Vote for your favorite mineral in #MinCup25! - Carpathite vs. Tugtupite
Battle of mineralogical oddities as organic mineral #carpathite battles against vs #tugtupite, a mineral that looks like reindeer blood!
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Ta, Tuan, Choo, Kyoshin, Tan, Eh, Jang, Byunghyun, Choi, Eunseo (2015) Accelerating DynEarthSol3D on tightly coupled CPU–GPU heterogeneous processors. Computers & Geosciences, 79. 27-37 doi:10.1016/j.cageo.2015.03.003

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleAccelerating DynEarthSol3D on tightly coupled CPU–GPU heterogeneous processors
JournalComputers & Geosciences
AuthorsTa, TuanAuthor
Choo, KyoshinAuthor
Tan, EhAuthor
Jang, ByunghyunAuthor
Choi, EunseoAuthor
Year2015 (June)Volume79
PublisherElsevier BV
DOIdoi:10.1016/j.cageo.2015.03.003Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID454294Long-form Identifiermindat:1:5:454294:4
GUID0
Full ReferenceTa, Tuan, Choo, Kyoshin, Tan, Eh, Jang, Byunghyun, Choi, Eunseo (2015) Accelerating DynEarthSol3D on tightly coupled CPU–GPU heterogeneous processors. Computers & Geosciences, 79. 27-37 doi:10.1016/j.cageo.2015.03.003
Plain TextTa, Tuan, Choo, Kyoshin, Tan, Eh, Jang, Byunghyun, Choi, Eunseo (2015) Accelerating DynEarthSol3D on tightly coupled CPU–GPU heterogeneous processors. Computers & Geosciences, 79. 27-37 doi:10.1016/j.cageo.2015.03.003
In(2015) Computers & Geosciences Vol. 79. Elsevier BV

See Also

These are possibly similar items as determined by title/reference text matching only.

Londhe, Ashutosh, Rastogi, Richa, Srivastava, Abhishek, Khonde, Kiran, Sirasala, Kirannmayi M., Kharche, Komal (2021) Adaptively accelerating FWM2DA seismic modelling program on multi-core CPU and GPU architectures. Computers & Geosciences, 146. 104637pp. doi:10.1016/j.cageo.2020.104637
Logan, Liz C., Lavier, Luc L., Choi, Eunseo, Tan, Eh, Catania, Ginny A. (2017) Semi-brittle rheology and ice dynamics in DynEarthSol3D. The Cryosphere, 11 (1). 117-132 doi:10.5194/tc-11-117-2017
Lu, Fengshun, Song, Junqiang, Cao, Xiaoqun, Zhu, Xiaoqian (2012) CPU/GPU computing for long-wave radiation physics on large GPU clusters. Computers & Geosciences, 41. 47-55 doi:10.1016/j.cageo.2011.08.007
Cheng, Tangpei (2013) Accelerating universal Kriging interpolation algorithm using CUDA-enabled GPU. Computers & Geosciences, 54. 178-183 doi:10.1016/j.cageo.2012.11.013
Liu, Guofeng, Yu, Zhenjiang, Wang, Jun, Li, Bo (2019) Accelerating Kirchhoff Pre-stack depth migration on a GPU by overlapping ray tracing and imaging. Computers & Geosciences, 128. 79-86 doi:10.1016/j.cageo.2019.04.008
Liu, Lu, Ding, Renwei, Liu, Hongwei, Liu, Hong (2015) 3D hybrid-domain full waveform inversion on GPU. Computers & Geosciences, 83. 27-36 doi:10.1016/j.cageo.2015.06.017
Liu, Mingliang, Grana, Dario (2019) Accelerating geostatistical seismic inversion using TensorFlow: A heterogeneous distributed deep learning framework. Computers & Geosciences, 124. 37-45 doi:10.1016/j.cageo.2018.12.007
Steinbach, Mathias, Hemmerling, Reinhard (2012) Accelerating batch processing of spatial raster analysis using GPU. Computers & Geosciences, 45. 212-220 doi:10.1016/j.cageo.2011.11.012
Xu, Jincheng, Liu, Wei, Wang, Jin, Liu, Linong, Zhang, Jianfeng (2018) An efficient implementation of 3D high-resolution imaging for large-scale seismic data with GPU/CPU heterogeneous parallel computing. Computers & Geosciences, 111. 272-282 doi:10.1016/j.cageo.2017.11.020
Tahmasebi, Pejman, Sahimi, Muhammad, Mariethoz, Grégoire, Hezarkhani, Ardeshir (2012) Accelerating geostatistical simulations using graphics processing units (GPU) Computers & Geosciences, 46. 51-59 doi:10.1016/j.cageo.2012.03.028
Mu, Dawei, Chen, Po, Wang, Liqiang (2013) Accelerating the discontinuous Galerkin method for seismic wave propagation simulations using the graphic processing unit (GPU)—single-GPU implementation. Computers & Geosciences, 51. 282-292 doi:10.1016/j.cageo.2012.07.017
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are © OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: September 20, 2025 17:46:49
Go to top of page