The University of Southampton
University of Southampton Institutional Repository

Strategy for Improving Memory Locality Reuse and Exploiting Hidden Parallelism

Strategy for Improving Memory Locality Reuse and Exploiting Hidden Parallelism
Strategy for Improving Memory Locality Reuse and Exploiting Hidden Parallelism
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
Adhianto, Laksono
92cbe7c0-0949-43d1-8905-8738e88a0c68
Leuschel, Michael
c2c18572-66cf-4f84-ade4-218ce3afe78b
Adhianto, Laksono
92cbe7c0-0949-43d1-8905-8738e88a0c68
Leuschel, Michael
c2c18572-66cf-4f84-ade4-218ce3afe78b

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..

Record type: Conference or Workshop Item (Other)

Abstract

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

This record has no associated files available for download.

More information

Published date: August 2001
Additional Information: CD-ROM. Address: Manchester
Venue - Dates: Proceeding of ISSM 2001, Manchester, 25-26 August 2001., 2001-07-31
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: 10 Dec 2021 20:40

Export record

Contributors

Author: Laksono Adhianto
Author: Michael Leuschel

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×