Hi, I think the work of the authors is not to be discourage, since is good that benchmarks are performed (correct ones, of course). If there is as strong opinion about the contents of the papers the community representatives should write the authors to make things clear. Their e-mails can be found on the article itself. I have already send a heads up to the first author.
Regards, JPi On Sat, Sep 4, 2010 at 5:39 PM, Laurent Hoeltgen <hoeltg...@gmail.com> wrote: > Hi, > > Am Samstag, den 04.09.2010, 16:08 +0200 schrieb Thomas Weber: >> On Sat, Sep 04, 2010 at 01:43:44PM +0200, Martin Helm wrote: >> > Am Samstag, 4. September 2010, 13:22:36 schrieb Jaroslav Hajek: >> > >> > > Hmm, the Octave-related information is sadly outdated :( Probably >> > > still based on Octave 3.0.x. I believe 3.2.x would also perform better >> > > in the benchmarks. >> > > >> > In addition I have some severe doubts about the reliability of the tests, I >> > look through the table and found for a 2000x2000 matrix multiply >> > octave 18.664 >> > R 0.070 >> >> It's not just Octave, R beats every other product by a factor of at >> least 100. >> >> > Comparing the performance of a matrix multiply in R and octave does not >> > give >> > me any hint that R outperforms (even the old 3.0 version of octave) by a >> > factor 266 (?!?) but gives comparable speed. >> > Looks like the testers did not recognize that a*b is not the same in octave >> > and R but that in R one has to write %*% for matrix multiplication and they >> > compare component wise multiplication in R with full matrix multiplication >> > in >> > octave. >> > Not very promising from my point of view. >> >> I have the same feeling. LU decomposition is faster by a factor of at >> least 500(!) in R than in any other product. >> >> Sorry, I don't believe this. >> >> Thomas >> > > Furthermore, they state that there's no online documentation for octave. > Simply googling for "octave documentation" returns the octave manual and > the octave forge documentation as the first two search results. > > Laurent > > > ------------------------------------------------------------------------------ > This SF.net Dev2Dev email is sponsored by: > > Show off your parallel programming skills. > Enter the Intel(R) Threading Challenge 2010. > http://p.sf.net/sfu/intel-thread-sfd > _______________________________________________ > Octave-dev mailing list > Octave-dev@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/octave-dev > -- M. Sc. Juan Pablo Carbajal ----- PhD Student University of Zürich www.ailab.ch/carbajal ------------------------------------------------------------------------------ This SF.net Dev2Dev email is sponsored by: Show off your parallel programming skills. Enter the Intel(R) Threading Challenge 2010. http://p.sf.net/sfu/intel-thread-sfd _______________________________________________ Octave-dev mailing list Octave-dev@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/octave-dev
