Optimizing ordered graph algorithms with GraphIt Article Swipe
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1145/3368826.3377909
Many graph problems can be solved using ordered parallel graph algorithms that achieve significant speedup over their unordered counterparts by reducing redundant work. This paper introduces a new priority-based extension to GraphIt, a domain-specific language for writing graph applications, to simplify writing high-performance parallel ordered graph algorithms. The extension enables vertices to be processed in a dynamic order while hiding low-level implementation details from the user. We extend the compiler with new program analyses, transformations, and code generation to produce fast implementations of ordered parallel graph algorithms. We also introduce bucket fusion, a new performance optimization that fuses together different rounds of ordered algorithms to reduce synchronization overhead, resulting in 1.2×–3× speedup over the fastest existing ordered algorithm implementations on road networks with large diameters. With the extension, GraphIt achieves up to 3× speedup on six ordered graph algorithms over state-of-the-art frameworks and hand-optimized implementations (Julienne, Galois, and GAPBS) that support ordered algorithms.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1145/3368826.3377909
- https://dl.acm.org/doi/pdf/10.1145/3368826.3377909
- OA Status
- gold
- Cited By
- 37
- References
- 36
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3008451639
Raw OpenAlex JSON
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https://openalex.org/W3008451639Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1145/3368826.3377909Digital Object Identifier
- Title
-
Optimizing ordered graph algorithms with GraphItWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2020Year of publication
- Publication date
-
2020-02-21Full publication date if available
- Authors
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Yunming Zhang, Ajay Brahmakshatriya, Xinyi Chen, Laxman Dhulipala, Shoaib Kamil, Saman Amarasinghe, Julian ShunList of authors in order
- Landing page
-
https://doi.org/10.1145/3368826.3377909Publisher landing page
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https://dl.acm.org/doi/pdf/10.1145/3368826.3377909Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://dl.acm.org/doi/pdf/10.1145/3368826.3377909Direct OA link when available
- Concepts
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Speedup, Computer science, Algorithm, Graph, Implementation, Parallel computing, Theoretical computer science, Programming languageTop concepts (fields/topics) attached by OpenAlex
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37Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 10, 2024: 2, 2023: 3, 2022: 7, 2021: 12Per-year citation counts (last 5 years)
- References (count)
-
36Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| cited_by_percentile_year.max | 99 |
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| countries_distinct_count | 1 |
| institutions_distinct_count | 7 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/4 |
| sustainable_development_goals[0].score | 0.7599999904632568 |
| sustainable_development_goals[0].display_name | Quality Education |
| citation_normalized_percentile.value | 0.91119407 |
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| citation_normalized_percentile.is_in_top_10_percent | True |