article

Bringing HPC to Engineering Innovation

Authors:

Mark Shephard,

Cameron Smith,

John KolbAuthors Info & Claims

Computing in Science and Engineering, Volume 15, Issue 1

Pages 16 - 25

https://doi.org/10.1109/MCSE.2012.128

Published: 01 January 2013 Publication History

Abstract

Although there's a widespread belief that the effective application of high-performance computing will dramatically increase industrial innovation, progress in this area has been slow and limited because of a combination of technical and economic impediments. Here, such impediments are outlined, along with efforts to address them.

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Karozis SZiouvelou XKarkaletsis V(2023)Mapping the national HPC ecosystem and training needs: The Greek paradigmThe Journal of Supercomputing10.1007/s11227-023-05080-y79:10(10691-10705)Online publication date: 15-Feb-2023
https://dl.acm.org/doi/10.1007/s11227-023-05080-y
Lapworth L(2022)Parallel encryption of input and output data for HPC applicationsInternational Journal of High Performance Computing Applications10.1177/1094342021101651636:2(231-250)Online publication date: 1-Mar-2022
https://dl.acm.org/doi/10.1177/10943420211016516
Loseille AAlauzet FMenier V(2017)Unique cavity-based operator and hierarchical domain partitioning for fast parallel generation of anisotropic meshesComputer-Aided Design10.1016/j.cad.2016.09.00885:C(53-67)Online publication date: 1-Apr-2017
https://dl.acm.org/doi/10.1016/j.cad.2016.09.008
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cover image Computing in Science and Engineering

Computing in Science and Engineering Volume 15, Issue 1

January 2013

97 pages

ISSN:1521-9615

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Publisher

IEEE Educational Activities Department

United States

Publication History

Published: 01 January 2013

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Karozis SZiouvelou XKarkaletsis V(2023)Mapping the national HPC ecosystem and training needs: The Greek paradigmThe Journal of Supercomputing10.1007/s11227-023-05080-y79:10(10691-10705)Online publication date: 15-Feb-2023
https://dl.acm.org/doi/10.1007/s11227-023-05080-y
Lapworth L(2022)Parallel encryption of input and output data for HPC applicationsInternational Journal of High Performance Computing Applications10.1177/1094342021101651636:2(231-250)Online publication date: 1-Mar-2022
https://dl.acm.org/doi/10.1177/10943420211016516
Loseille AAlauzet FMenier V(2017)Unique cavity-based operator and hierarchical domain partitioning for fast parallel generation of anisotropic meshesComputer-Aided Design10.1016/j.cad.2016.09.00885:C(53-67)Online publication date: 1-Apr-2017
https://dl.acm.org/doi/10.1016/j.cad.2016.09.008
Bloomfield MLi ZGranzow BIbanez DOberai AHansen GLiu XShephard M(2017)Component-based workflows for parallel thermomechanical analysis of arrayed geometriesEngineering with Computers10.1007/s00366-016-0487-533:3(509-517)Online publication date: 1-Jul-2017
https://dl.acm.org/doi/10.1007/s00366-016-0487-5
Smith CTran SSahni OBehafarid FShephard MSingh RPeterson G(2015)Enabling HPC simulation workflows for complex industrial flow problemsProceedings of the 2015 XSEDE Conference: Scientific Advancements Enabled by Enhanced Cyberinfrastructure10.1145/2792745.2792786(1-7)Online publication date: 26-Jul-2015
https://dl.acm.org/doi/10.1145/2792745.2792786
Shephard MSmith CLathrop SAlameda J(2014)HPC Simulation Workflows for Engineering InnovationProceedings of the 2014 Annual Conference on Extreme Science and Engineering Discovery Environment10.1145/2616498.2616556(1-2)Online publication date: 13-Jul-2014
https://dl.acm.org/doi/10.1145/2616498.2616556

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