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Library Function Tracking with XALT

Authors:

Doug JamesAuthors Info & Claims

XSEDE16: Proceedings of the XSEDE16 Conference on Diversity, Big Data, and Science at Scale

Article No.: 30, Pages 1 - 7

https://doi.org/10.1145/2949550.2949558

Published: 17 July 2016 Publication History

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Abstract

XALT is a tracking tool that collects accurate, detailed, and continuous job-level and link-time data. XALT stores that data in a database and ensures that all the data collection is transparent to the users. XALT tracks libraries and object files linked by the application. A recent feature improvement in XALT enable it to also track external subroutines and functions called by an application. This paper describes the function-tracking implementation in XALT and showcases the kind of data and analysis that becomes available from this new feature. A recently developed web-based interface to XALT database is also described, allowing the staffs of a supercomputing center to more easily understand software usage on their compute resources.

References

[1]

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[2]

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Zhao JHernandez OBudiardja RLopez MSarkar VWells J(2019)Compile-Time Library Call Detection Using CAASCADE and XALTHigh Performance Computing10.1007/978-3-030-02465-9_31(440-447)Online publication date: 25-Jan-2019
https://doi.org/10.1007/978-3-030-02465-9_31
Yamamoto KTsujita YUno A(2018)Classifying Jobs and Predicting Applications in HPC SystemsHigh Performance Computing10.1007/978-3-319-92040-5_5(81-99)Online publication date: 29-May-2018
https://doi.org/10.1007/978-3-319-92040-5_5

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XALT is a job-monitoring tool to collect accurate, detailed, and continuous job level and link-time data on all MPI jobs running on a computing cluster. Due to its usefulness and complementariness to other system logs, XALT has been deployed on Stampede ...

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Published In

XSEDE16: Proceedings of the XSEDE16 Conference on Diversity, Big Data, and Science at Scale

July 2016

405 pages

ISBN:9781450347556

DOI:10.1145/2949550

General Chair:
Kelly Gaither
Texas Advanced Computing Center

Publication rights licensed to ACM. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of the United States government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

In-Cooperation

SIGAPP: ACM Special Interest Group on Applied Computing
Xsede: Xsede
San Diego Supercomputer Center: San Diego Supercomputer Center
NICS: National Institute for Computational Sciences
University of Illinois: The University of Illinois at Urbana-Champaign

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Association for Computing Machinery

New York, NY, United States

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Published: 17 July 2016

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XSEDE16

XSEDE16: Diversity, Big Data, and Science at Scale

July 17 - 21, 2016

Miami, USA

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Overall Acceptance Rate 129 of 190 submissions, 68%

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Zhao JHernandez OBudiardja RLopez MSarkar VWells J(2019)Compile-Time Library Call Detection Using CAASCADE and XALTHigh Performance Computing10.1007/978-3-030-02465-9_31(440-447)Online publication date: 25-Jan-2019
https://doi.org/10.1007/978-3-030-02465-9_31
Yamamoto KTsujita YUno A(2018)Classifying Jobs and Predicting Applications in HPC SystemsHigh Performance Computing10.1007/978-3-319-92040-5_5(81-99)Online publication date: 29-May-2018
https://doi.org/10.1007/978-3-319-92040-5_5

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Recommendations

Community use of XALT in its first year in production

User environment tracking and problem detection with XALT

A web interface for XALT log data analysis

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