A language-independent parallel refactoring framework

Christopher Mark Brown; Kevin Hammond; Marco Danelutto; Peter Kilpatrick

doi:10.1145/2328876.2328884

A language-independent parallel refactoring framework

Christopher Mark Brown, Kevin Hammond, Marco Danelutto, Peter Kilpatrick

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

Abstract

Recent trends towards increasingly parallel computers mean that there needs to be a seismic shift in programming practice. The time is rapidly approaching when most programming will be for parallel systems. However, most programming techniques in use today are geared towards sequential, or occasionally small-scale parallel, programming. While refactoring has so far mainly been applied to sequential programs, it is our contention that refactoring can play a key role in significantly improving the programmability of parallel systems, by allowing the programmer to apply a set of well-defined transformations in order to parallelise their programs. In this paper, we describe a new language-independent refactoring approach that helps introduce and tune parallelism through high-level design patterns targeting a set of well-specified parallel skeletons. We believe this new refactoring process is the key to allowing programmers to truly start thinking in parallel.

Original language	English
Title of host publication	Proceedings of the Fifth Workshop on Refactoring Tools (WRT '12)
Place of Publication	New York
Publisher	ACM
Pages	54-58
Number of pages	5
ISBN (Print)	9781450315005
DOIs	https://doi.org/10.1145/2328876.2328884
Publication status	Published - 1 Jun 2012
Event	Workshop on Refactoring Tools - Rapperswil, Switzerland Duration: 1 Jun 2012 → 1 Jun 2012

Workshop

Workshop	Workshop on Refactoring Tools
Abbreviated title	WRT '12
Country/Territory	Switzerland
City	Rapperswil
Period	1/06/12 → 1/06/12

Keywords

Refactoring
Erlang
C/C++
Skeletons
Patterns
ParaPhrase
Parallelism
Concurrency

Access to Document

10.1145/2328876.2328884

wrt2012
© 2012, ACM. This work has been made available online in accordance with the publisher's policies. This is the author created accepted version manuscript following peer review and as such may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1145/2328876.2328884
Accepted author manuscript, 327 KB

ParaPhrase FP7-ICT-2011-7: EU FP7 'ParaPhrase'
Hammond, K. (PI)
European Commission
1/10/11 → 31/03/15
Project: Standard
HPC-GAP: High performance computational: HPC-GAP High Performance Computational Algebra and Discrete Mathematics
Linton, S. A. (PI), Gent, I. P. (CoI) & Hammond, K. (CoI)
EPSRC
1/09/09 → 28/02/14
Project: Standard
EP/F030657/1 Adaptive Hardware Systems: Copy of Adaptive Hardware Systems with Novel Algorithmic Design and Guaranteed Resource Bounds
Hammond, K. (PI)
EPSRC
1/09/08 → 31/08/11
Project: Standard

Cite this

@inproceedings{ec349f2494354c81add20a068a34e18f,

title = "A language-independent parallel refactoring framework",

abstract = "Recent trends towards increasingly parallel computers mean that there needs to be a seismic shift in programming practice. The time is rapidly approaching when most programming will be for parallel systems. However, most programming techniques in use today are geared towards sequential, or occasionally small-scale parallel, programming. While refactoring has so far mainly been applied to sequential programs, it is our contention that refactoring can play a key role in significantly improving the programmability of parallel systems, by allowing the programmer to apply a set of well-defined transformations in order to parallelise their programs. In this paper, we describe a new language-independent refactoring approach that helps introduce and tune parallelism through high-level design patterns targeting a set of well-specified parallel skeletons. We believe this new refactoring process is the key to allowing programmers to truly start thinking in parallel.",

keywords = "Refactoring, Erlang, C/C++, Skeletons, Patterns, ParaPhrase, Parallelism, Concurrency",

author = "Brown, {Christopher Mark} and Kevin Hammond and Marco Danelutto and Peter Kilpatrick",

note = "Funding: This work has been supportedby the European Union grants RII3-CT-2005-026133 SCIEnce: Symbolic Computing Infrastructure in Europe, IST-2010-248828 ADVANCE: Asynchronous and Dynamic Virtualisation through performance ANalysis to support Concurrency Engineering, and IST-2011-288570 ParaPhrase: Parallel Patterns for Adaptive Heterogeneous Multicore Systems, and by the UK{\textquoteright}s Engineering and Physical Sciences Research Council grant EP/G055181/1HPC-GAP: High Performance Computational Algebra.; Workshop on Refactoring Tools, WRT '12 ; Conference date: 01-06-2012 Through 01-06-2012",

year = "2012",

month = jun,

day = "1",

doi = "10.1145/2328876.2328884",

language = "English",

isbn = "9781450315005",

pages = "54--58",

booktitle = "Proceedings of the Fifth Workshop on Refactoring Tools (WRT '12)",

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AU - Brown, Christopher Mark

AU - Hammond, Kevin

AU - Danelutto, Marco

AU - Kilpatrick, Peter

N1 - Funding: This work has been supportedby the European Union grants RII3-CT-2005-026133 SCIEnce: Symbolic Computing Infrastructure in Europe, IST-2010-248828 ADVANCE: Asynchronous and Dynamic Virtualisation through performance ANalysis to support Concurrency Engineering, and IST-2011-288570 ParaPhrase: Parallel Patterns for Adaptive Heterogeneous Multicore Systems, and by the UK’s Engineering and Physical Sciences Research Council grant EP/G055181/1HPC-GAP: High Performance Computational Algebra.

PY - 2012/6/1

Y1 - 2012/6/1

N2 - Recent trends towards increasingly parallel computers mean that there needs to be a seismic shift in programming practice. The time is rapidly approaching when most programming will be for parallel systems. However, most programming techniques in use today are geared towards sequential, or occasionally small-scale parallel, programming. While refactoring has so far mainly been applied to sequential programs, it is our contention that refactoring can play a key role in significantly improving the programmability of parallel systems, by allowing the programmer to apply a set of well-defined transformations in order to parallelise their programs. In this paper, we describe a new language-independent refactoring approach that helps introduce and tune parallelism through high-level design patterns targeting a set of well-specified parallel skeletons. We believe this new refactoring process is the key to allowing programmers to truly start thinking in parallel.

AB - Recent trends towards increasingly parallel computers mean that there needs to be a seismic shift in programming practice. The time is rapidly approaching when most programming will be for parallel systems. However, most programming techniques in use today are geared towards sequential, or occasionally small-scale parallel, programming. While refactoring has so far mainly been applied to sequential programs, it is our contention that refactoring can play a key role in significantly improving the programmability of parallel systems, by allowing the programmer to apply a set of well-defined transformations in order to parallelise their programs. In this paper, we describe a new language-independent refactoring approach that helps introduce and tune parallelism through high-level design patterns targeting a set of well-specified parallel skeletons. We believe this new refactoring process is the key to allowing programmers to truly start thinking in parallel.

KW - Refactoring

KW - Erlang

KW - C/C++

KW - Skeletons

KW - Patterns

KW - ParaPhrase

KW - Parallelism

KW - Concurrency

U2 - 10.1145/2328876.2328884

DO - 10.1145/2328876.2328884

M3 - Conference contribution

SN - 9781450315005

SP - 54

EP - 58

BT - Proceedings of the Fifth Workshop on Refactoring Tools (WRT '12)

PB - ACM

CY - New York

T2 - Workshop on Refactoring Tools

Y2 - 1 June 2012 through 1 June 2012

ER -

A language-independent parallel refactoring framework

Abstract

Workshop

Keywords

Access to Document

Fingerprint

Projects

ParaPhrase FP7-ICT-2011-7: EU FP7 'ParaPhrase'

HPC-GAP: High performance computational: HPC-GAP High Performance Computational Algebra and Discrete Mathematics

EP/F030657/1 Adaptive Hardware Systems: Copy of Adaptive Hardware Systems with Novel Algorithmic Design and Guaranteed Resource Bounds

Cite this