Simulating the weak death of the neutron in a femtoscale universe with near-exascale computing

Evan Berkowitz; M. A. Clark; Arjun Gambhir; Ken McElvain; Amy Nicholson; Enrico Rinaldi; Pavlos Vranas; Andre Walker-Loud; Chia Cheng Chang; Balint Joo; Thorsten Kurth; Kostas Orginos

doi:10.1109/SC.2018.00058

Simulating the weak death of the neutron in a femtoscale universe with near-exascale computing

Evan Berkowitz, M. A. Clark, Arjun Gambhir, Ken McElvain, Amy Nicholson, Enrico Rinaldi, Pavlos Vranas, Andre Walker-Loud, Chia Cheng Chang, Balint Joo, Thorsten Kurth, Kostas Orginos

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

8 Scopus citations

Abstract

The fundamental particle theory called Quantum Chromodynamics (QCD) dictates everything about protons and neutrons, from their intrinsic properties to interactions that bind them into atomic nuclei. Quantities that cannot be fully resolved through experiment, such as the neutron lifetime (whose precise value is important for the existence of light-atomic elements that make the sun shine and life possible), may be understood through numerical solutions to QCD. We directly solve QCD using Lattice Gauge Theory and calculate nuclear observables such as neutron lifetime. We have developed an improved algorithm that expoentially decreases the time-to-solution and applied it on the new CORAL supercomputers, Sierra and Summit. We use run-time autotuning to distribute GPU resources, achieving 20% performance at low node count. We also developed optimal application mapping through a job manager, which allows CPU and GPU jobs to be interleaved, yielding 15% of peak performance when deployed across large fractions of CORAL.

Original language	English
Title of host publication	Proceedings - International Conference for High Performance Computing, Networking, Storage, and Analysis, SC 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	697-705
Number of pages	9
ISBN (Electronic)	9781538683842
DOIs	https://doi.org/10.1109/SC.2018.00058
State	Published - Jul 2 2018
Externally published	Yes
Event	2018 International Conference for High Performance Computing, Networking, Storage, and Analysis, SC 2018 - Dallas, United States Duration: Nov 11 2018 → Nov 16 2018

Publication series

Name	Proceedings - International Conference for High Performance Computing, Networking, Storage, and Analysis, SC 2018

Conference

Conference	2018 International Conference for High Performance Computing, Networking, Storage, and Analysis, SC 2018
Country/Territory	United States
City	Dallas
Period	11/11/18 → 11/16/18

Funding

An award of computer time was provided by the Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program to CalLat (2016) as well as the Lawrence Livermore National Laboratory (LLNL) Multiprogrammatic and Institutional Computing program through a Tier 1 Grand Challenge award. This research used the NVIDIA GPU-accelerated Titan, Summit-Dev, and Summit supercomputers at the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725, and the NVIDIA GPU-accelerated Surface, Ray, and Sierra supercomputers LLNL. This work was performed under the auspices of the U.S. Department of Energy by LLNL under Contract No. DE-AC52-07NA27344 and under contract DE-AC02-05CH11231, which the Regents of the University of California manage and operate Lawrence Berkeley National Laboratory and the National Energy Research Scientific Computing Center

Funders	Funder number
Lawrence Berkeley National Laboratory
U.S. Department of Energy	DE-AC05-00OR22725
Office of Science
Lawrence Livermore National Laboratory	DE-AC02-05CH11231, DE-AC52-07NA27344
National Energy Research Scientific Computing Center

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10.1109/SC.2018.00058

Cite this

Berkowitz, E., Clark, M. A., Gambhir, A., McElvain, K., Nicholson, A., Rinaldi, E., Vranas, P., Walker-Loud, A., Chang, C. C., Joo, B., Kurth, T., & Orginos, K. (2018). Simulating the weak death of the neutron in a femtoscale universe with near-exascale computing. In Proceedings - International Conference for High Performance Computing, Networking, Storage, and Analysis, SC 2018 (pp. 697-705). Article 8665785 (Proceedings - International Conference for High Performance Computing, Networking, Storage, and Analysis, SC 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SC.2018.00058

Berkowitz, Evan ; Clark, M. A. ; Gambhir, Arjun et al. / Simulating the weak death of the neutron in a femtoscale universe with near-exascale computing. Proceedings - International Conference for High Performance Computing, Networking, Storage, and Analysis, SC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 697-705 (Proceedings - International Conference for High Performance Computing, Networking, Storage, and Analysis, SC 2018).

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title = "Simulating the weak death of the neutron in a femtoscale universe with near-exascale computing",

abstract = "The fundamental particle theory called Quantum Chromodynamics (QCD) dictates everything about protons and neutrons, from their intrinsic properties to interactions that bind them into atomic nuclei. Quantities that cannot be fully resolved through experiment, such as the neutron lifetime (whose precise value is important for the existence of light-atomic elements that make the sun shine and life possible), may be understood through numerical solutions to QCD. We directly solve QCD using Lattice Gauge Theory and calculate nuclear observables such as neutron lifetime. We have developed an improved algorithm that expoentially decreases the time-to-solution and applied it on the new CORAL supercomputers, Sierra and Summit. We use run-time autotuning to distribute GPU resources, achieving 20% performance at low node count. We also developed optimal application mapping through a job manager, which allows CPU and GPU jobs to be interleaved, yielding 15% of peak performance when deployed across large fractions of CORAL.",

author = "Evan Berkowitz and Clark, {M. A.} and Arjun Gambhir and Ken McElvain and Amy Nicholson and Enrico Rinaldi and Pavlos Vranas and Andre Walker-Loud and Chang, {Chia Cheng} and Balint Joo and Thorsten Kurth and Kostas Orginos",

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Berkowitz, E, Clark, MA, Gambhir, A, McElvain, K, Nicholson, A, Rinaldi, E, Vranas, P, Walker-Loud, A, Chang, CC, Joo, B, Kurth, T & Orginos, K 2018, Simulating the weak death of the neutron in a femtoscale universe with near-exascale computing. in Proceedings - International Conference for High Performance Computing, Networking, Storage, and Analysis, SC 2018., 8665785, Proceedings - International Conference for High Performance Computing, Networking, Storage, and Analysis, SC 2018, Institute of Electrical and Electronics Engineers Inc., pp. 697-705, 2018 International Conference for High Performance Computing, Networking, Storage, and Analysis, SC 2018, Dallas, United States, 11/11/18. https://doi.org/10.1109/SC.2018.00058

Simulating the weak death of the neutron in a femtoscale universe with near-exascale computing. / Berkowitz, Evan; Clark, M. A.; Gambhir, Arjun et al.
Proceedings - International Conference for High Performance Computing, Networking, Storage, and Analysis, SC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 697-705 8665785 (Proceedings - International Conference for High Performance Computing, Networking, Storage, and Analysis, SC 2018).

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

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AU - McElvain, Ken

AU - Nicholson, Amy

AU - Rinaldi, Enrico

AU - Vranas, Pavlos

AU - Walker-Loud, Andre

AU - Chang, Chia Cheng

AU - Joo, Balint

AU - Kurth, Thorsten

AU - Orginos, Kostas

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Berkowitz E, Clark MA, Gambhir A, McElvain K, Nicholson A, Rinaldi E et al. Simulating the weak death of the neutron in a femtoscale universe with near-exascale computing. In Proceedings - International Conference for High Performance Computing, Networking, Storage, and Analysis, SC 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 697-705. 8665785. (Proceedings - International Conference for High Performance Computing, Networking, Storage, and Analysis, SC 2018). doi: 10.1109/SC.2018.00058

Simulating the weak death of the neutron in a femtoscale universe with near-exascale computing

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