@inproceedings{brown_agricultural_2014,
	address = {Torino, Italy},
	title = {Agricultural Reform: More Efficient Farming Using Advanced Parallel Refactoring Tools},
	doi = {10.1109/PDP.2014.94},
	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. This paper presents
a novel technique for writing parallel programs in C++, using
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 achieving speedups of up to 21 on a 24-core
shared-memory system for a number of realistic use-cases.},
	booktitle = {Proceedings of the 22nd Euromicro International Conference on Parallel, distributed and network-based Processing {PDP} 2014},
	publisher = {{IEEE} Computer Society's Conference Publishing Services ({CPS})},
	author = {Brown, Christopher and Janjic, Vladimir and Hammond, Kevin and Schöner, Holger and Idrees, Kamran and Gracia, José and Glass, Colin},
	month = feb,
	year = {2014},
	keywords = {own, parallel computing, parallelization, parallel processing, paraphrase, pdp, refactoring},
	pages = {36--43},
	file = {download/publications/Brown2014_AgriculturalReform.pdf}
}