Lorena A. Barba group


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Reproducible and replicable CFD: it's harder than you think

Submitted: 13 May 2016. Preprint arXiv:1605.04339 Accepted: 13 Oct. 2016, Computing in Science and Engineering. Published: 17 Aug. 2017. Overview We do our best to accomplish reproducible research and have for years worked to improve our practices to achieve this goal. Barba made a pledge in 2012, the “Reproducibility PI Manifesto,” according to which all our research... Continue »

Barba group student news

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Barba group students have been awarded fantastic opportunities this year! Tingyu Wang was selected to participate in the International High-Performance Computing Summer School in Slovenia (June 26 to July 1). This will be the seventh instance of this international summer school, a collaboration of the National Science Foundation XSEDE program, the European PRACE program, Calcul Canada and... Continue »

Pi-Yueh Chuang at GTC 2016

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At this year's NVIDIA GPU Technology Conference, PhD student Pi-Yueh Chuang presented the work "Using AmgX to Accelerate PETSc Codes." AmgX is an NVIDIA library that provides sparse linear solvers, smoothers and preconditioners on GPU devices. Pi-Yueh presented his work to couple AmgX with our fluid-flow solver, PetIBM. This code solves the Navier-Stokes equations on Cartesian... Continue »