Instruments and Experimental Techniques

, Volume 61, Issue 6, pp 772–779 | Cite as

A Radio Interferometric Correlator Based on Graphics-Processing Units

  • I. F. Surkis
  • V. F. Zimovsky
  • V. O. Ken
  • Ya. L. Kurdubova
  • V. Yu. Mishin
  • N. A. Mishina
  • V. A. Shantyr


A correlator capable of processing data streams at a maximum rate of 16 Gb/s from each station in quasi-real time mode has been developed to process observations on new RT-13 radio telescopes of the Quasar VLBI network. The total data stream at the correlator input is as large as 96 Gb/s. The correlator is software-controlled and implements the FX processing algorithm. Graphical processing units manufactured by NVIDIA are used to perform the most laborious operations: fast Fourier transform, spectrum multiplication and addition, and extraction of phase calibration signals. The correlator, which was produced in 2014, has been processing observations of the Badary and Zelenchukskaya Observatories of the Quasar VLBI network for more than 2 years and a number of UT1-UTC World Time estimates have been obtained.



  1. 1.
    Ipatov, A.V., Gayazov, I.S., Smolentsev, S.G., Varganov, M.E., Ivanov, D.V., Shakhnabiev, I.V., Mardyshkin, V.V., Fedotov, L.V., Kaidanovskii, M.N., Vytnov, A.V., Sal’nikov, A.I., and Mikhailov, A.G., Tr. Inst. Prikl. Astron. Ross. Akad. Nauk, 2013, no. 27, p. 216.Google Scholar
  2. 2.
    Berdnikov, A.S., Grenkov, S.A., Krokhalev, A.V., Marshalov, A.D., Nosov, E.V., Fedotov, L.V., and Kol’tsov, N.E., Tr. Inst. Prikl. Astron. Ross. Akad. Nauk, 2013, no. 27, p. 96.Google Scholar
  3. 3.
    Bezrukov, I.A., Sal’nikov, A.I., Yakovlev, V.A., and Vylegzhanin, A.V., Tr. Inst. Prikl. Astron. Ross. Akad. Nauk, 2013, no. 27, p. 369.Google Scholar
  4. 4. html.Google Scholar
  5. 5.
    Surkis, I.F., Zimovsky, V.F., Shantyr, V.A., and Melnikov, A.E., Instrum. Exp. Tech., 2011, vol. 54, no. 1, p. 84. doi 10.1134/S0020441211010106CrossRefGoogle Scholar
  6. 6.
    Thompson, A.R., Moran, J.M., and Swenson G.W., Jr., Interferometry and Synthesis in Radio Astronomy, New York: Wiley-VCH, 2001.CrossRefGoogle Scholar
  7. 7.
    Deller, A.T., Tingay, S.J., Bailes, M., and West, C., Publ. Astron. Soc. Pac.,2007, vol. 119, p. 318.ADSCrossRefGoogle Scholar
  8. 8.
    Boreskov, A.V., Kharlamov, A.A., Markovskii, N.D., Mikushin, D.N., Mortikov, E.V., Myl’tsev, A.A., Sakharnykh, N.A., and Frolov, V.A., Parallel’nye vychisleniyana GPU. Arkhitektura i programmnaya model’ CUDA (GPU Parallel Computing. Architecture and CUDA Simulation Program), Moscow: Moscow State Univ., 2012.Google Scholar
  9. 9.
    High Performance Computing for Servers. Graphical Processors Tesla. NVIDIA. tesla-server-gpus-ru.html.Google Scholar
  10. 10.
    Intel Xeon. Processor E5-2670 (20M Cache, 2.60 GHz, 8.00 GT/s Intel QPI). Product Specifications. https:// aspx?brand=41492&wapkw=2670.Google Scholar
  11. 11.
    T-Platforms, Press Release October 12, 2009, Supercomputers for Nanotechnologies. html.Google Scholar
  12. 12.
    Surkis, I.F., Zimovskii, V.F., Ken, V.O., Mel’nikov, A.E., Mishin, V.Yu., Sokolova, N.A., and Shantyr’, V.A., Tr. Inst. Prikl. Astron. Ross. Akad. Nauk, 2012, no. 24, p. 172.Google Scholar
  13. 13.
    Ken, V.O. and Surkis, I.F., Tr. Inst. Prikl. Astron. Ross. Akad. Nauk, 2016, no. 33, p. 58.Google Scholar
  14. 14. Release_1.1.1.pdf.Google Scholar
  15. 15.
    International VLBI Service for Geodesy and Astrometry, Annual Report 2009, NASA/TP-2010-215860, Behrend, D. and Baver, K.D., Eds., Greenbelt: Goddard Space Flight Center, 2010, p. 15Google Scholar
  16. 16. Scholar
  17. 17.
    Wagner, J. and Pogrebenko, S., Fast Multi-Tone Phase Calibration Signal Extraction, Siberian Solar Radio Telescope: Reconstruction of Solar Radio-Images, 2009. Scholar
  18. 18. Scholar
  19. 19.
    Surkis, I.F., Zimovskii, V.F., Ken, V.O., Kurdubova, Ya.L., Mishin, V.Yu., Mishina, N.A., and Shantyr’, V.A., Tr. Inst. Prikl. Astron. Ross. Akad. Nauk, 2016, no. 36, p. 83.Google Scholar
  20. 20.
    Ivanov, D.V., Ipatov, A.V., Il’in, G.N., Smolentsev, S.G., Gayazov, I.S., Mardyshkin, V.V., Fedotov, L.V., Stempkovskii, V.G., Vytnov, A.V., Sal’nikov, A.I., Surkis, I.F., Mikhailov, A.G., Marshalov, D.A., Kurdubov, S.L., Mel’nikov, A.E., Bezrukov, I.A., Nosov, E.V., and Ken, V.O., Materialy 8-ogo mezhdunarodnogo simpoziuma “Metrologiya vremeni i prostranstva” (Proc. 8th Int. Symposium “Time and Space Metrology”), St. Petersburg, Mendeleevo: All-Russia Research Institute of Physicotechnical and Radio Measurements, 2016, pp. 74–79.Google Scholar

Copyright information

© Pleiades Publishing, Inc. 2018

Authors and Affiliations

  • I. F. Surkis
    • 1
  • V. F. Zimovsky
    • 1
  • V. O. Ken
    • 1
  • Ya. L. Kurdubova
    • 1
  • V. Yu. Mishin
    • 1
  • N. A. Mishina
    • 1
  • V. A. Shantyr
    • 1
  1. 1.Institute of Applied Astronomy, Russian Academy of SciencesSt. PetersburgRussia

Personalised recommendations