Data and workflow management for exascale global adjoint tomography

Matthieu Lefebvre; Yangkang Chen; Wenjie Lei; David Luet; Youyi Ruan; Ebru Bozdağ; Judith Hill; Dimitri Komatitsch; Lion Krischer; Daniel Peter; Norbert Podhorszki; James Smith; Jeroen Tromp

doi:10.1201/b21930

Data and workflow management for exascale global adjoint tomography

Matthieu Lefebvre, Yangkang Chen, Wenjie Lei, David Luet, Youyi Ruan, Ebru Bozdağ, Judith Hill, Dimitri Komatitsch, Lion Krischer, Daniel Peter, Norbert Podhorszki, James Smith, Jeroen Tromp

Physical Sciences and Engineering

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

3 Scopus citations

Abstract

Striving to comprehend Earth’s interior has been a longstanding pursuit for humankind, and has been fantasized by many, from Dante Alighieri [1] to Jules Vernes [2]. Seismologists see Earth’s interior through seismic waves generated by seismic sources such as earthquakes, oceanic noise, or man-made explosions and recorded by seismic instruments deployed at the surface. The information inherent to these seismic waves, which are sensitive to physical parameters of the medium they propagate through, is used to construct three-dimensional (3D) images of the Earth based on seismic tomography. Advances in the theory of wave propagation and 3D numerical solvers, supported by 280dramatic increases in the amount and quality of seismic data as well as the unprecedented amount of computational power provided by large-scale high-performance computing centers, enables us to greatly improve our understanding of the physics and chemistry of Earth’s interior.

Original language	English (US)
Title of host publication	Exascale Scientific Applications
Subtitle of host publication	Scalability and Performance Portability
Publisher	CRC Press
Pages	279-306
Number of pages	28
ISBN (Electronic)	9781351999243
ISBN (Print)	9781138197541
DOIs	https://doi.org/10.1201/b21930
State	Published - Jan 1 2017

ASJC Scopus subject areas

General Computer Science
General Mathematics
General Physics and Astronomy

Access to Document

10.1201/b21930

Cite this

@inbook{ff9eedeb90d544148b4e51b7652bb664,

title = "Data and workflow management for exascale global adjoint tomography",

abstract = "Striving to comprehend Earth{\textquoteright}s interior has been a longstanding pursuit for humankind, and has been fantasized by many, from Dante Alighieri [1] to Jules Vernes [2]. Seismologists see Earth{\textquoteright}s interior through seismic waves generated by seismic sources such as earthquakes, oceanic noise, or man-made explosions and recorded by seismic instruments deployed at the surface. The information inherent to these seismic waves, which are sensitive to physical parameters of the medium they propagate through, is used to construct three-dimensional (3D) images of the Earth based on seismic tomography. Advances in the theory of wave propagation and 3D numerical solvers, supported by 280dramatic increases in the amount and quality of seismic data as well as the unprecedented amount of computational power provided by large-scale high-performance computing centers, enables us to greatly improve our understanding of the physics and chemistry of Earth{\textquoteright}s interior.",

author = "Matthieu Lefebvre and Yangkang Chen and Wenjie Lei and David Luet and Youyi Ruan and Ebru Bozdağ and Judith Hill and Dimitri Komatitsch and Lion Krischer and Daniel Peter and Norbert Podhorszki and James Smith and Jeroen Tromp",

note = "Publisher Copyright: {\textcopyright} 2018 by Taylor and Francis Group, LLC.",

year = "2017",

month = jan,

day = "1",

doi = "10.1201/b21930",

language = "English (US)",

isbn = "9781138197541",

pages = "279--306",

booktitle = "Exascale Scientific Applications",

publisher = "CRC Press",

}

TY - CHAP

T1 - Data and workflow management for exascale global adjoint tomography

AU - Lefebvre, Matthieu

AU - Chen, Yangkang

AU - Lei, Wenjie

AU - Luet, David

AU - Ruan, Youyi

AU - Bozdağ, Ebru

AU - Hill, Judith

AU - Komatitsch, Dimitri

AU - Krischer, Lion

AU - Peter, Daniel

AU - Podhorszki, Norbert

AU - Smith, James

AU - Tromp, Jeroen

PY - 2017/1/1

Y1 - 2017/1/1

N2 - Striving to comprehend Earth’s interior has been a longstanding pursuit for humankind, and has been fantasized by many, from Dante Alighieri [1] to Jules Vernes [2]. Seismologists see Earth’s interior through seismic waves generated by seismic sources such as earthquakes, oceanic noise, or man-made explosions and recorded by seismic instruments deployed at the surface. The information inherent to these seismic waves, which are sensitive to physical parameters of the medium they propagate through, is used to construct three-dimensional (3D) images of the Earth based on seismic tomography. Advances in the theory of wave propagation and 3D numerical solvers, supported by 280dramatic increases in the amount and quality of seismic data as well as the unprecedented amount of computational power provided by large-scale high-performance computing centers, enables us to greatly improve our understanding of the physics and chemistry of Earth’s interior.

AB - Striving to comprehend Earth’s interior has been a longstanding pursuit for humankind, and has been fantasized by many, from Dante Alighieri [1] to Jules Vernes [2]. Seismologists see Earth’s interior through seismic waves generated by seismic sources such as earthquakes, oceanic noise, or man-made explosions and recorded by seismic instruments deployed at the surface. The information inherent to these seismic waves, which are sensitive to physical parameters of the medium they propagate through, is used to construct three-dimensional (3D) images of the Earth based on seismic tomography. Advances in the theory of wave propagation and 3D numerical solvers, supported by 280dramatic increases in the amount and quality of seismic data as well as the unprecedented amount of computational power provided by large-scale high-performance computing centers, enables us to greatly improve our understanding of the physics and chemistry of Earth’s interior.

UR - http://www.scopus.com/inward/record.url?scp=85052442941&partnerID=8YFLogxK

U2 - 10.1201/b21930

DO - 10.1201/b21930

M3 - Chapter

AN - SCOPUS:85052442941

SN - 9781138197541

SP - 279

EP - 306

BT - Exascale Scientific Applications

PB - CRC Press

ER -

Data and workflow management for exascale global adjoint tomography

Abstract

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this