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From Wikipedia, the free encyclopedia

XC40 cabinet (front) with 48 blades in groups of 16, each blade containing 4 nodes

The Cray XC40 is a massively parallel multiprocessor supercomputer manufactured by Cray. It consists of Intel Haswell Xeon processors, with optional Nvidia Tesla or Intel Xeon Phi accelerators, connected together by Cray's proprietary "Aries" interconnect, stored in air-cooled or liquid-cooled cabinets.[1] The XC series supercomputers are available with the Cray DataWarp applications I/O accelerator technology.[2]

Deployed systems

Australia

A supercomputer in orange segments labelled Magnus in blue text.
XC40 unit Magnus at the Pawsey Supercomputing Centre in Kensington, Western Australia
  • The Pawsey Supercomputing Centre has a 35,712-core XC40 called "Magnus" for general science research. This supercomputer has a processing power of 1.097 petaflops.[3]
  • The Bureau of Meteorology has a 51,840-core XC40 called "Australis" with 276 TB of RAM and a usable storage of 4.3 PB. The supercomputer with a peak performance of 1.6 petaflops provides the operational computing capability for weather, climate, ocean and wave numerical prediction and simulation.[4]

Finland

Germany

Cray XC40 "Hazel Hen" at the HLRS

India

Japan

The Center for Computational Astrophysics at the National Astronomical Observatory of Japan have an XC40 system named "ATERUI". This is an upgrade from a previous Cray XC30 system.[9]

Poland

Saudi Arabia

Sweden

Switzerland

United Kingdom

  • The UK Met Office has three XC40s, with a total of 460,000 cores, capable of 14 petaflops peak.[14] It is currently the fastest machine in the world dedicated to weather and climate modeling,[15] and was the 11th fastest (but is no longer) on the TOP500 list when it was installed.[16]

United States

References

  1. ^ "Cray XC40 Brochure" (PDF). Cray Inc. Retrieved 28 October 2014.
  2. ^ "DataWarp™ Applications I/O Accelerator". Cray Inc. Retrieved 19 December 2018.
  3. ^ "Pawsey Magnus". Pawsey Supercomputing Centre. Archived from the original on 20 September 2015. Retrieved 27 May 2015.
  4. ^ "New Bureau supercomputer successfully commissioned". Bureau of Meteorology. 19 November 2016. Retrieved 2 September 2017.
  5. ^ "CSC's Servers - Sisu: Cray XC40 Supercomputer". CSC - IT Center for Science Ltd. Retrieved 27 September 2015.
  6. ^ "Cray XC40 Hazel Hen". HLRS. 2015-12-09. Retrieved 2015-12-19.
  7. ^ "SahasraT". Archived from the original on 20 December 2018. Retrieved 19 December 2018.
  8. ^ "Indian Institute of Tropical Meteorology". www.tropmet.res.in. Retrieved 2019-10-23.
  9. ^ Feldman, Michael (4 June 2018). "World's Most Powerful Supercomputer for Astronomy Begins Operation". www.top500.org. Retrieved 25 June 2018.
  10. ^ "Okeanos - Centrum Obliczeniowe, ICM Uniwersytet Warszawski". www.icm.edu.pl. Retrieved 6 February 2017.
  11. ^ "KAUST Makes Strategic Investment in Supercomputing to Advance Scientific Discovery". King Abdullah University of Science and Technology. Retrieved 20 January 2015.
  12. ^ "Beskow Hardware - PDC". KTH Royal Institute of Technology. Retrieved 24 September 2015.
  13. ^ "CSCS: Piz Daint & Piz Dora". CSCS. Retrieved 19 December 2018.
  14. ^ "The Cray X40 Supercomputer | The Met Office". www.metoffice.gov.uk.
  15. ^ Feldman, Michael. "TOP500 Meanderings: Supercomputers for Weather Forecasting Have Come a Long Way | TOP500 Supercomputer Sites". www.top500.org. Retrieved 11 July 2018.
  16. ^ "United Kingdom Meteorological Office | TOP500 Supercomputer Sites". www.top500.org.
  17. ^ "Excalibur - Cray XC40". Top500.org. Retrieved 24 November 2014.
  18. ^ "ARL DSRC Hardware". U.S. Army Research Laboratory. Retrieved 17 May 2016.
  19. ^ "Cori Phase I Configuration". Retrieved 18 May 2017.
  20. ^ "PGS Employs Cray Supercomputer for High-Resolution Imaging". PGS. 25 March 2015.
  21. ^ "About Big Red 3 at Indiana University". kb.iu.edu. Retrieved 2019-12-20.
  22. ^ "Theta and ThetaGPU | Argonne Leadership Computing Facility".

External links

This page was last edited on 27 September 2023, at 15:38
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