http://www.its.caltech.edu/~raymondj/LCS/ Reference: Raymond Jimenez and Joris Vankerschavery, Optimization of FTLE Calculations Using nVidia's CUDA. August 14, 2009 PS. Since the official site is not very stable, I mirrored the page below. Also, the software is mirrored to here. The credit belongs to the authors. LCS, FTLE, and CUDASummer 2009, I participated in the Freshman Summer Research Institute at Caltech under the guidance of Joris Vankerschaver. FSRI offers incoming Caltech freshmen a five week research job and a primer math course that helps with Math 1a. I studied accelerating the computation of FTLE fields and LCS by parallel processing using nVidia CUDA. Here's the final paper (PDF, 3.1M). I was able to achieve a 1000x speedup over a naive FTLE implementation, so a comparable real-world speedup would be 50-100x. But, the most interesting things are the pictures and videos and software: cuda_ftleDownloadcuda_ftle-0.9.tar.bz2 (16M) contains all of the source code and most of the documentation you'll need to get going. Released August 14, 2009. Features of this software include a performance boost from CUDA, a fast data plotter (graph_data), the ability to make frames in a batch easily, and the ability to plot tracers that just follow the liquid. Prerequisites: CUDA (and hardware), libgd, (optionally) PLPlot If you have any questions/comments/bug reports/complaints, please send email to: raymondj@caltech.edu ExamplesI've uploaded some YouTube videos to illustrate; high-bandwidth connection recommended! Please ask if you would like to see originals (1024x1024 @ 30fps!); arrangements can be made. All pictures with axis labels were created with PLPlot; those without were created with the included graph_data utility.
Twin vortexes in a co-moving frame plus a time-variant strain flow, as described in Rom-Kedar et al.. Gamma=1.0, Epsilon=0.1 |
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