How to install R on a linux cluster.
The multicore package was released in January 2009, we did the review in end of 2008 )-: Multicore has a great performance. I hope to present some results at the UseR2009 conference. At the moment I use the super-computer HLRBII at the LRZ in Munich, Germany (>9000 processors). There I have a 510 core multi-processor machine. Unfortunately we have some strange OS-load-balancing problems with the combination of R, PBS and Intel Compiler and more than 50 processors. Attached some first results with 60 nodes. Up to 50 nodes snow and multicore have the identical performance. If you have problems which require a lot of memory and they can share the memory, than multicore has the better performance (snow than requires a lot of communication). Best Markus Damiano G. Preatoni schrieb:
In un messaggio del Tuesday 21 April 2009, Dirk Eddelbuettel ha scritto:
On 21 April 2009 at 10:25, Dirk Eddelbuettel wrote:
| and you have R with MPI and the snow wrapper package. Not a bad place to
| start as per the Schmidberger er al paper surveying parallel computing
| with Linux.
That was meant to say: "... surveying parallel computing with R." --
sorry.
Great review. No mention of multicore, though. I'm starting setting up an 8-core from Oracle (ops, I meant Sun), and I was wondering if there was really any advantage in multicore vs. snow/snowfall. Any hints are welcome, will digest back to list. ------------------------------------------------------------------------
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Dipl.-Tech. Math. Markus Schmidberger Ludwig-Maximilians-Universit?t M?nchen IBE - Institut f?r medizinische Informationsverarbeitung, Biometrie und Epidemiologie Marchioninistr. 15, D-81377 Muenchen URL: http://www.ibe.med.uni-muenchen.de Mail: Markus.Schmidberger [at] ibe.med.uni-muenchen.de Tel: +49 (089) 7095 - 4497 -------------- next part -------------- A non-text attachment was scrubbed... Name: hlrb.pdf Type: application/pdf Size: 9779 bytes Desc: not available URL: <https://stat.ethz.ch/pipermail/r-sig-hpc/attachments/20090422/4f19783f/attachment.pdf>