Liaw, Andy wrote: > From: Kjetil Brinchmann Halvorsen > >>Prof Brian Ripley wrote: >> >>>Quite a while back we set the goal of running R in 16Mb >> >>RAM, as people (I >> >>>think Kjetil) had teaching labs that small. >> >>It's a while since I actually har R used on such small >>machines, I think >>64 MB is quite acceptable now. >> >>Kjetil >> >> >>>Since then R has grown, and we has recently started to >> >>optimize R for >> >>>speed rather than size. I recently tested R-devel on my >> >>ancient Win98 >> >>>notebook with 64Mb RAM -- it ran but startup was rather >> >>slow on what I >> >>>think is a 233MHz processor and very slow disc. >>> >>>R still runs in 16Mb, but that is getting tight. Does >> >>anyone have any >> >>>need to run on a smaller machine than my 64Mb notebook? > > > I sure don't, but I wouldn't be surprised if one of these days someone > figures out how to get R to run on a video card... (I recall that there was > a tutorial session at some datamining conference last year that showed > people how to use the GPU for numerical computation, so this may not be too > far fetched.)
If you want to run R on a videocard because of its enormous floating point speed, you have access to quite a lot of RAM (fast cards already have huge amounts of RAM). Well, my 20 EUR card has 32Mb only, but you certainly don't want to perform calculations on it... ;-) Are there already PCIe cards that support fast writing to the main memory (not only fast reading)? Uwe > > Andy > > ______________________________________________ > R-devel@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-devel ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
