Dears, I am selecting configure-options for Data Mining applications with R, notes that guide a user from SVN repository to system compilation on GNU/Linux system ("gcc" as compiler).
Status: * My system specs: - processor Intel 2.8Ghz HT - kernel Linux 2.6.10-5-686-smp - ram 1500 Mbyte * Dataset to use: - ~900 Mbyte of text file * R from svn repository (daily updated) * Installed libs: atlas3 lapack3 * Configure options now: ./configure --prefix=/usr --with-blas --with-lapack --enable-linux-lfs --with-zlib --with-bzlib --with-pcre --with-gnu-ld Questions: 1. after configure execution, I read that my compilation will be with lapack generic. Could I have a better option for that? 2. any good option to add/remove from configure arguments? 3. could I gain better result re-compiling the installed libs or kernel? If true, benchmarks justify the time spent? 4. ways for benchmarking builds? Thanks for your gentle answers. Cheers -- DM ______________________________________________ Remail@example.com mailing list https://stat.ethz.ch/mailman/listinfo/r-devel