> On 26 Feb 2015, at 06:26 , Dan Murphy <chiefmur...@gmail.com> wrote: > > Quick responses as usual. Can always count on R-Help! Bert's point > that "it depends" is key, of course. Mark and Karim reminded me that R > does not use all cores natively. Putting those together, an expensive > quad core machine is not necessary for simple package development, > documentation, etc. And for hard core (no pun intended) analysis, a > multi-core machine won't be fully utilized without parallel > implementation of some type. Thanks all for your advice. Just what I > was looking for. > Dan >
Notice though, that parallel features _can_ be exploited fairly easily on the multi-CPU Macs (it depends somewhat on whether you need fine-grained parallelism as in fast matrix operations or just "embarrassingly parallel" tasks like simulation studies - the former needs R to be linked against the Accelerate framework). Also notice that the real Mac experts live on the R-SIG-Mac list and not so much on R-help. -pd > On Wed, Feb 25, 2015 at 2:53 PM, Karim Mezhoud <kmezh...@gmail.com> wrote: >> Hi, >> It is not so efficient to have the most speed processor or biggest RAM. In >> general One processor is working at the time. >> It is more interesting to work with Linux for multiple multi_thread package >> and 64 bit. >> I am not sure if turbo boost is working with R. >> http://stackoverflow.com/questions/1395309/how-to-make-r-use-all-processors >> >> >> On Wed, Feb 25, 2015 at 9:12 PM, Mark Sharp <msh...@txbiomed.org> wrote: >>> >>> For what I do, which does not require a lot of parallel work, the high end >>> iMac was faster and much less expensive than the Mac Pro. >>> >>> Mark >>> R. Mark Sharp, Ph.D. >>> msh...@txbiomed.org >>> >>> >>> >>> >>> >>>> On Feb 25, 2015, at 1:50 PM, Dan Murphy <chiefmur...@gmail.com> wrote: >>>> >>>> I am possibly in the market for a new laptop. Predominantly a Windows >>>> user, I owned a macbook pro 10 years ago and am considering going that >>>> route again. Does the standard advice still hold: Get the most >>>> powerful processor (i7), most ram (16GB), and largest internal storage >>>> (512GB), if affordable? >>>> thanks, >>>> dan >>>> >>>> ______________________________________________ >>>> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >>>> https://stat.ethz.ch/mailman/listinfo/r-help >>>> PLEASE do read the posting guide >>>> http://www.R-project.org/posting-guide.html >>>> and provide commented, minimal, self-contained, reproducible code. >>> >>> >>> NOTICE: This E-Mail (including attachments) is confidential and may be >>> legally privileged. It is covered by the Electronic Communications Privacy >>> Act, 18 U.S.C.2510-2521. If you are not the intended recipient, you are >>> hereby notified that any retention, dissemination, distribution or copying >>> of this communication is strictly prohibited. Please reply to the sender >>> that you have received this message in error, then delete it. >>> >>> ______________________________________________ >>> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >>> https://stat.ethz.ch/mailman/listinfo/r-help >>> PLEASE do read the posting guide >>> http://www.R-project.org/posting-guide.html >>> and provide commented, minimal, self-contained, reproducible code. >> >> > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. -- Peter Dalgaard, Professor, Center for Statistics, Copenhagen Business School Solbjerg Plads 3, 2000 Frederiksberg, Denmark Phone: (+45)38153501 Email: pd....@cbs.dk Priv: pda...@gmail.com ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.