Multichannel Analysis of Surface Waves Accelerated (MASWAccelerated): Software for efficient surface wave inversion using MPI and GPUs

Kump, Joseph; Martin, Eileen R.

doi:10.1016/j.cageo.2021.104903

Title: Multichannel Analysis of Surface Waves Accelerated (MASWAccelerated): Software for efficient surface wave inversion using MPI and GPUs

Authors:

Kump, Joseph;

Publication Date:: 2021-11-01

Sponsoring Org.:: USDOE

OSTI Identifier:: 1814540

Grant/Contract Number:: SC0019630

Resource Type:: Publisher's Accepted Manuscript

Journal Name:: Computers and Geosciences

Additional Journal Information:: Journal Name: Computers and Geosciences Journal Volume: 156 Journal Issue: C; Journal ID: ISSN 0098-3004

Publisher:: Elsevier

Country of Publication:: United Kingdom

Language:: English

Citation Formats


                    Kump, Joseph, and Martin, Eileen R. Multichannel Analysis of Surface Waves Accelerated (MASWAccelerated): Software for efficient surface wave inversion using MPI and GPUs.  United Kingdom: N. p., 2021. 
Web.  doi:10.1016/j.cageo.2021.104903.

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                    Kump, Joseph, & Martin, Eileen R. Multichannel Analysis of Surface Waves Accelerated (MASWAccelerated): Software for efficient surface wave inversion using MPI and GPUs.  United Kingdom.  https://doi.org/10.1016/j.cageo.2021.104903

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                    Kump, Joseph, and Martin, Eileen R. Mon .  
"Multichannel Analysis of Surface Waves Accelerated (MASWAccelerated): Software for efficient surface wave inversion using MPI and GPUs".  United Kingdom.  https://doi.org/10.1016/j.cageo.2021.104903.

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@article{osti_1814540,

  title        = {Multichannel Analysis of Surface Waves Accelerated (MASWAccelerated): Software for efficient surface wave inversion using MPI and GPUs},

  author       = {Kump, Joseph and Martin, Eileen R.},

  abstractNote = {},

  doi          = {10.1016/j.cageo.2021.104903},

  journal      = {Computers and Geosciences},

  number       = C,

  volume       = 156,

  place        = {United Kingdom},

  year         = {2021},

  month        = {11}

}

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Works referenced in this record:

Guidelines for the good practice of surface wave analysis: a product of the InterPACIFIC project
journal, September 2017

Foti, Sebastiano; Hollender, Fabrice; Garofalo, Flora
Bulletin of Earthquake Engineering, Vol. 16, Issue 6
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Addressing non-uniqueness in linearized multichannel surface wave inversion
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Cercato, Michele
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Pattern search algorithms for nonlinear inversion of high-frequency Rayleigh-wave dispersion curves
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Multichannel analysis of surface waves (MASW)—active and passive methods
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Adaptively accelerating FWM2DA seismic modelling program on multi-core CPU and GPU architectures
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Londhe, Ashutosh; Rastogi, Richa; Srivastava, Abhishek
Computers & Geosciences, Vol. 146
DOI: 10.1016/j.cageo.2020.104637

Tool for analysis of multichannel analysis of surface waves (MASW) field data and evaluation of shear wave velocity profiles of soils
journal, February 2018

Olafsdottir, Elin Asta; Erlingsson, Sigurdur; Bessason, Bjarni
Canadian Geotechnical Journal, Vol. 55, Issue 2
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Faster, Better: Shear-Wave Velocity to 100 Meters Depth from Refraction Microtremor Arrays
journal, April 2001

Louie, J. N.
Bulletin of the Seismological Society of America, Vol. 91, Issue 2
DOI: 10.1785/0120000098

Automatic picking of multi-mode surface-wave dispersion curves based on machine learning clustering methods
journal, August 2021

Wang, Zhinong; Sun, Chengyu; Wu, Dunshi
Computers & Geosciences, Vol. 153
DOI: 10.1016/j.cageo.2021.104809

Distributed Acoustic Sensing for Seismic Monitoring of The Near Surface: A Traffic-Noise Interferometry Case Study
journal, September 2017

Dou, Shan; Lindsey, Nate; Wagner, Anna M.
Scientific Reports, Vol. 7, Issue 1
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Noisy Dispersion Curve Picking (NDCP): A Matlab package for group velocity dispersion picking of seismic surface waves
journal, December 2019

Granados, Iván; Calò, Marco; Ramos, Valente
Computers & Geosciences, Vol. 133
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Application of artificial bee colony algorithm on surface wave data
journal, October 2015

Song, Xianhai; Gu, Hanming; Tang, Li
Computers & Geosciences, Vol. 83
DOI: 10.1016/j.cageo.2015.07.010

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Title: Multichannel Analysis of Surface Waves Accelerated (MASWAccelerated): Software for efficient surface wave inversion using MPI and GPUs

Citation Formats

Guidelines for the good practice of surface wave analysis: a product of the InterPACIFIC project journal, September 2017

Addressing non-uniqueness in linearized multichannel surface wave inversion journal, January 2009

Pattern search algorithms for nonlinear inversion of high-frequency Rayleigh-wave dispersion curves journal, June 2008

Multichannel analysis of surface waves (MASW)—active and passive methods journal, January 2007

Adaptively accelerating FWM2DA seismic modelling program on multi-core CPU and GPU architectures journal, January 2021

Tool for analysis of multichannel analysis of surface waves (MASW) field data and evaluation of shear wave velocity profiles of soils journal, February 2018

Faster, Better: Shear-Wave Velocity to 100 Meters Depth from Refraction Microtremor Arrays journal, April 2001

Automatic picking of multi-mode surface-wave dispersion curves based on machine learning clustering methods journal, August 2021

Distributed Acoustic Sensing for Seismic Monitoring of The Near Surface: A Traffic-Noise Interferometry Case Study journal, September 2017

Noisy Dispersion Curve Picking (NDCP): A Matlab package for group velocity dispersion picking of seismic surface waves journal, December 2019

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journal, September 2017

Addressing non-uniqueness in linearized multichannel surface wave inversion
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journal, February 2018

Faster, Better: Shear-Wave Velocity to 100 Meters Depth from Refraction Microtremor Arrays
journal, April 2001

Automatic picking of multi-mode surface-wave dispersion curves based on machine learning clustering methods
journal, August 2021

Distributed Acoustic Sensing for Seismic Monitoring of The Near Surface: A Traffic-Noise Interferometry Case Study
journal, September 2017

Noisy Dispersion Curve Picking (NDCP): A Matlab package for group velocity dispersion picking of seismic surface waves
journal, December 2019

Application of artificial bee colony algorithm on surface wave data
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