CAASCADE: A System for Static Analysis of HPC Software Application Portfolios

M. Graham Lopez; Oscar Hernandez; Reuben D. Budiardja; Jack C. Wells

doi:10.1007/978-3-030-17872-7_6

CAASCADE: A System for Static Analysis of HPC Software Application Portfolios

M. Graham Lopez, Oscar Hernandez, Reuben D. Budiardja, Jack C. Wells

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

Abstract

With the increasing complexity of upcoming HPC systems, so-called “co-design” efforts to develop the hardware and applications in concert for these systems also become more challenging. It is currently difficult to gather information about the usage of programming model features, libraries, and data structure considerations in a quantitative way across a variety of applications, and this information is needed to prioritize development efforts in systems software and hardware optimizations. In this paper we propose CAASCADE, a system that can harvest this information in an automatic way in production HPC environments, and we show some early results from a prototype of the system based on GNU compilers and a MySQL database.

Original language	English
Title of host publication	Programming and Performance Visualization Tools - International Workshops, ESPT 2017 and VPA 2017, Revised Selected Papers
Editors	Abhinav Bhatele, David Boehme, Joshua A. Levine, Allen D. Malony, Martin Schulz
Publisher	Springer Verlag
Pages	90-104
Number of pages	15
ISBN (Print)	9783030178710
DOIs	https://doi.org/10.1007/978-3-030-17872-7_6
State	Published - 2019
Event	6th Workshop on Extreme-Scale Programming Tools, ESPT 2017 and 4th International Workshop on Visual Performance Analysis, VPA 2017 and Workshop on Extreme-Scale Programming Tools, ESPT 2018 and 5th International Workshop on Visual Performance Analysis, VPA 2018 - Dallas, United States Duration: Nov 11 2018 → Nov 16 2018

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11027 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	6th Workshop on Extreme-Scale Programming Tools, ESPT 2017 and 4th International Workshop on Visual Performance Analysis, VPA 2017 and Workshop on Extreme-Scale Programming Tools, ESPT 2018 and 5th International Workshop on Visual Performance Analysis, VPA 2018
Country/Territory	United States
City	Dallas
Period	11/11/18 → 11/16/18

Funding

Research sponsored by the Laboratory Directed Research and Development Program of Oak Ridge National Laboratory, managed by UT-Battelle, LLC, for the U. S. Department of Energy. The project was sponsored via the LDRD project 8277: “Understanding HPC Applications for Evidence-based Co-design”. This research used resources of 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. Acknowledgements. This material is based upon work supported by the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research, under contract number DE-AC05-00OR22725.

Funders	Funder number
U.S. Department of Energy
Office of Science
Advanced Scientific Computing Research	DE-AC05-00OR22725
Oak Ridge National Laboratory

Access to Document

10.1007/978-3-030-17872-7_6

Cite this

Lopez, M. G., Hernandez, O., Budiardja, R. D., & Wells, J. C. (2019). CAASCADE: A System for Static Analysis of HPC Software Application Portfolios. In A. Bhatele, D. Boehme, J. A. Levine, A. D. Malony, & M. Schulz (Eds.), Programming and Performance Visualization Tools - International Workshops, ESPT 2017 and VPA 2017, Revised Selected Papers (pp. 90-104). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11027 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-17872-7_6

Lopez, M. Graham ; Hernandez, Oscar ; Budiardja, Reuben D. et al. / CAASCADE : A System for Static Analysis of HPC Software Application Portfolios. Programming and Performance Visualization Tools - International Workshops, ESPT 2017 and VPA 2017, Revised Selected Papers. editor / Abhinav Bhatele ; David Boehme ; Joshua A. Levine ; Allen D. Malony ; Martin Schulz. Springer Verlag, 2019. pp. 90-104 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "With the increasing complexity of upcoming HPC systems, so-called “co-design” efforts to develop the hardware and applications in concert for these systems also become more challenging. It is currently difficult to gather information about the usage of programming model features, libraries, and data structure considerations in a quantitative way across a variety of applications, and this information is needed to prioritize development efforts in systems software and hardware optimizations. In this paper we propose CAASCADE, a system that can harvest this information in an automatic way in production HPC environments, and we show some early results from a prototype of the system based on GNU compilers and a MySQL database.",

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Lopez, MG, Hernandez, O , Budiardja, RD & Wells, JC 2019, CAASCADE: A System for Static Analysis of HPC Software Application Portfolios. in A Bhatele, D Boehme, JA Levine, AD Malony & M Schulz (eds), Programming and Performance Visualization Tools - International Workshops, ESPT 2017 and VPA 2017, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11027 LNCS, Springer Verlag, pp. 90-104, 6th Workshop on Extreme-Scale Programming Tools, ESPT 2017 and 4th International Workshop on Visual Performance Analysis, VPA 2017 and Workshop on Extreme-Scale Programming Tools, ESPT 2018 and 5th International Workshop on Visual Performance Analysis, VPA 2018, Dallas, United States, 11/11/18. https://doi.org/10.1007/978-3-030-17872-7_6

CAASCADE: A System for Static Analysis of HPC Software Application Portfolios. / Lopez, M. Graham; Hernandez, Oscar ; Budiardja, Reuben D. et al.
Programming and Performance Visualization Tools - International Workshops, ESPT 2017 and VPA 2017, Revised Selected Papers. ed. / Abhinav Bhatele; David Boehme; Joshua A. Levine; Allen D. Malony; Martin Schulz. Springer Verlag, 2019. p. 90-104 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11027 LNCS).

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

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AB - With the increasing complexity of upcoming HPC systems, so-called “co-design” efforts to develop the hardware and applications in concert for these systems also become more challenging. It is currently difficult to gather information about the usage of programming model features, libraries, and data structure considerations in a quantitative way across a variety of applications, and this information is needed to prioritize development efforts in systems software and hardware optimizations. In this paper we propose CAASCADE, a system that can harvest this information in an automatic way in production HPC environments, and we show some early results from a prototype of the system based on GNU compilers and a MySQL database.

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Lopez MG, Hernandez O , Budiardja RD, Wells JC. CAASCADE: A System for Static Analysis of HPC Software Application Portfolios. In Bhatele A, Boehme D, Levine JA, Malony AD, Schulz M, editors, Programming and Performance Visualization Tools - International Workshops, ESPT 2017 and VPA 2017, Revised Selected Papers. Springer Verlag. 2019. p. 90-104. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-17872-7_6

CAASCADE: A System for Static Analysis of HPC Software Application Portfolios

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