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Performance Analysis of Applications using Singularity Container on SDSC Comet

Authors:

Emily Le,

David PazAuthors Info & Claims

PEARC '17: Practice and Experience in Advanced Research Computing 2017: Sustainability, Success and Impact

Article No.: 66, Pages 1 - 4

https://doi.org/10.1145/3093338.3106737

Published: 09 July 2017 Publication History

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Abstract

Multiple nodes of the Comet supercomputer at the San Diego Supercomputer Center were used to analyse and compare (between Singularity and non-Singularity) performance of resource intensive applications of benchmark codes such as NEURON (a computational neuronal simulation tool), OSU Benchmarks, and Intel MPI Benchmarks (IMB). NEURON software was used to simulate a complex neuronal network model (Jones Model from ModelDB hosted at Yale University) and the IMB benchmarks were used to calculate the latency and performance of each method. communication efficiency of MPI. The containerized runtimes were directly compared with the corresponding non-containerized runtime of jobs to analyse the performance of each method. For future work, we plan to explore other technologies such as Shifter and study their performance on HPC.

References

[1]

Jones SR, Pritchett DL, Stufflebeam SM, Hamalainen M, Moore CI (2007) Neural correlates of tactile detection: a combined magnetoencephalography and biophysically based computational modeling study. J Neurosci 27:10751-64

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[2]

G. Slavova, Intel MPI Benchmarks, Intel, 2017.

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D. Panda. OSU, NERSC, 2017.

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M. Hines, NEURON, 2017.

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Abraham SProut RRobinson TBlanton CDavis M(2024)Evaluating integration and performance of containerized climate applications on a Hewlett Packard Enterprise Cray systemConcurrency and Computation: Practice and Experience10.1002/cpe.796636:16Online publication date: 31-May-2024
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Menyhárt TPolgár PBaksay CTajti TKocsis GGál Z(2023)Performance of Parallel and Storage Intensive Jobs on Clustered Singularity Containers2023 IEEE 21st Jubilee International Symposium on Intelligent Systems and Informatics (SISY)10.1109/SISY60376.2023.10417911(000515-000520)Online publication date: 21-Sep-2023
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Published In

PEARC '17: Practice and Experience in Advanced Research Computing 2017: Sustainability, Success and Impact

July 2017

451 pages

ISBN:9781450352727

DOI:10.1145/3093338

General Chair:
David Hart
National Center for Atmospheric Research

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 July 2017

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Poster
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PEARC17

PEARC17: Practice and Experience in Advanced Research Computing 2017

July 9 - 13, 2017

LA, New Orleans, USA

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PEARC '17 Paper Acceptance Rate 54 of 79 submissions, 68%;

Overall Acceptance Rate 133 of 202 submissions, 66%

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https://doi.org/10.1002/cpe.7966
Menyhárt TPolgár PBaksay CTajti TKocsis GGál Z(2023)Performance of Parallel and Storage Intensive Jobs on Clustered Singularity Containers2023 IEEE 21st Jubilee International Symposium on Intelligent Systems and Informatics (SISY)10.1109/SISY60376.2023.10417911(000515-000520)Online publication date: 21-Sep-2023
https://doi.org/10.1109/SISY60376.2023.10417911
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Hobson TYildiz ONicolae BHuang JPeterka T(2021)Shared-Memory Communication for Containerized Workflows2021 IEEE/ACM 21st International Symposium on Cluster, Cloud and Internet Computing (CCGrid)10.1109/CCGrid51090.2021.00022(123-132)Online publication date: May-2021
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