Help for R parallelization
Dear Sir/Madam, I am a Brazilian researcher working in S?o Paulo ? Brazil. I?ve being using R-software for many years with my students in some engineering applications, but up to now we've being using only in stand-alone mode in Windows and Mac platforms. Right now I have available a multi-core system and I would like to test some parallelism capabilities of R, mainly as an incentive to the use free software in my organization (www.ipt.br<http://www.ipt.br>). There is also a secondary goal to move from commercial statistical software through the demonstration of a new performance by using our multi-core system with R. Unfortunately, as a Mechanical engineer and a ?basic? R-user I couldn?t get the ?road map? I need from the available information , even after reading the attached paper. Therefore, I am making this contact to check whether I could get some help from R-community to set as many R packages in our multi-core system as possible. The remote access to our system would be easily arranged after a guided selection of the best strategy to reach our goals. I would appreciate to hear from you and I thank you in advance. Best Regards [http://www.ipt.br/banco_imagens/318_maior.jpg] Dr. Alvaro J Abackerli Chief Operations Officer - COO Fone: +55 (11) 3767-4411 www.ipt.br -------------- next part -------------- A non-text attachment was scrubbed... Name: Schmidberger2009-State_of_the_art_in_PC_with-R.pdf Type: application/pdf Size: 564258 bytes Desc: Schmidberger2009-State_of_the_art_in_PC_with-R.pdf URL: <https://stat.ethz.ch/pipermail/r-help/attachments/20111217/524a33c9/attachment.pdf>