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Cited by 445

The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.

Legion: Expressing locality and independence with logical regions

Bauer, Michael, Treichler, Sean, Slaughter, Elliott, Aiken, Alex·2012·2012 International Conference for High Performance Computing, Networking, Storage and Analysis
DOI 10.1109/sc.2012.71
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Abstract

Modern parallel architectures have both heterogeneous processors and deep, complex memory hierarchies. We present Legion, a programming model and runtime system for achieving high performance on these machines. Legion is organized around logical regions, which express both locality and independence of program data, and tasks, functions that perform computations on regions. We describe a runtime system that dynamically extracts parallelism from Legion programs, using a distributed, parallel scheduling algorithm that identifies both independent tasks and nested parallelism. Legion also enables explicit, programmer controlled movement of data through the memory hierarchy and placement of tasks based on locality information via a novel mapping interface. We evaluate our Legion implementation on three applications: fluid-flow on a regular grid, a three-level AMR code solving a heat diffusion equation, and a circuit simulation.

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Metadata

Authors
Bauer, M., Treichler, S., Slaughter, E., & Aiken, A.
Venue
2012 International Conference for High Performance Computing, Networking, Storage and Analysis
Publisher
IEEE
Published
2012-11
Pages
1-11
ISSN
2167-4337 (ISSN-L)
DOI
10.1109/sc.2012.71
OpenAlex
W4248722156
Cited by
445
References
14
FWCI
4.46
Type
conference paper
Language
en
Open access
closed

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.