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{{Infobox custom computer
⚫ '''Yellowstone'''<ref name="ysenv">, NCAR Computational and Information Systems Laboratory (CISL) website: Resources. Retrieved 2012-06-12.</ref> is the inaugural computing resource at the ]<ref>, University Corporation for Atmospheric Research (UCAR) website, Retrieved 2012-06-12.</ref> (NWSC) in ]. It was installed, tested, and readied for production in the summer of 2012.<ref>, IBM News Release, 08 Nov 2011.</ref> Yellowstone is a highly capable ] system designed for conducting breakthrough scientific research in the interdisciplinary field of ]. Scientists use this computer and its associated resources to model and analyze complex processes in the atmosphere, oceans, ice caps, and throughout the Earth system, accelerating scientific research in climate change, severe weather, geomagnetic storms, carbon sequestration, aviation safety, wildfires, and many other topics.<ref name="glade">, ''NCAR/UCAR AtmosNews'', 7 November 2011.</ref><ref>, NCAR Computational and Information Systems Laboratory (CISL) website: Resources. Retrieved 2012-06-12.</ref> Funded by the ] and the ] and ], and operated by the ], Yellowstone’s purpose is to improve the predictive power of Earth system science simulation to benefit decision-making and planning for society.<ref>, Proposal to The National Science Foundation by The National Center for Atmospheric Research and The University Corporation for Atmospheric Research in partnership with The University and State of Wyoming, 4 September 2009.</ref>
| Image = File:NSF-supported Research Facilities (15947776872).jpg
| Caption = Yellowstone in 2014
| Dates = 2012-2017
| Operators =
| Sponsors =
| Location =
| Architecture = x86 (])
| Memory = 145 ]
| Storage = 320 petabytes (storage){{br}} 36.4 petabytes (online)
| Speed = 1.5 ]
| OS =
| Power =
| Space =
| Cost =
| ChartName =
| ChartPosition =
| ChartDate =
| Purpose =
| Legacy =
| Emulators =
| Website =
| Sources =
}}

'''Yellowstone'''<ref name="ysenv">, NCAR Computational and Information Systems Laboratory (CISL) website: Resources. Retrieved 2012-06-12.</ref> was the inaugural ] at the ]<ref>, University Corporation for Atmospheric Research (UCAR) website, Retrieved 2012-06-12.</ref> (NWSC) in ]. It was installed, tested, and readied for production in the summer of 2012.<ref>, IBM News Release, 08 Nov 2011.</ref> The Yellowstone supercomputing cluster was decommissioned on December 31, 2017,<ref>{{Cite web|url=https://dailyb.cisl.ucar.edu/bulletins/yellowstone-be-decommissioned-december-31|title=Yellowstone to be decommissioned December 31 {{!}} Computational & Information Systems Laboratory|website=dailyb.cisl.ucar.edu|access-date=2018-01-19}}</ref> being replaced by its successor ].<ref>{{cite web |url=https://www.wired.com/2017/03/put-supercomputer-wyoming/ |title= Why You Should Put Your Supercomputer in Wyoming|last=Scoles |first=Sarah |date=31 March 2017|website=Wired.com |publisher=Wired |access-date=6 October 2018 |quote=}}</ref>

⚫ Yellowstone was a highly capable ] system designed for conducting breakthrough scientific research in the interdisciplinary field of ]. Scientists used the computer and its associated resources to model and analyze complex processes in the atmosphere, oceans, ice caps, and throughout the Earth system, accelerating scientific research in climate change, severe weather, geomagnetic storms, ], aviation safety, wildfires, and many other topics.<ref name="glade">, ''NCAR/UCAR AtmosNews'', 7 November 2011.</ref><ref>, NCAR Computational and Information Systems Laboratory (CISL) website: Resources. Retrieved 2012-06-12.</ref> Funded by the ] and the ] and ], and operated by the ], Yellowstone's purpose was to improve the predictive power of Earth system science simulation to benefit decision-making and planning for society.<ref>, Proposal to The National Science Foundation by The National Center for Atmospheric Research and The University Corporation for Atmospheric Research in partnership with The University and State of Wyoming, 4 September 2009.</ref>


== System description == == System description ==
Yellowstone is a 1.5-] IBM iDataPlex cluster computer with 4,536 dual-socket compute ] that contain 9,072, 2.6-GHz Intel Xeon E5-2670 8-core processors (72,576 cores), and its aggregate memory size is 145 ]s.<ref name="specifications">, NCAR Computational and Information Systems Laboratory (CISL) website: Resources. Retrieved 2012-06-12.</ref> The nodes interconnect in a full ] via a Mellanox FDR ] switching fabric.<ref name="specifications" /> System software<ref>, NCAR Computational and Information Systems Laboratory (CISL) website: Resources. Retrieved 2012-06-12.</ref> includes the ] operating system for Scientific Computing,<ref>, Red Hat Products website, Retrieved 2012-06-12.</ref> ] Batch Subsystem and Resource Manager,<ref></ref> and ] (GPFS).<ref name="specifications" /> Yellowstone was a 1.5-] IBM iDataPlex cluster computer with 4,536 dual-socket compute ] that contained 9,072, 2.6-GHz Intel Xeon E5-2670 8-core processors (72,576 cores), and its aggregate memory size was 145 ]s.<ref name="specifications">, NCAR Computational and Information Systems Laboratory (CISL) website: Resources. Retrieved 2012-06-12.</ref> The nodes interconnected in a full ] via a Mellanox FDR ] switching fabric.<ref name="specifications" /> System software<ref>, NCAR Computational and Information Systems Laboratory (CISL) website: Resources. Retrieved 2012-06-12.</ref> includes the ] operating system for Scientific Computing,<ref>, Red Hat Products website, Retrieved 2012-06-12.</ref> ] Batch Subsystem and Resource Manager,<ref></ref> and ] (GPFS).<ref name="specifications" />


Yellowstone is integrated with many other high-performance computing resources in the NWSC. The central feature of this supercomputing architecture is its shared ] that streamlines science ]s by providing computation, analysis, and ] work spaces common to all resources. This common data storage pool, called the GLobally Accessible Data Environment<ref>, ''FY2011 CISL Annual Report''. '''Note:''' This October 2011 report describes GLADE at NCAR’s Mesa Lab Computing Facility in Boulder, Colorado. The design of GLADE at NWSC in Cheyenne, Wyoming is identical at this level of description.</ref> (GLADE), provides 36.4 ]s of online disk capacity shared by the supercomputer, two ] and visualization (DAV) cluster computers (Geyser and Caldera),<ref name="specifications" /> data servers for both local and remote users, and a data ] with the capacity to store 320 petabytes of research data. High-speed ] connect this Yellowstone environment to science gateways,<ref>, ''FY2011 CISL Annual Report''.</ref> data transfer services, remote visualization resources, ] sites, and partner sites around the world. Yellowstone was integrated with many other high-performance computing resources in the NWSC. The central feature of this supercomputing architecture was its shared ] that streamlined science ]s by providing computation, analysis, and ] work spaces common to all resources. This common data storage pool, called the GLobally Accessible Data Environment<ref>, ''FY2011 CISL Annual Report''. '''Note:''' This October 2011 report describes GLADE at NCAR’s Mesa Lab Computing Facility in Boulder, Colorado. The design of GLADE at NWSC in Cheyenne, Wyoming is identical at this level of description.</ref> (GLADE), provides 36.4 ]s of online disk capacity shared by the supercomputer, two ] and visualization (DAV) cluster computers (Geyser and Caldera),<ref name="specifications" /> data servers for both local and remote users, and a data ] with the capacity to store 320 petabytes of research data. High-speed ] connect this Yellowstone environment to science gateways,<ref>, ''FY2011 CISL Annual Report''.</ref> data transfer services, remote visualization resources, ] (XSEDE) sites, and partner sites around the world.


This integration of computing resources, file systems, data storage, and broadband networks allows scientists to simulate future geophysical scenarios at high resolution, then analyze and visualize them on one computing complex.<ref>, ''HPCwire'', November 07, 2011.</ref> This improves scientific productivity<ref name="glade" /> by avoiding the delays associated with moving large quantities of data between separate systems. Further, this reduces the volume of data that needs to be transferred to researchers at their home institutions. The Yellowstone environment at NWSC makes more than 600 million processor-hours available each year to researchers in the Earth system sciences.<ref>, ''News@Unidata'', 22 November 2011.</ref> This integration of computing resources, file systems, data storage, and broadband networks allowed scientists to simulate future geophysical scenarios at high resolution, then analyze and visualize them on one computing complex.<ref>, ''HPCwire'', November 07, 2011.</ref> This improves scientific productivity<ref name="glade" /> by avoiding the delays associated with moving large quantities of data between separate systems. Further, this reduces the volume of data that needs to be transferred to researchers at their home institutions. The Yellowstone environment at NWSC makes more than 600 million processor-hours available each year to researchers in the Earth system sciences.<ref>, ''News@Unidata'', 22 November 2011.</ref>


== See also == == See also ==
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== External links == == External links ==
{{Commons category|Yellowstone Supercomputer}}
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Latest revision as of 20:28, 25 August 2024

Yellowstone
Active2012-2017
Architecturex86 (iDataPlex)
Memory145 terabytes
Storage320 petabytes (storage)
36.4 petabytes (online)
Speed1.5 petaflops

Yellowstone was the inaugural supercomputer at the NCAR-Wyoming Supercomputing Center (NWSC) in Cheyenne, Wyoming. It was installed, tested, and readied for production in the summer of 2012. The Yellowstone supercomputing cluster was decommissioned on December 31, 2017, being replaced by its successor Cheyenne.

Yellowstone was a highly capable petascale system designed for conducting breakthrough scientific research in the interdisciplinary field of Earth system science. Scientists used the computer and its associated resources to model and analyze complex processes in the atmosphere, oceans, ice caps, and throughout the Earth system, accelerating scientific research in climate change, severe weather, geomagnetic storms, carbon sequestration, aviation safety, wildfires, and many other topics. Funded by the National Science Foundation and the State and University of Wyoming, and operated by the National Center for Atmospheric Research, Yellowstone's purpose was to improve the predictive power of Earth system science simulation to benefit decision-making and planning for society.

System description

Yellowstone was a 1.5-petaflops IBM iDataPlex cluster computer with 4,536 dual-socket compute nodes that contained 9,072, 2.6-GHz Intel Xeon E5-2670 8-core processors (72,576 cores), and its aggregate memory size was 145 terabytes. The nodes interconnected in a full fat tree network via a Mellanox FDR InfiniBand switching fabric. System software includes the Red Hat Enterprise Linux operating system for Scientific Computing, LSF Batch Subsystem and Resource Manager, and IBM General Parallel File System (GPFS).

Yellowstone was integrated with many other high-performance computing resources in the NWSC. The central feature of this supercomputing architecture was its shared file system that streamlined science workflows by providing computation, analysis, and visualization work spaces common to all resources. This common data storage pool, called the GLobally Accessible Data Environment (GLADE), provides 36.4 petabytes of online disk capacity shared by the supercomputer, two data analysis and visualization (DAV) cluster computers (Geyser and Caldera), data servers for both local and remote users, and a data archive with the capacity to store 320 petabytes of research data. High-speed networks connect this Yellowstone environment to science gateways, data transfer services, remote visualization resources, Extreme Science and Engineering Discovery Environment (XSEDE) sites, and partner sites around the world.

This integration of computing resources, file systems, data storage, and broadband networks allowed scientists to simulate future geophysical scenarios at high resolution, then analyze and visualize them on one computing complex. This improves scientific productivity by avoiding the delays associated with moving large quantities of data between separate systems. Further, this reduces the volume of data that needs to be transferred to researchers at their home institutions. The Yellowstone environment at NWSC makes more than 600 million processor-hours available each year to researchers in the Earth system sciences.

See also

References

  1. "Yellowstone", NCAR Computational and Information Systems Laboratory (CISL) website: Resources. Retrieved 2012-06-12.
  2. "NCAR-Wyoming Supercomputing Center Fact Sheet", University Corporation for Atmospheric Research (UCAR) website, Retrieved 2012-06-12.
  3. NCAR Advances Weather Research Capabilities With IBM Supercomputing Technology, IBM News Release, 08 Nov 2011.
  4. "Yellowstone to be decommissioned December 31 | Computational & Information Systems Laboratory". dailyb.cisl.ucar.edu. Retrieved 2018-01-19.
  5. Scoles, Sarah (31 March 2017). "Why You Should Put Your Supercomputer in Wyoming". Wired.com. Wired. Retrieved 6 October 2018.
  6. ^ NCAR Selects IBM for Key Components of New Supercomputing Center, NCAR/UCAR AtmosNews, 7 November 2011.
  7. Yellowstone, NWSC science impact, NCAR Computational and Information Systems Laboratory (CISL) website: Resources. Retrieved 2012-06-12.
  8. The NCAR-Wyoming Supercomputing Center Science Justification, Proposal to The National Science Foundation by The National Center for Atmospheric Research and The University Corporation for Atmospheric Research in partnership with The University and State of Wyoming, 4 September 2009.
  9. ^ System overview, Yellowstone: High-performance computing resource, NCAR Computational and Information Systems Laboratory (CISL) website: Resources. Retrieved 2012-06-12.
  10. Yellowstone Software, NCAR Computational and Information Systems Laboratory (CISL) website: Resources. Retrieved 2012-06-12.
  11. Red Hat Enterprise Linux For Scientific Computing, Red Hat Products website, Retrieved 2012-06-12.
  13. NCAR’s Globally Accessible Data Environment, FY2011 CISL Annual Report. Note: This October 2011 report describes GLADE at NCAR’s Mesa Lab Computing Facility in Boulder, Colorado. The design of GLADE at NWSC in Cheyenne, Wyoming is identical at this level of description.
  14. Science gateway services, FY2011 CISL Annual Report.
  15. NCAR to Install 1.6 Petaflop IBM Supercomputer, HPCwire, November 07, 2011.
  16. NCAR's next supercomputer: Yellowstone, News@Unidata, 22 November 2011.

External links

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