Submitted: April 18, 2019. Preprint: arXiv 1904.07981 Revised: Aug. 22. Accepted: Sep. 4. Published: Sep. 17, 2019 DOI 10.1109/MCSE.2019.2941702 Abstract In a new effort to make our research transparent and reproducible by others, we developed a workflow to run and share computational studies on the public cloud Microsoft Azure. It uses Docker containers to create an... Continue »
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 »
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 »
Submitted: September 16, 2013. Accepted in Physics of Fluids: February 10, 2014. This paper presents a computational study of the aerodynamics of an anatomically correct cross-section of Chrysopelia paradisi, the flying snake. These animals inhabit the canopy of rainforests in East Asia, and have a very peculiar method of locomotion: they jump from tree branches, change... Continue »
We announce the public release of online educational materials for self-learners of CFD using IPython Notebooks: the CFD Python Class! Update! (Jan.2014) CFD Python has a new home on GitHub Some background This post describes the first practical module of Prof. Barba's Computational Fluid Dynamics class, as taught between 2010 and 2013 at Boston University. The... Continue »
Vorticity field in the wake behind a snake cross-section at a Reynolds number of 2000 and 35-degrees angle of attack.