hui xie <[EMAIL PROTECTED]> writes: > The reason why I would like to use ATLAS is that R FAQ said : > > "The savings can be appreciable: on a 2.6GHz P4 and a 1000 x 1000 matrix svd > took 16.2 sec with the standard BLAS and 7.8 sec with ATLAS. Because ATLAS > is tuned to a particular chip we can't use it generally: the optimal routines > for a P4 or an Athlon XP are quite different and neither will run at all on a > PII." > > This seems to me an impressive gain to use the correct ATLAS instead of the > default BLAS.
I've been doing econometrics for nearly 20 years, and have not yet run across a situation that called for looking at a 1000 x 1000 matrix. I tend not to believe analyses with more than a dozen explanatory variables. But I suppose that you could run across a situation where a design matrix with hundreds of columns actually made sense. But does that really happen often enough that saving 8 seconds of computation time is worth going through the ATLAS hassle? -- Jeff ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
