Strategy for Improving Memory Locality Reuse and Exploiting Hidden Parallelism

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


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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

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: CD-ROM. Address: Manchester
Divisions : Faculty of Physical Sciences and Engineering > Electronics and Computer Science
ePrint ID: 256011
Accepted Date and Publication Date:
August 2001Published
Date Deposited: 13 Sep 2001
Last Modified: 27 Mar 2014 19:58
Further Information:Google Scholar

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