Deploying Darter - A Cray XC30 system

Mark R. Fahey; Reuben Budiardja; Lonnie Crosby; Stephen McNally

doi:10.1007/978-3-319-07518-1_28

Deploying Darter - A Cray XC30 system

Mark R. Fahey, Reuben Budiardja, Lonnie Crosby, Stephen McNally

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

10 Scopus citations

Abstract

The University of Tennessee, Knoxville acquired a Cray XC30 supercomputer, called Darter, with a peak performance of 248.9 Teraflops. Darter was deployed in late March of 2013 with a very aggressive production timeline - the system was deployed, accepted, and placed into production in only 2 weeks. The Spring Experiment for the Center for Analysis and Prediction of Storms (CAPS) largely drove the accelerated timeline, as the experiment was scheduled to start in mid-April. The Consortium for Advanced Simulation of Light Water Reactors (CASL) project also needed access and was able to meet their tight deadlines on the newly acquired XC30. Darter's accelerated deployment and operations schedule resulted in substantial scientific impacts within the research community as well as immediate real-world impacts such as early severe tornado warnings [1].

Original language	English
Title of host publication	Supercomputing - 29th International Conference, ISC 2014, Proceedings
Publisher	Springer Verlag
Pages	430-439
Number of pages	10
ISBN (Print)	9783319075174, 9783319075174
DOIs	https://doi.org/10.1007/978-3-319-07518-1_28
State	Published - 2014
Externally published	Yes
Event	29th International Supercomputing Conference, ISC 2014 - Leipzig, Germany Duration: Jun 22 2014 → Jun 26 2014

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8488 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	29th International Supercomputing Conference, ISC 2014
Country/Territory	Germany
City	Leipzig
Period	06/22/14 → 06/26/14

Keywords

Aries interconnect
Cray XC30
Hyperthreading
astrophysics
light water reactors
rank placement
storm prediction

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-319-07518-1_28

Cite this

Fahey, M. R., Budiardja, R., Crosby, L., & McNally, S. (2014). Deploying Darter - A Cray XC30 system. In Supercomputing - 29th International Conference, ISC 2014, Proceedings (pp. 430-439). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8488 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-07518-1_28

@inproceedings{edac7e91c8d54601ac42f125bcceb690,

title = "Deploying Darter - A Cray XC30 system",

abstract = "The University of Tennessee, Knoxville acquired a Cray XC30 supercomputer, called Darter, with a peak performance of 248.9 Teraflops. Darter was deployed in late March of 2013 with a very aggressive production timeline - the system was deployed, accepted, and placed into production in only 2 weeks. The Spring Experiment for the Center for Analysis and Prediction of Storms (CAPS) largely drove the accelerated timeline, as the experiment was scheduled to start in mid-April. The Consortium for Advanced Simulation of Light Water Reactors (CASL) project also needed access and was able to meet their tight deadlines on the newly acquired XC30. Darter's accelerated deployment and operations schedule resulted in substantial scientific impacts within the research community as well as immediate real-world impacts such as early severe tornado warnings [1].",

keywords = "Aries interconnect, Cray XC30, Hyperthreading, astrophysics, light water reactors, rank placement, storm prediction",

author = "Fahey, {Mark R.} and Reuben Budiardja and Lonnie Crosby and Stephen McNally",

year = "2014",

doi = "10.1007/978-3-319-07518-1_28",

language = "English",

isbn = "9783319075174",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "430--439",

booktitle = "Supercomputing - 29th International Conference, ISC 2014, Proceedings",

note = "29th International Supercomputing Conference, ISC 2014 ; Conference date: 22-06-2014 Through 26-06-2014",

}

Fahey, MR, Budiardja, R, Crosby, L & McNally, S 2014, Deploying Darter - A Cray XC30 system. in Supercomputing - 29th International Conference, ISC 2014, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8488 LNCS, Springer Verlag, pp. 430-439, 29th International Supercomputing Conference, ISC 2014, Leipzig, Germany, 06/22/14. https://doi.org/10.1007/978-3-319-07518-1_28

Deploying Darter - A Cray XC30 system. / Fahey, Mark R.; Budiardja, Reuben; Crosby, Lonnie et al.
Supercomputing - 29th International Conference, ISC 2014, Proceedings. Springer Verlag, 2014. p. 430-439 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8488 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Deploying Darter - A Cray XC30 system

AU - Fahey, Mark R.

AU - Budiardja, Reuben

AU - Crosby, Lonnie

AU - McNally, Stephen

PY - 2014

Y1 - 2014

N2 - The University of Tennessee, Knoxville acquired a Cray XC30 supercomputer, called Darter, with a peak performance of 248.9 Teraflops. Darter was deployed in late March of 2013 with a very aggressive production timeline - the system was deployed, accepted, and placed into production in only 2 weeks. The Spring Experiment for the Center for Analysis and Prediction of Storms (CAPS) largely drove the accelerated timeline, as the experiment was scheduled to start in mid-April. The Consortium for Advanced Simulation of Light Water Reactors (CASL) project also needed access and was able to meet their tight deadlines on the newly acquired XC30. Darter's accelerated deployment and operations schedule resulted in substantial scientific impacts within the research community as well as immediate real-world impacts such as early severe tornado warnings [1].

AB - The University of Tennessee, Knoxville acquired a Cray XC30 supercomputer, called Darter, with a peak performance of 248.9 Teraflops. Darter was deployed in late March of 2013 with a very aggressive production timeline - the system was deployed, accepted, and placed into production in only 2 weeks. The Spring Experiment for the Center for Analysis and Prediction of Storms (CAPS) largely drove the accelerated timeline, as the experiment was scheduled to start in mid-April. The Consortium for Advanced Simulation of Light Water Reactors (CASL) project also needed access and was able to meet their tight deadlines on the newly acquired XC30. Darter's accelerated deployment and operations schedule resulted in substantial scientific impacts within the research community as well as immediate real-world impacts such as early severe tornado warnings [1].

KW - Aries interconnect

KW - Cray XC30

KW - Hyperthreading

KW - astrophysics

KW - light water reactors

KW - rank placement

KW - storm prediction

UR - http://www.scopus.com/inward/record.url?scp=84903743597&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-07518-1_28

DO - 10.1007/978-3-319-07518-1_28

M3 - Conference contribution

AN - SCOPUS:84903743597

SN - 9783319075174

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 430

EP - 439

BT - Supercomputing - 29th International Conference, ISC 2014, Proceedings

PB - Springer Verlag

T2 - 29th International Supercomputing Conference, ISC 2014

Y2 - 22 June 2014 through 26 June 2014

ER -

Deploying Darter - A Cray XC30 system

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this