Hi, I'll have to code multilinear interpolation in n dimensions, n~7. My data space is quite large, ~10**9 points. The values are given on a rectangular (but not square) grid. The values are numbers in a range of approx. [0.0, 100.0].
The challenge is to do this efficiently, and it would be great if the whole thing would be able to run fast on a machine with only 8G (or better 4G) RAM. A common task will be to interpolate 10**6 points, which souldn't take too long. Any ideas on how to do this efficiently are welcome: * which dtype to use? * is using pytables/blosc an option? How can this be integrated in the interpolation? * you name it ... ;) Cheers, Andreas. ------------------------------------------------------------------------------ Learn Graph Databases - Download FREE O'Reilly Book "Graph Databases" is the definitive new guide to graph databases and their applications. This 200-page book is written by three acclaimed leaders in the field. The early access version is available now. Download your free book today! http://p.sf.net/sfu/neotech_d2d_may _______________________________________________ Pytables-users mailing list Pytables-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/pytables-users
