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- W3149771602 abstract "Several recent many-core accelerators have been architected as fabrics of tightly-coupled shared memory clusters. A hierarchical interconnection system is used - with a crossbar-like medium inside each cluster and a network-on-chip (NoC) at the global level - which make memory operations non-uniform (NUMA). Nested parallelism represents a powerful programming abstraction for these architectures, where a first level of parallelism can be used to distribute coarse-grained tasks to clusters, and additional levels of fine-grained parallelism can be distributed to processors within a cluster. This paper presents a lightweight and highly optimized support for nested parallelism on cluster-based embedded many-cores. We assess the costs to enable multi-level parallelization and demonstrate that our techniques allow to extract high degrees of parallelism." @default.
- W3149771602 created "2021-04-13" @default.
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- W3149771602 date "2012-03-01" @default.
- W3149771602 modified "2023-10-13" @default.
- W3149771602 title "Fast and lightweight support for nested parallelism on cluster-based embedded many-cores" @default.
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- W3149771602 doi "https://doi.org/10.1109/date.2012.6176441" @default.
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