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• W2110053516 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 µTC. 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." @default.
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• W2110053516 date "2011-01-01" @default.
• W2110053516 modified "2023-09-26" @default.
• W2110053516 title "Resource-Agnostic Programming for Many-Core Microgrids" @default.
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• W2110053516 doi "https://doi.org/10.1007/978-3-642-21878-1_14" @default.
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