Computing infrastructure, software optimization, and real time analysis for high data-rate MX

Herbert J. Bernstein; Babak Andi; Kaden Badalian; Lonny E. Berman; Dileep K. Bhogadi; Shirish Chodankar; Jonathan Difabio; Martin R. Fuchs; Jean Jakoncic; Edwin O. Lazo; Sean McSweeney; Lisa Miller; Stuart Myers; Dieter K. Schneider; Bruno Seiva Martins; Wuxian Shi; John Skinner; Hugo Slepicka; Alexei S. Soares; Vivian Stojanoff; Robert M. Sweet; Ryan Tappero

doi:10.1109/NYSDS.2016.7747828

Computing infrastructure, software optimization, and real time analysis for high data-rate MX

Herbert J. Bernstein, Babak Andi, Kaden Badalian, Lonny E. Berman, Dileep K. Bhogadi, Shirish Chodankar, Jonathan Difabio, Martin R. Fuchs, Jean Jakoncic, Edwin O. Lazo, Sean McSweeney, Lisa Miller, Stuart Myers, Dieter K. Schneider, Bruno Seiva Martins, Wuxian Shi, John Skinner, Hugo Slepicka, Alexei S. Soares, Vivian StojanoffRobert M. Sweet, Ryan Tappero

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

1 Scopus citations

Abstract

Macromolecular Crystallography (MX) is becoming a big data science straining the capabilities of computers and networks. New techniques of serial crystallography are allowing new science to be done but they are increasing the heterogeneity of the data that must be handled. Two new beamlines at the National Synchrotron Light Source-II, for Frontier Macromolecular Crystallography (FMX) and for highly Automated Macromolecular Crystallography (AMX), are beginning user operation in 2016, and are dealing with these big data issues. This work is contributing to a worldwide High Data-Rate Macromolecular Crystallography (HDRMX) collaboration among crystallographic software developers, beamline scientists and controls people to resolve these issues as new high-brightness beamlines and new fast X-ray detectors come into increasing use.

Original language	English
Title of host publication	2016 New York Scientific Data Summit, NYSDS 2016 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781467390514
DOIs	https://doi.org/10.1109/NYSDS.2016.7747828
State	Published - 17 Nov 2016
Externally published	Yes
Event	2016 New York Scientific Data Summit, NYSDS 2016 - New York, United States Duration: 14 Aug 2016 → 17 Aug 2016

Publication series

Name	2016 New York Scientific Data Summit, NYSDS 2016 - Proceedings

Conference

Conference	2016 New York Scientific Data Summit, NYSDS 2016
Country/Territory	United States
City	New York
Period	14/08/16 → 17/08/16

Access to Document

10.1109/NYSDS.2016.7747828

Cite this

Bernstein, H. J., Andi, B., Badalian, K., Berman, L. E., Bhogadi, D. K., Chodankar, S., Difabio, J., Fuchs, M. R., Jakoncic, J., Lazo, E. O., McSweeney, S., Miller, L., Myers, S., Schneider, D. K., Martins, B. S., Shi, W., Skinner, J., Slepicka, H., Soares, A. S., ... Tappero, R. (2016). Computing infrastructure, software optimization, and real time analysis for high data-rate MX. In 2016 New York Scientific Data Summit, NYSDS 2016 - Proceedings Article 7747828 (2016 New York Scientific Data Summit, NYSDS 2016 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NYSDS.2016.7747828

@inproceedings{7ea45ac37f0647089b8ca267dab3a1d1,

title = "Computing infrastructure, software optimization, and real time analysis for high data-rate MX",

abstract = "Macromolecular Crystallography (MX) is becoming a big data science straining the capabilities of computers and networks. New techniques of serial crystallography are allowing new science to be done but they are increasing the heterogeneity of the data that must be handled. Two new beamlines at the National Synchrotron Light Source-II, for Frontier Macromolecular Crystallography (FMX) and for highly Automated Macromolecular Crystallography (AMX), are beginning user operation in 2016, and are dealing with these big data issues. This work is contributing to a worldwide High Data-Rate Macromolecular Crystallography (HDRMX) collaboration among crystallographic software developers, beamline scientists and controls people to resolve these issues as new high-brightness beamlines and new fast X-ray detectors come into increasing use.",

author = "Bernstein, {Herbert J.} and Babak Andi and Kaden Badalian and Berman, {Lonny E.} and Bhogadi, {Dileep K.} and Shirish Chodankar and Jonathan Difabio and Fuchs, {Martin R.} and Jean Jakoncic and Lazo, {Edwin O.} and Sean McSweeney and Lisa Miller and Stuart Myers and Schneider, {Dieter K.} and Martins, {Bruno Seiva} and Wuxian Shi and John Skinner and Hugo Slepicka and Soares, {Alexei S.} and Vivian Stojanoff and Sweet, {Robert M.} and Ryan Tappero",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 New York Scientific Data Summit, NYSDS 2016 ; Conference date: 14-08-2016 Through 17-08-2016",

year = "2016",

month = nov,

day = "17",

doi = "10.1109/NYSDS.2016.7747828",

language = "English",

series = "2016 New York Scientific Data Summit, NYSDS 2016 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2016 New York Scientific Data Summit, NYSDS 2016 - Proceedings",

address = "United States",

}

Bernstein, HJ, Andi, B, Badalian, K, Berman, LE, Bhogadi, DK, Chodankar, S, Difabio, J, Fuchs, MR, Jakoncic, J, Lazo, EO, McSweeney, S, Miller, L, Myers, S, Schneider, DK, Martins, BS, Shi, W, Skinner, J, Slepicka, H, Soares, AS, Stojanoff, V, Sweet, RM & Tappero, R 2016, Computing infrastructure, software optimization, and real time analysis for high data-rate MX. in 2016 New York Scientific Data Summit, NYSDS 2016 - Proceedings., 7747828, 2016 New York Scientific Data Summit, NYSDS 2016 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2016 New York Scientific Data Summit, NYSDS 2016, New York, United States, 14/08/16. https://doi.org/10.1109/NYSDS.2016.7747828

Computing infrastructure, software optimization, and real time analysis for high data-rate MX. / Bernstein, Herbert J.; Andi, Babak; Badalian, Kaden et al.
2016 New York Scientific Data Summit, NYSDS 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. 7747828 (2016 New York Scientific Data Summit, NYSDS 2016 - Proceedings).

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

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AU - Andi, Babak

AU - Badalian, Kaden

AU - Berman, Lonny E.

AU - Bhogadi, Dileep K.

AU - Chodankar, Shirish

AU - Difabio, Jonathan

AU - Fuchs, Martin R.

AU - Jakoncic, Jean

AU - Lazo, Edwin O.

AU - McSweeney, Sean

AU - Miller, Lisa

AU - Myers, Stuart

AU - Schneider, Dieter K.

AU - Martins, Bruno Seiva

AU - Shi, Wuxian

AU - Skinner, John

AU - Slepicka, Hugo

AU - Soares, Alexei S.

AU - Stojanoff, Vivian

AU - Sweet, Robert M.

AU - Tappero, Ryan

PY - 2016/11/17

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AB - Macromolecular Crystallography (MX) is becoming a big data science straining the capabilities of computers and networks. New techniques of serial crystallography are allowing new science to be done but they are increasing the heterogeneity of the data that must be handled. Two new beamlines at the National Synchrotron Light Source-II, for Frontier Macromolecular Crystallography (FMX) and for highly Automated Macromolecular Crystallography (AMX), are beginning user operation in 2016, and are dealing with these big data issues. This work is contributing to a worldwide High Data-Rate Macromolecular Crystallography (HDRMX) collaboration among crystallographic software developers, beamline scientists and controls people to resolve these issues as new high-brightness beamlines and new fast X-ray detectors come into increasing use.

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DO - 10.1109/NYSDS.2016.7747828

M3 - Conference contribution

AN - SCOPUS:85006870220

T3 - 2016 New York Scientific Data Summit, NYSDS 2016 - Proceedings

BT - 2016 New York Scientific Data Summit, NYSDS 2016 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2016 New York Scientific Data Summit, NYSDS 2016

Y2 - 14 August 2016 through 17 August 2016

ER -

Bernstein HJ, Andi B, Badalian K, Berman LE, Bhogadi DK, Chodankar S et al. Computing infrastructure, software optimization, and real time analysis for high data-rate MX. In 2016 New York Scientific Data Summit, NYSDS 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2016. 7747828. (2016 New York Scientific Data Summit, NYSDS 2016 - Proceedings). doi: 10.1109/NYSDS.2016.7747828

Computing infrastructure, software optimization, and real time analysis for high data-rate MX

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