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I was wondering if there can be any graphic card in a unix server (basically cluster). I am interested in using GPU power for quick statistical computation using R. I tried to intall "rpud", it said "cannot find nvcc, check CUDA install"
Wikipedia's CUDA article has some good general information and sample code in C and Python.
You need a compatible GPU and you need to install the tools from NVIDIA.
These tools are called CUDA Development tools. nvcc is a C compiler for the GPU.
So, it can not find your CUDA Toolkit, perhaps because you did not yet install it or there are some file path settings that are incorrect.
NVIDIA CUDA Getting Started For Linux
NVIDIA CUDA Getting Started for Windows
There are server-grade GPU cards.
Help picking a card:
What are the differences between CUDA compute capabilities?
Exercise caution when using older cards due to accuracy issues:
Accuracy of GPU for scientific computing
There are R packages for this. Notably, gpu-tools.
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Closed 8 days ago.
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I ran software updater last night, and it indicated that it completed normally and asked me to reboot. I assume that is was updating the kernel from 5.15.0-58-generic to 5.15.0-60-generic. On reboot, I received a bunch of messages ending with "kernel panic: No working init found." Using the advanced boot options, I found that .58 version was available. It indicated major disk problems and said to run fsck, which I did. I pressed "y" about a hundred times, and then .58 booted normally while .60 still produces a kernel panic. I then saved all my personal files. Right now, .58 seems to be running normally, and Software Updater runs with no problems.
I want to avoid reloading the OS, as I have custom WiFi and printer software that requires extra effort, as well as Virtual Box. And yes, the have been running happily through many updates. What are my options?
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How can I install Oracle databases on macos natively without using a VM?!
tried every possible way, read almost all the documentations on their website but unfortunately i couldn't get any solution.
No, not today. You can easily get up and running with a VirtualBox appliance, we even make one for you to download and import.
VirtualBox recently put out an update that supports M1/M2 chip architectures, so that's nice.
Otherwise you could spin up an Always Free Oracle Autonomous Database Cloud Instance. That takes about 5 minutes, and then you could use that as your dev instance.
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Closed 5 years ago.
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Few days ago, I installed c++ mingw compiler and removed it yesterday.
Even before using mingw compiler to dabble with eclipse ide, I had R Studio installed with the default CRAN version of R. After deleting mingw folder from my computer, I see this kind of wierd mingw name in the default text shown by the console window in R Studio.
Kind of annoying to me!! I dont want to deal with mingw and want that name to disappear completely...
This is not affecting the overall functionality...Not sure if it will affect int he future..... but wondering why the "mingw" text is showing up in the "Platform" information....
Is there a way to restore normalcy ?annoying mingw
Good news... you've already achieved normalcy!
R.version$platform
# [1] "x86_64-w64-mingw32"
What you are seeing is the canonical name of the platform under which R was compiled according to the help entry... ?.Platform
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Closed 6 years ago.
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I am currently developing a solution in R and I need to know the system requirements for R on a windows machine for documentation purposes.
It's a question beyond "would R run in my machine", since I need to know the exact specifics. I know for a fact that it already runs without any problem, but I need to document this requirements for the Administrator in the IT team.
Thank you so much for your collaboration!
From An Introduction to R (https://cran.r-project.org/doc/manuals/r-release/R-intro.html)
--max-mem-size=N
(Windows only) Specify a limit for the amount of memory to be used both for R objects and working areas. This is set by default to the smaller of the amount of physical RAM in the machine and for 32-bit R, 1.5Gb26, and must be between 32Mb and the maximum allowed on that version of Windows.
Note, this is specific to Windows machines. I haven't seen anything regarding other operating systems. I've never seen anything about processors or other hardware either.
as far as I can tell, if you have a computer with a processor and at least 32 Mb or RAM, it will run R (no guarantees on how well).
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Closed 10 years ago.
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I learnt from the web that Revolution R allows multi-threading and optimize running of my R-scripts.
My question is: after installation of Revolution R, if I run my R-script under Revolution R environment, will it automatically optimize running of my R-script? Or I need to modify my R-script in order to allow Revolution R to optimize running of my R-script?
Thanks a lot.
I think your terminology may need some refinement. You may need to distinguish multi-processing from multi-threading. Revolution R does link to a multithreaded BLAS library for Windows that might otherwise not be available unless you compiled your version. Whether or not that will improve your performance is apparently somewhat dependent on what functions you use.
To use multi-processing in R, you will need set up your machine resources appropriately and then use code that distributes the parallizable tasks. Those seem to be the applications you are thinking about when you ask about modifying your scripts. Revo-R used to have advantages here over regular R, but for the last couple of versions, the 'parallel' package has been available to all useRs.
Revo R has multithreaded BLAS, this does not require a change in your scripts.
And GNU R, or Standard R, can of course also use multithreaded BLAS as detailed in Appendix A.3.1 of the R Installation and Administration manual.