Agricultural Reform: More Efficient Farming Using Advanced Parallel Refactoring Tools

Author

Brown, C. ; Janjic, Vladimir ; Hammond, Kevin ; Schoner, Holger ; Idrees, Kamran ; Glass, Colin W.

Author_Institution

Sch. of Comput. Sci., Univ. of St. Andrews, St. Andrews, UK

fYear

2014

fDate

12-14 Feb. 2014

Firstpage

36

Lastpage

43

Abstract

Modern multicore systems offer huge computing potential. Exploiting large parallel systems is still a very challenging task, however, especially as many software developers still use overly-sequential programming models. refactoring tool support that allows the programmer to introduce and tune parallelism in an easy and effective way, exploiting high-level parallel patterns such as farms and pipelines. Using our approach, we achieve speedups of up to 21 on a 24-core shared-memory system for a number of realistic use-cases.

Keywords

agriculture; parallel processing; shared memory systems; software maintenance; advanced parallel refactoring tools; agricultural reform; farming; high-level parallel patterns; multicore systems; overly-sequential programming models; parallel systems; shared-memory system; Convolution; Optimization; Parallel processing; Pipelines; Skeleton; Software; Streaming media; Ant-Colony; C++; Convolution; FastFlow; Molecular Dynamics; Refactoring; Skeletons;

fLanguage

English

Publisher

ieee

Conference_Titel

Parallel, Distributed and Network-Based Processing (PDP), 2014 22nd Euromicro International Conference on

Conference_Location

Torino

ISSN

1066-6192

Type

conf

DOI

10.1109/PDP.2014.94

Filename

6787250