Prof Brian Ripley <[EMAIL PROTECTED]> writes: > > ATLAS, you need to build shared ATLAS libraries (rather than > > static). This requires some modifications to the configuation files > > for ATLAS. But my experience shows that R itself builds out of the > > box on these systems. > > However, you will almost certainly get better performance out of the > Goto BLAS implementations, and they are shared (and easy to use, much > more so than ATLAS).
I actually have different experience in the multithreaded case, at least with my favourite "benchmark suite": inversion of a large matrix. I'd do some timings, but I have this ATLAS compile running just now... -- O__ ---- Peter Dalgaard Blegdamsvej 3 c/ /'_ --- Dept. of Biostatistics 2200 Cph. N (*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918 ~~~~~~~~~~ - ([EMAIL PROTECTED]) FAX: (+45) 35327907 ______________________________________________ [EMAIL PROTECTED] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
