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Strategy for Improving Memory Locality Reuse and Exploiting Hidden Parallelism

Record type: Conference or Workshop Item (Other)

In recent years, methods for analyzing and parallelizing sequential code using data analysis and loop transformations have been developed. These techniques have proved remarkably successful, and have been used to move from sequential to parallel codes, or to improve efficiency of existing parallel codes. Our research focuses on Fortran code optimisation for parallelisation in Shared Memory architectures by using data analysis and loop source-to-source transformations. Our optimisation strategy, although designed for OpenMP directives, is sufficiently general to be used for pure Fortran code. Our algorithm has been implemented as a tool called Automatic Guidance Module (AGM), and have received high evaluation scores from our industrial partners

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Citation

Adhianto, Laksono and Leuschel, Michael (2001) Strategy for Improving Memory Locality Reuse and Exploiting Hidden Parallelism At Proceeding of ISSM 2001, Manchester, 25-26 August 2001..

More information

Published date: August 2001
Additional Information: CD-ROM. Address: Manchester
Venue - Dates: Proceeding of ISSM 2001, Manchester, 25-26 August 2001., 2001-08-01
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 256011
URI: http://eprints.soton.ac.uk/id/eprint/256011
PURE UUID: 550c0d96-ddff-44e5-ac4e-14a0014298c6

Catalogue record

Date deposited: 13 Sep 2001
Last modified: 18 Jul 2017 09:49

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Contributors

Author: Laksono Adhianto
Author: Michael Leuschel

University divisions


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