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Are you talking about compiling R from source, including all dependencies and high-performance BLAS, LAPACK, FFT, ARPACK, etc. libraries? If not, you are compar
by idunning 12y ago
Are you talking about compiling R from source, including all dependencies and high-performance BLAS, LAPACK, FFT, ARPACK, etc. libraries? If not, you are comparing apples to oranges.
- IndianAstronaut 12y agoYes. You can get multiple versions easily on the same machine and run them from that location. It's also easy to point rstudio to that instance. All the libraries install in the same location as well.
- StefanKarpinski 12y agoR ships with the reference BLAS which is 4x slower than OpenBLAS even on modestly sized problems. If you value portability over performance, I guess that's an ok choice, but we want to make sure that Julia ships with the best open source BLAS available. If that means putting up with the occasional broken builds on Travis, I think it's worth it. OpenBLAS is just one example – R seems to have consistently chosen portability over performance for their libraries. That's a viable choice, but it's not the one we've made.