Reducing adaptive optics latency using many-core processors Article Swipe
David R. W. Barr
,
Alastair Basden
,
N. A. Dipper
,
Noah Schwartz
·
YOU?
·
· 2015
· Open Access
·
· DOI: https://doi.org/10.20353/k3t4cp1131546
YOU?
·
· 2015
· Open Access
·
· DOI: https://doi.org/10.20353/k3t4cp1131546
The high control frequency required of planned E-ELT adaptive optics modules (from several hundreds of Hz tothousands and typically in the region of 500 Hz for first light E-ELT instruments such as HARMONI), along withthe high number of actuators, leads to very demanding computational needs for the real-time AO control (RTC)systems. The number of actuators, proportional the total area of the telescope primary mirror, will range fromseveral thousands to tens of thousands (typically 4-6 thousand for first light E-ELT instruments). TraditionalRTC architectures based on CPU only technologies are typically unable to achieve the required performancein a cost-effective and maintainable manner. Alternative hardware such as many-core hardware acceleratorsneed to be considered to deliver the computational power. These many-core processors offering a highly parallelenvironment, have the potential of coping with the high computational load and of accelerating parts of the AOcontrol loop. AO systems for the E-ELT however, also put heavy constrains on acceptable levels of jitter andlatency.In this paper, we investigate novel hardware that has the potential to accelerate wavefront reconstruction andwavefront pre-processing, respectively the Intel Xeon Phi and the TILERA TILE-Gx processors. We present adetailed performance analysis putting an emphasis on execution time, jitter (i.e. variation in execution time)and outliers (i.e. results significantly apart from mean). Results are explored both for specific first light E-ELTinstruments and, to stay as general as possible and fully appreciate scalability issues, for a much wider range ofAO system sizes. The paper also addresses anticipated near future hardware developments and examines theirsuitability for the E-ELT.
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Metadata
- Type
- dissertation
- Language
- en
- Landing Page
- https://doi.org/10.20353/k3t4cp1131546
- OA Status
- green
- Cited By
- 1
- References
- 8
- Related Works
- 20
- OpenAlex ID
- https://openalex.org/W2516091899
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2516091899Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.20353/k3t4cp1131546Digital Object Identifier
- Title
-
Reducing adaptive optics latency using many-core processorsWork title
- Type
-
dissertationOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2015Year of publication
- Publication date
-
2015-01-01Full publication date if available
- Authors
-
David R. W. Barr, Alastair Basden, N. A. Dipper, Noah SchwartzList of authors in order
- Landing page
-
https://doi.org/10.20353/k3t4cp1131546Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.20353/k3t4cp1131546Direct OA link when available
- Concepts
-
Computer science, Deformable mirror, Adaptive optics, Scalability, Multi-core processor, Jitter, Xeon, Xeon Phi, Computer hardware, Actuator, Parallel computing, Operating system, Artificial intelligence, Physics, Optics, TelecommunicationsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
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2016: 1Per-year citation counts (last 5 years)
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8Number of works referenced by this work
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20Other works algorithmically related by OpenAlex
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