RICH Article Swipe
Vladimir Dimić
,
Miquel Moretó
,
Marc Casas
,
Jan Ciesko
,
Mateo Valero
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1145/3392717.3392736
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1145/3392717.3392736
Reductions constitute a frequent algorithmic pattern in high-performance and scientific computing. Sophisticated techniques are needed to ensure their correct and scalable concurrent execution on modern processors. Reductions on large arrays represent the most demanding case where traditional approaches are not always applicable due to low performance scalability. To address these challenges, we propose RICH, a runtime-assisted solution that relies on architectural and parallel programming model extensions. RICH updates the reduction variable directly in the cache hierarchy with the help of added in-cache functional units. Our programming model extensions fit with the most relevant parallel programming solutions for shared memory environments like OpenMP. RICH does not modify the ISA, which allows the use of algorithms with reductions from pre-compiled external libraries. Experiments show that our solution achieves the performance improvements of 11.2% on average, compared to the state-of-the-art hardware-based approaches, while it introduces 2.4% area and 3.8% power overhead.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1145/3392717.3392736
- OA Status
- green
- Cited By
- 5
- References
- 42
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3039310997
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3039310997Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1145/3392717.3392736Digital Object Identifier
- Title
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RICHWork 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
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2020-06-29Full publication date if available
- Authors
-
Vladimir Dimić, Miquel Moretó, Marc Casas, Jan Ciesko, Mateo ValeroList of authors in order
- Landing page
-
https://doi.org/10.1145/3392717.3392736Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://hdl.handle.net/2117/192495Direct OA link when available
- Concepts
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Computer science, Scalability, Distributed computing, Parallel computing, Computer architecture, Operating systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
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5Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2022: 2, 2021: 1, 2020: 1Per-year citation counts (last 5 years)
- References (count)
-
42Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.ensure | 16 |
| abstract_inverted_index.memory | 98 |
| abstract_inverted_index.modern | 24 |
| abstract_inverted_index.modify | 105 |
| abstract_inverted_index.needed | 14 |
| abstract_inverted_index.relies | 58 |
| abstract_inverted_index.shared | 97 |
| abstract_inverted_index.units. | 83 |
| abstract_inverted_index.OpenMP. | 101 |
| abstract_inverted_index.address | 48 |
| abstract_inverted_index.correct | 18 |
| abstract_inverted_index.pattern | 5 |
| abstract_inverted_index.propose | 52 |
| abstract_inverted_index.updates | 67 |
| abstract_inverted_index.achieves | 125 |
| abstract_inverted_index.average, | 132 |
| abstract_inverted_index.compared | 133 |
| abstract_inverted_index.directly | 71 |
| abstract_inverted_index.external | 118 |
| abstract_inverted_index.frequent | 3 |
| abstract_inverted_index.in-cache | 81 |
| abstract_inverted_index.parallel | 62, 93 |
| abstract_inverted_index.relevant | 92 |
| abstract_inverted_index.scalable | 20 |
| abstract_inverted_index.solution | 56, 124 |
| abstract_inverted_index.variable | 70 |
| abstract_inverted_index.demanding | 33 |
| abstract_inverted_index.execution | 22 |
| abstract_inverted_index.hierarchy | 75 |
| abstract_inverted_index.overhead. | 147 |
| abstract_inverted_index.reduction | 69 |
| abstract_inverted_index.represent | 30 |
| abstract_inverted_index.solutions | 95 |
| abstract_inverted_index.Reductions | 0, 26 |
| abstract_inverted_index.algorithms | 113 |
| abstract_inverted_index.applicable | 41 |
| abstract_inverted_index.approaches | 37 |
| abstract_inverted_index.computing. | 10 |
| abstract_inverted_index.concurrent | 21 |
| abstract_inverted_index.constitute | 1 |
| abstract_inverted_index.extensions | 87 |
| abstract_inverted_index.functional | 82 |
| abstract_inverted_index.introduces | 141 |
| abstract_inverted_index.libraries. | 119 |
| abstract_inverted_index.reductions | 115 |
| abstract_inverted_index.scientific | 9 |
| abstract_inverted_index.techniques | 12 |
| abstract_inverted_index.Experiments | 120 |
| abstract_inverted_index.algorithmic | 4 |
| abstract_inverted_index.approaches, | 138 |
| abstract_inverted_index.challenges, | 50 |
| abstract_inverted_index.extensions. | 65 |
| abstract_inverted_index.performance | 45, 127 |
| abstract_inverted_index.processors. | 25 |
| abstract_inverted_index.programming | 63, 85, 94 |
| abstract_inverted_index.traditional | 36 |
| abstract_inverted_index.environments | 99 |
| abstract_inverted_index.improvements | 128 |
| abstract_inverted_index.pre-compiled | 117 |
| abstract_inverted_index.scalability. | 46 |
| abstract_inverted_index.Sophisticated | 11 |
| abstract_inverted_index.architectural | 60 |
| abstract_inverted_index.hardware-based | 137 |
| abstract_inverted_index.high-performance | 7 |
| abstract_inverted_index.runtime-assisted | 55 |
| abstract_inverted_index.state-of-the-art | 136 |
| cited_by_percentile_year.max | 96 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 5 |
| citation_normalized_percentile.value | 0.72912511 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |