Cross Component Optimisation in a High Level Category-Based Language

Thomas J. Ashby; Anthony D. Kennedy; Michael F. P. O'Boyle

doi:10.1007/978-3-540-27866-5_86

Cross Component Optimisation in a High Level Category-Based Language

Thomas J. Ashby, Anthony D. Kennedy, Michael F. P. O'Boyle

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract / Description of output

High level programming languages offer many benefits in terms of ease of use, encapsulation etc. However, they historically suffer from poor performance. In this paper we investigate improving the performance of a numerical code written in a high–level language by using cross–component optimisation. We compare the results with traditional approaches such as the use of high performance libraries or Fortran. We demonstrate that our cross–component optimisation is highly effective, with a speed–up of up to 1.43 over a program augmented with calls to the ATLAS BLAS library, and 1.5 over a pure Fortran equivalent.

Original language	English
Title of host publication	Euro-Par 2004 Parallel Processing
Subtitle of host publication	10th International Euro-Par Conference, Pisa, Italy, August 31- September 3, 2004. Proceedings
Publisher	Springer
Pages	654-661
Number of pages	8
ISBN (Electronic)	978-3-540-27866-5
ISBN (Print)	978-3-540-22924-7
DOIs	https://doi.org/10.1007/978-3-540-27866-5_86
Publication status	Published - 2004

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer Berlin Heidelberg
Volume	3149
ISSN (Print)	0302-9743

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Ashby, T. J., Kennedy, A. D., & O'Boyle, M. F. P. (2004). Cross Component Optimisation in a High Level Category-Based Language. In Euro-Par 2004 Parallel Processing: 10th International Euro-Par Conference, Pisa, Italy, August 31- September 3, 2004. Proceedings (pp. 654-661). (Lecture Notes in Computer Science; Vol. 3149). Springer. https://doi.org/10.1007/978-3-540-27866-5_86

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abstract = "High level programming languages offer many benefits in terms of ease of use, encapsulation etc. However, they historically suffer from poor performance. In this paper we investigate improving the performance of a numerical code written in a high–level language by using cross–component optimisation. We compare the results with traditional approaches such as the use of high performance libraries or Fortran. We demonstrate that our cross–component optimisation is highly effective, with a speed–up of up to 1.43 over a program augmented with calls to the ATLAS BLAS library, and 1.5 over a pure Fortran equivalent.",

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year = "2004",

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Cross Component Optimisation in a High Level Category-Based Language. / Ashby, Thomas J.; Kennedy, Anthony D.; O'Boyle, Michael F. P.
Euro-Par 2004 Parallel Processing: 10th International Euro-Par Conference, Pisa, Italy, August 31- September 3, 2004. Proceedings. Springer, 2004. p. 654-661 (Lecture Notes in Computer Science; Vol. 3149).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Cross Component Optimisation in a High Level Category-Based Language

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AU - Kennedy, Anthony D.

AU - O'Boyle, Michael F. P.

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N2 - High level programming languages offer many benefits in terms of ease of use, encapsulation etc. However, they historically suffer from poor performance. In this paper we investigate improving the performance of a numerical code written in a high–level language by using cross–component optimisation. We compare the results with traditional approaches such as the use of high performance libraries or Fortran. We demonstrate that our cross–component optimisation is highly effective, with a speed–up of up to 1.43 over a program augmented with calls to the ATLAS BLAS library, and 1.5 over a pure Fortran equivalent.

AB - High level programming languages offer many benefits in terms of ease of use, encapsulation etc. However, they historically suffer from poor performance. In this paper we investigate improving the performance of a numerical code written in a high–level language by using cross–component optimisation. We compare the results with traditional approaches such as the use of high performance libraries or Fortran. We demonstrate that our cross–component optimisation is highly effective, with a speed–up of up to 1.43 over a program augmented with calls to the ATLAS BLAS library, and 1.5 over a pure Fortran equivalent.

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DO - 10.1007/978-3-540-27866-5_86

M3 - Conference contribution

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T3 - Lecture Notes in Computer Science

SP - 654

EP - 661

BT - Euro-Par 2004 Parallel Processing

PB - Springer

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Cross Component Optimisation in a High Level Category-Based Language

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