Durham AO Real-time Controller (DARC) running on Graphics Processing Units (GPUs) Article Swipe
Urban Bitenc
,
Alastair Basden
,
N. A. Dipper
,
Richard M. Myers
·
YOU?
·
· 2015
· Open Access
·
· DOI: https://doi.org/10.20353/k3t4cp1131620
YOU?
·
· 2015
· Open Access
·
· DOI: https://doi.org/10.20353/k3t4cp1131620
The requirements on the real-time control systems for ELT instruments strongly encourage an investigation of newly emerging hardware and an assessment of its suitability for the job. We have implemented the full AO data processing pipeline on Graphics Processing Units (GPUs), within the framework of Durham AO Real-time Controller (DARC). The pixel data are copied from the CPU memory to the GPU memory. On the GPU, the data are processed and the DM commands are copied back to the CPU. For a system of 80x80 subapertures, the highest rate achieved on a single GPU is 550 frames per second. When running on two or more GPUs, the kernel launching time limits the increase in frame rate. We have also implemented the correlation centroiding algorithm, which - when used - reduces the frame rate by about a factor of two.
Related Topics
Concepts
Computer science
Frame rate
Graphics
Pipeline (software)
Controller (irrigation)
Kernel (algebra)
Frame (networking)
Central processing unit
Graphics processing unit
Computer hardware
OpenGL
Computer graphics (images)
Parallel computing
Operating system
Artificial intelligence
Visualization
Agronomy
Biology
Telecommunications
Combinatorics
Mathematics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.20353/k3t4cp1131620
- OA Status
- green
- Cited By
- 2
- References
- 10
- Related Works
- 20
- OpenAlex ID
- https://openalex.org/W2517005868
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2517005868Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.20353/k3t4cp1131620Digital Object Identifier
- Title
-
Durham AO Real-time Controller (DARC) running on Graphics Processing Units (GPUs)Work title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2015Year of publication
- Publication date
-
2015-01-01Full publication date if available
- Authors
-
Urban Bitenc, Alastair Basden, N. A. Dipper, Richard M. MyersList of authors in order
- Landing page
-
https://doi.org/10.20353/k3t4cp1131620Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://doi.org/10.20353/k3t4cp1131620Direct OA link when available
- Concepts
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Computer science, Frame rate, Graphics, Pipeline (software), Controller (irrigation), Kernel (algebra), Frame (networking), Central processing unit, Graphics processing unit, Computer hardware, OpenGL, Computer graphics (images), Parallel computing, Operating system, Artificial intelligence, Visualization, Agronomy, Biology, Telecommunications, Combinatorics, MathematicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
-
2018: 1, 2016: 1Per-year citation counts (last 5 years)
- References (count)
-
10Number of works referenced by this work
- Related works (count)
-
20Other works algorithmically related by OpenAlex
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| abstract_inverted_index.(DARC). | 49 |
| abstract_inverted_index.(GPUs), | 40 |
| abstract_inverted_index.control | 5 |
| abstract_inverted_index.highest | 87 |
| abstract_inverted_index.memory. | 62 |
| abstract_inverted_index.reduces | 129 |
| abstract_inverted_index.running | 100 |
| abstract_inverted_index.second. | 98 |
| abstract_inverted_index.systems | 6 |
| abstract_inverted_index.Graphics | 37 |
| abstract_inverted_index.achieved | 89 |
| abstract_inverted_index.commands | 73 |
| abstract_inverted_index.emerging | 16 |
| abstract_inverted_index.hardware | 17 |
| abstract_inverted_index.increase | 112 |
| abstract_inverted_index.pipeline | 35 |
| abstract_inverted_index.strongly | 10 |
| abstract_inverted_index.Real-time | 47 |
| abstract_inverted_index.encourage | 11 |
| abstract_inverted_index.framework | 43 |
| abstract_inverted_index.launching | 108 |
| abstract_inverted_index.processed | 69 |
| abstract_inverted_index.real-time | 4 |
| abstract_inverted_index.Controller | 48 |
| abstract_inverted_index.Processing | 38 |
| abstract_inverted_index.algorithm, | 123 |
| abstract_inverted_index.assessment | 20 |
| abstract_inverted_index.processing | 34 |
| abstract_inverted_index.centroiding | 122 |
| abstract_inverted_index.correlation | 121 |
| abstract_inverted_index.implemented | 29, 119 |
| abstract_inverted_index.instruments | 9 |
| abstract_inverted_index.suitability | 23 |
| abstract_inverted_index.requirements | 1 |
| abstract_inverted_index.investigation | 13 |
| abstract_inverted_index.subapertures, | 85 |
| cited_by_percentile_year.max | 94 |
| cited_by_percentile_year.min | 90 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 4 |
| citation_normalized_percentile.value | 0.71816677 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |