Lorena A. Barba group
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The hard road to reproducibility
by Lorena A. Barba Science 07 Oct 2016: Vol. 354, Issue 6308, pp. 142 DOI: 10.1126/science.354.6308.142 Early in my Ph.D. studies, my supervisor assigned me the task of running computer code written by a previous student who was graduated and gone. It was hell. I had to sort through many different versions of the code,... Continue »
Tingyu Wang at the HPC Summer School
Tingyu Wang (seated, with light shorts), in the official photo of the Intl. HPC Summer School (2016).
Prof. Barba gave keynote at PyCon 2016
Lorena Barba, flanked by fellow keynote speakers and PyCon Chair, Brandon Rhodes.
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
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
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 »