Evaluation of the Xeon phi processor as a technology for the acceleration of real-time control in high-order adaptive optics systems

David Barr, Alastair Basden, Nigel Dipper, Noah Schwartz, Andy Vick, Hermine Schnetler

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

We present wavefront reconstruction acceleration of high-order AO systems using an Intel Xeon Phi processor. The Xeon Phi is a coprocessor providing many integrated cores and designed for accelerating compute intensive, numerical codes. Unlike other accelerator technologies, it allows virtually unchanged C/C++ to be recompiled to run on the Xeon Phi, giving the potential of making development, upgrade and maintenance faster and less complex. We benchmark the Xeon Phi in the context of AO real-time control by running a matrix vector multiply (MVM) algorithm. We investigate variability in execution time and demonstrate a substantial speed-up in loop frequency. We examine the integration of a Xeon Phi into an existing RTC system and show that performance improvements can be achieved with limited development effort.

Original languageEnglish
Title of host publicationAdaptive Optics Systems IV
Place of PublicationBellingham
PublisherSPIE
Volume9148
ISBN (Print)9780819496164
DOIs
Publication statusPublished - 2014
EventAdaptive Optics Systems IV - Montreal, United Kingdom
Duration: 22 Jun 201427 Jun 2014

Publication series

NameProceedings of SPIE
PublisherSPIE
Volume9148
ISSN (Print)0277-786X

Conference

ConferenceAdaptive Optics Systems IV
CountryUnited Kingdom
CityMontreal
Period22/06/1427/06/14

Keywords

  • High-Order AO
  • Low Latency
  • Real-time Computer
  • Wavefront Reconstruction
  • Xeon Phi

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    Barr, D., Basden, A., Dipper, N., Schwartz, N., Vick, A., & Schnetler, H. (2014). Evaluation of the Xeon phi processor as a technology for the acceleration of real-time control in high-order adaptive optics systems. In Adaptive Optics Systems IV (Vol. 9148). [91484B] (Proceedings of SPIE; Vol. 9148). SPIE. https://doi.org/10.1117/12.2055092