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 <msharp at 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. > msharp at TxBiomed.org > > > > > > > On Feb 25, 2015, at 1:50 PM, Dan Murphy <chiefmurphy at 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 at 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 at 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. >[[alternative HTML version deleted]]
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 On Wed, Feb 25, 2015 at 2:53 PM, Karim Mezhoud <kmezhoud at 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 <msharp at 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. >> msharp at TxBiomed.org >> >> >> >> >> >> > On Feb 25, 2015, at 1:50 PM, Dan Murphy <chiefmurphy at 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 at 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 at 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. > >
> On 26 Feb 2015, at 06:26 , Dan Murphy <chiefmurphy at 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 <kmezhoud at 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 <msharp at 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. >>> msharp at TxBiomed.org >>> >>> >>> >>> >>> >>>> On Feb 25, 2015, at 1:50 PM, Dan Murphy <chiefmurphy at 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 at 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 at 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 at 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.mes at cbs.dk Priv: PDalgd at gmail.com