@conference {campanoni2012helix,
	title = {HELIX: Automatic Parallelization of Irregular Programs for Chip Multiprocessing},
	booktitle = {Proceedings of the Tenth International Symposium on Code Generation and Optimization},
	year = {2012},
	pages = {84{\textendash}93},
	publisher = {ACM},
	organization = {ACM},
	abstract = {We describe and evaluate HELIX, a new technique for automatic loop parallelization that assigns successive iterations of a loop to separate threads. We show that the inter-thread communication costs forced by loop-carried data dependences can be mitigated by code optimization, by using an effective heuristic for selecting loops to parallelize, and by using helper threads to prefetch synchronization signals. We have implemented HELIX as part of an optimizing compiler framework that automatically selects and parallelizes loops from general sequential programs. The framework uses an analytical model of loop speedups, combined with profile data, to choose loops to parallelize. On a six-core IntelVR Core❚▼ i7-980X, HELIX achieves speedups averaging 2.25$\%<$, with a maximum of 4.12$\%<$, for thirteen C benchmarks from SPEC CPU2000.},
	url = {https://doi.org/10.1145/2259016.2259028},
	author = {Campanoni, Simone and Jones, Timothy and Holloway, Glenn and Reddi, Vijay Janapa and Gu-Yeon Wei and David Brooks}
}
