Evaluating and optimizing the NERSC workload on knights landing

Taylor Barnes; Brandon Cook; Jack Deslippe; Douglas Doerfler; Brian Friesen; Yun He; Thorsten Kurth; Tuomas Koskela; Mathieu Lobet; Tareq Malas; Leonid Oliker; Andrey Ovsyannikov; Abhinav Sarje; Jean Luc Vay; Henri Vincenti; Samuel Williams; Pierre Carrier; Nathan Wichmann; Marcus Wagner; Paul Kent; Christopher Kerr; John Dennis

doi:10.1109/PMBS.2016.010

Evaluating and optimizing the NERSC workload on knights landing

Taylor Barnes
, Brandon Cook
, Jack Deslippe
, Douglas Doerfler
, Brian Friesen
, Yun He
, Thorsten Kurth
, Tuomas Koskela
, Mathieu Lobet
, Tareq Malas
, Leonid Oliker
, Andrey Ovsyannikov
, Abhinav Sarje
, Jean Luc Vay
, Henri Vincenti
, Samuel Williams
, Pierre Carrier
, Nathan Wichmann
, Marcus Wagner
, Paul Kent

Christopher Kerr, John Dennis

Application Scalability and Performance Group

Lawrence Berkeley National Laboratory
Cray Inc
Oak Ridge National Laboratory
NCAR Consultant
National Center for Atmospheric Research

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

30 Scopus citations

Abstract

NERSC has partnered with 20 representative application teams to evaluate performance on the Xeon-Phi Knights Landing architecture and develop an application-optimization strategy for the greater NERSC workload on the recently installed Cori system. In this article, we present early case studies and summarized results from a subset of the 20 applications highlighting the impact of important architecture differences between the Xeon-Phi and traditional Xeon processors. We summarize the status of the applications and describe the greater optimization strategy that has formed.

Original language	English
Title of host publication	Proceedings of PMBS 2016
Subtitle of host publication	7th International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computing Systems - Held in conjunction with SC 2016: The International Conference for High Performance Computing, Networking, Storage and Analysis
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	43-53
Number of pages	11
ISBN (Electronic)	9781509052189
DOIs	https://doi.org/10.1109/PMBS.2016.010
State	Published - Nov 13 2016
Event	7th International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computing Systems, PMBS 2016 Held in conjunction with The International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2016 - Salt Lake City, United States Duration: Nov 13 2016 → Nov 18 2016

Publication series

Name	Proceedings of PMBS 2016: 7th International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computing Systems - Held in conjunction with SC 2016: The International Conference for High Performance Computing, Networking, Storage and Analysis

Conference

Conference	7th International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computing Systems, PMBS 2016 Held in conjunction with The International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2016
Country/Territory	United States
City	Salt Lake City
Period	11/13/16 → 11/18/16

Access to Document

10.1109/PMBS.2016.010

Cite this

Barnes, T., Cook, B., Deslippe, J., Doerfler, D., Friesen, B., He, Y., Kurth, T., Koskela, T., Lobet, M., Malas, T., Oliker, L., Ovsyannikov, A., Sarje, A., Vay, J. L., Vincenti, H., Williams, S., Carrier, P., Wichmann, N., Wagner, M., ... Dennis, J. (2016). Evaluating and optimizing the NERSC workload on knights landing. In Proceedings of PMBS 2016: 7th International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computing Systems - Held in conjunction with SC 2016: The International Conference for High Performance Computing, Networking, Storage and Analysis (pp. 43-53). (Proceedings of PMBS 2016: 7th International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computing Systems - Held in conjunction with SC 2016: The International Conference for High Performance Computing, Networking, Storage and Analysis). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PMBS.2016.010

Barnes, Taylor ; Cook, Brandon ; Deslippe, Jack et al. / Evaluating and optimizing the NERSC workload on knights landing. Proceedings of PMBS 2016: 7th International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computing Systems - Held in conjunction with SC 2016: The International Conference for High Performance Computing, Networking, Storage and Analysis. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 43-53 (Proceedings of PMBS 2016: 7th International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computing Systems - Held in conjunction with SC 2016: The International Conference for High Performance Computing, Networking, Storage and Analysis).

@inproceedings{e37ccbc5533a47b4be0331588ab61172,

title = "Evaluating and optimizing the NERSC workload on knights landing",

abstract = "NERSC has partnered with 20 representative application teams to evaluate performance on the Xeon-Phi Knights Landing architecture and develop an application-optimization strategy for the greater NERSC workload on the recently installed Cori system. In this article, we present early case studies and summarized results from a subset of the 20 applications highlighting the impact of important architecture differences between the Xeon-Phi and traditional Xeon processors. We summarize the status of the applications and describe the greater optimization strategy that has formed.",

author = "Taylor Barnes and Brandon Cook and Jack Deslippe and Douglas Doerfler and Brian Friesen and Yun He and Thorsten Kurth and Tuomas Koskela and Mathieu Lobet and Tareq Malas and Leonid Oliker and Andrey Ovsyannikov and Abhinav Sarje and Vay, \{Jean Luc\} and Henri Vincenti and Samuel Williams and Pierre Carrier and Nathan Wichmann and Marcus Wagner and Paul Kent and Christopher Kerr and John Dennis",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 7th International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computing Systems, PMBS 2016 Held in conjunction with The International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2016 ; Conference date: 13-11-2016 Through 18-11-2016",

year = "2016",

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doi = "10.1109/PMBS.2016.010",

language = "English",

series = "Proceedings of PMBS 2016: 7th International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computing Systems - Held in conjunction with SC 2016: The International Conference for High Performance Computing, Networking, Storage and Analysis",

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

pages = "43--53",

booktitle = "Proceedings of PMBS 2016",

address = "United States",

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Barnes, T, Cook, B, Deslippe, J, Doerfler, D, Friesen, B, He, Y, Kurth, T, Koskela, T, Lobet, M, Malas, T, Oliker, L, Ovsyannikov, A, Sarje, A, Vay, JL, Vincenti, H, Williams, S, Carrier, P, Wichmann, N, Wagner, M, Kent, P, Kerr, C & Dennis, J 2016, Evaluating and optimizing the NERSC workload on knights landing. in Proceedings of PMBS 2016: 7th International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computing Systems - Held in conjunction with SC 2016: The International Conference for High Performance Computing, Networking, Storage and Analysis. Proceedings of PMBS 2016: 7th International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computing Systems - Held in conjunction with SC 2016: The International Conference for High Performance Computing, Networking, Storage and Analysis, Institute of Electrical and Electronics Engineers Inc., pp. 43-53, 7th International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computing Systems, PMBS 2016 Held in conjunction with The International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2016, Salt Lake City, United States, 11/13/16. https://doi.org/10.1109/PMBS.2016.010

Evaluating and optimizing the NERSC workload on knights landing. / Barnes, Taylor; Cook, Brandon; Deslippe, Jack et al.
Proceedings of PMBS 2016: 7th International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computing Systems - Held in conjunction with SC 2016: The International Conference for High Performance Computing, Networking, Storage and Analysis. Institute of Electrical and Electronics Engineers Inc., 2016. p. 43-53 (Proceedings of PMBS 2016: 7th International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computing Systems - Held in conjunction with SC 2016: The International Conference for High Performance Computing, Networking, Storage and Analysis).

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

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T1 - Evaluating and optimizing the NERSC workload on knights landing

AU - Barnes, Taylor

AU - Cook, Brandon

AU - Deslippe, Jack

AU - Doerfler, Douglas

AU - Friesen, Brian

AU - He, Yun

AU - Kurth, Thorsten

AU - Koskela, Tuomas

AU - Lobet, Mathieu

AU - Malas, Tareq

AU - Oliker, Leonid

AU - Ovsyannikov, Andrey

AU - Sarje, Abhinav

AU - Vay, Jean Luc

AU - Vincenti, Henri

AU - Williams, Samuel

AU - Carrier, Pierre

AU - Wichmann, Nathan

AU - Wagner, Marcus

AU - Kent, Paul

AU - Kerr, Christopher

AU - Dennis, John

PY - 2016/11/13

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N2 - NERSC has partnered with 20 representative application teams to evaluate performance on the Xeon-Phi Knights Landing architecture and develop an application-optimization strategy for the greater NERSC workload on the recently installed Cori system. In this article, we present early case studies and summarized results from a subset of the 20 applications highlighting the impact of important architecture differences between the Xeon-Phi and traditional Xeon processors. We summarize the status of the applications and describe the greater optimization strategy that has formed.

AB - NERSC has partnered with 20 representative application teams to evaluate performance on the Xeon-Phi Knights Landing architecture and develop an application-optimization strategy for the greater NERSC workload on the recently installed Cori system. In this article, we present early case studies and summarized results from a subset of the 20 applications highlighting the impact of important architecture differences between the Xeon-Phi and traditional Xeon processors. We summarize the status of the applications and describe the greater optimization strategy that has formed.

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DO - 10.1109/PMBS.2016.010

M3 - Conference contribution

AN - SCOPUS:85015167895

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EP - 53

BT - Proceedings of PMBS 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 7th International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computing Systems, PMBS 2016 Held in conjunction with The International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2016

Y2 - 13 November 2016 through 18 November 2016

ER -

Barnes T, Cook B, Deslippe J, Doerfler D, Friesen B, He Y et al. Evaluating and optimizing the NERSC workload on knights landing. In Proceedings of PMBS 2016: 7th International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computing Systems - Held in conjunction with SC 2016: The International Conference for High Performance Computing, Networking, Storage and Analysis. Institute of Electrical and Electronics Engineers Inc. 2016. p. 43-53. (Proceedings of PMBS 2016: 7th International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computing Systems - Held in conjunction with SC 2016: The International Conference for High Performance Computing, Networking, Storage and Analysis). doi: 10.1109/PMBS.2016.010

Evaluating and optimizing the NERSC workload on knights landing

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