A Maya use case: Adaptable scientific workflows with ADIOS for general relativistic astrophysics

Magdalena Slawinska; Tanja Bode; Jeremy Logan; Michael Clark; Hongbo Zou; Matthew Kinsey; Matthew Wolf; Pablo Laguna; Scott Klasky

doi:10.1145/2484762.2484795

A Maya use case: Adaptable scientific workflows with ADIOS for general relativistic astrophysics

Magdalena Slawinska
, Tanja Bode
, Jeremy Logan
, Michael Clark
, Hongbo Zou
, Matthew Kinsey
, Matthew Wolf
, Pablo Laguna
, Scott Klasky

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

2 Scopus citations

Abstract

There are many challenges in analyzing and visualizing data from current cutting-edge general relativistic astrophysics simulations. Many of the associated tasks are time-consuming with large performance degradation due to the magnitude and complexity of the data. The Adaptable I/O System (ADIOS) is a componentization of the I/O layer that has demonstrated remarkable I/O performance improvements on applications running on leadership class machines while also offering new in-memory "staging" operations for transforming data in-situ. We have been incorporating ADIOS staging technologies into our Maya numerical relativity code based on Cactus infrastructure and Carpet mesh refinement. Incorporating ADIOS into the Maya code is the first step toward enabling a more adaptable Maya workflow. We provide descriptions how we intend to leverage FlexPath (an ADIOS transport method) to provide a richer user experience in real-time visualization and interactive steering.

Original language	English
Title of host publication	Proceedings of the XSEDE 2013 Conference
Subtitle of host publication	Gateway to Discovery
DOIs	https://doi.org/10.1145/2484762.2484795
State	Published - 2013
Event	Conference on Extreme Science and Engineering Discovery Environment, XSEDE 2013 - San Diego, CA, United States Duration: Jul 22 2013 → Jul 25 2013

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	Conference on Extreme Science and Engineering Discovery Environment, XSEDE 2013
Country/Territory	United States
City	San Diego, CA
Period	07/22/13 → 07/25/13

Keywords

Adaptable workflows
Adios
Astrophysics
In-situ visualization
In-transit visualization
Remote visualization
Visit

Access to Document

10.1145/2484762.2484795

Cite this

Slawinska, M., Bode, T., Logan, J., Clark, M., Zou, H., Kinsey, M., Wolf, M., Laguna, P., & Klasky, S. (2013). A Maya use case: Adaptable scientific workflows with ADIOS for general relativistic astrophysics. In Proceedings of the XSEDE 2013 Conference: Gateway to Discovery Article 54 (ACM International Conference Proceeding Series). https://doi.org/10.1145/2484762.2484795

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title = "A Maya use case: Adaptable scientific workflows with ADIOS for general relativistic astrophysics",

abstract = "There are many challenges in analyzing and visualizing data from current cutting-edge general relativistic astrophysics simulations. Many of the associated tasks are time-consuming with large performance degradation due to the magnitude and complexity of the data. The Adaptable I/O System (ADIOS) is a componentization of the I/O layer that has demonstrated remarkable I/O performance improvements on applications running on leadership class machines while also offering new in-memory {"}staging{"} operations for transforming data in-situ. We have been incorporating ADIOS staging technologies into our Maya numerical relativity code based on Cactus infrastructure and Carpet mesh refinement. Incorporating ADIOS into the Maya code is the first step toward enabling a more adaptable Maya workflow. We provide descriptions how we intend to leverage FlexPath (an ADIOS transport method) to provide a richer user experience in real-time visualization and interactive steering.",

keywords = "Adaptable workflows, Adios, Astrophysics, In-situ visualization, In-transit visualization, Remote visualization, Visit",

author = "Magdalena Slawinska and Tanja Bode and Jeremy Logan and Michael Clark and Hongbo Zou and Matthew Kinsey and Matthew Wolf and Pablo Laguna and Scott Klasky",

year = "2013",

doi = "10.1145/2484762.2484795",

language = "English",

isbn = "9781450321709",

series = "ACM International Conference Proceeding Series",

booktitle = "Proceedings of the XSEDE 2013 Conference",

note = "Conference on Extreme Science and Engineering Discovery Environment, XSEDE 2013 ; Conference date: 22-07-2013 Through 25-07-2013",

}

Slawinska, M, Bode, T, Logan, J, Clark, M, Zou, H, Kinsey, M, Wolf, M, Laguna, P & Klasky, S 2013, A Maya use case: Adaptable scientific workflows with ADIOS for general relativistic astrophysics. in Proceedings of the XSEDE 2013 Conference: Gateway to Discovery., 54, ACM International Conference Proceeding Series, Conference on Extreme Science and Engineering Discovery Environment, XSEDE 2013, San Diego, CA, United States, 07/22/13. https://doi.org/10.1145/2484762.2484795

A Maya use case: Adaptable scientific workflows with ADIOS for general relativistic astrophysics. / Slawinska, Magdalena; Bode, Tanja; Logan, Jeremy et al.
Proceedings of the XSEDE 2013 Conference: Gateway to Discovery. 2013. 54 (ACM International Conference Proceeding Series).

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

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AU - Slawinska, Magdalena

AU - Bode, Tanja

AU - Logan, Jeremy

AU - Clark, Michael

AU - Zou, Hongbo

AU - Kinsey, Matthew

AU - Wolf, Matthew

AU - Laguna, Pablo

AU - Klasky, Scott

PY - 2013

Y1 - 2013

N2 - There are many challenges in analyzing and visualizing data from current cutting-edge general relativistic astrophysics simulations. Many of the associated tasks are time-consuming with large performance degradation due to the magnitude and complexity of the data. The Adaptable I/O System (ADIOS) is a componentization of the I/O layer that has demonstrated remarkable I/O performance improvements on applications running on leadership class machines while also offering new in-memory "staging" operations for transforming data in-situ. We have been incorporating ADIOS staging technologies into our Maya numerical relativity code based on Cactus infrastructure and Carpet mesh refinement. Incorporating ADIOS into the Maya code is the first step toward enabling a more adaptable Maya workflow. We provide descriptions how we intend to leverage FlexPath (an ADIOS transport method) to provide a richer user experience in real-time visualization and interactive steering.

AB - There are many challenges in analyzing and visualizing data from current cutting-edge general relativistic astrophysics simulations. Many of the associated tasks are time-consuming with large performance degradation due to the magnitude and complexity of the data. The Adaptable I/O System (ADIOS) is a componentization of the I/O layer that has demonstrated remarkable I/O performance improvements on applications running on leadership class machines while also offering new in-memory "staging" operations for transforming data in-situ. We have been incorporating ADIOS staging technologies into our Maya numerical relativity code based on Cactus infrastructure and Carpet mesh refinement. Incorporating ADIOS into the Maya code is the first step toward enabling a more adaptable Maya workflow. We provide descriptions how we intend to leverage FlexPath (an ADIOS transport method) to provide a richer user experience in real-time visualization and interactive steering.

KW - Adaptable workflows

KW - Adios

KW - Astrophysics

KW - In-situ visualization

KW - In-transit visualization

KW - Remote visualization

KW - Visit

UR - https://www.scopus.com/pages/publications/84882357091

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DO - 10.1145/2484762.2484795

M3 - Conference contribution

AN - SCOPUS:84882357091

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T3 - ACM International Conference Proceeding Series

BT - Proceedings of the XSEDE 2013 Conference

Y2 - 22 July 2013 through 25 July 2013

ER -

A Maya use case: Adaptable scientific workflows with ADIOS for general relativistic astrophysics

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Keywords

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