@incollection{bernard10hppc,
	Abstract = {Many-core architectures are a commercial reality, but programming them efficiently is still a challenge, especially if the mix is heterogeneous. Here granularity must be addressed, i.e. when to make use of concurrency resources and when not to. We have designed a data-driven, fine-grained concurrent execution model (SVP) that captures concurrency in a resource-agnostic way. Our approach separates the concern of describing a concurrent computation from its mapping and scheduling. We have implemented this model as a novel many-core architecture programmed with a language called muTC. In this paper we demonstrate how we achieve our goal of resource-agnostic programming on this target, where heterogeneity is exposed as arbitrarily sized clusters of cores.
},
	Author = {Thomas Bernard and Clemens Grelck and Michael Hicks and Chris Jesshope and Raphael Poss},
	Booktitle = {Euro-Par 2010 Parallel Processing Workshops},


	Doi = {10.1007/978-3-642-21878-1_14}, Urldoi = {http://dx.doi.org/10.1007/978-3-642-21878-1_14},
	Editor = {Guarracino, Mario and Vivien, Fr\'ed\'eric and Tr\"aff, Jesper and Cannatoro, Mario and Danelutto, Marco and Hast, Anders and Perla, Francesca and Kn{\"u}pfer, Andreas and Di Martino, Beniamino and Alexander, Michael},
	Isbn = {978-3-642-21877-4},
	Month = {August},
	Pages = {109--116},
	Publisher = {Springer Berlin / Heidelberg},
	Read = {1},
	Series = {Lecture Notes in Computer Science},
	Title = {Resource-agnostic programming for many-core {Microgrids}},
	Urllocal = {pub/bernard.10.hppc.pdf},
	Volume = {6586},
	Year = {2011},
	}

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