metaboanalystR crashing on (Mac/Windows) laptop
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28 days ago

My system is lagging and hanging after a heavy computational task I have a huge amount of GPU but my system does not access it I want it accessible please help me make it possible. I want to use CPU and GPU to take the burden simultaneously. Thanks,

Metabolomics metaboanalystR R-Studio • 333 views
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This post does not fit the theme of this forum.

Neither specific enough nor related to bioinformatics.

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I respect the decision of moderator sir. But I want to say something more. I am using metaboanalystR tool for metabolomics data analysis but the Rstudio is cruising with a command performROIExtraction command at data preprocessing my system is running for 1 hour but then then it is crushing I don't know the reason. Can anyone tell me why it is happening? now I think my question is relevant, please let me know.

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Yeah, it's more relevant now after adding some information. But still not sufficient. Please edit your question text and title to reflect this information. So it's about "metaboanalystR crashing on Mac/Windows laptop" not about CPU or GPU use. Also, you need to provide all the details and code you are running. We don't know what operating system you are on either. So please edit your question and provide the additional information required.

My system is lagging and hanging after a heavy computational task

This sounds like you are running the analysis on a laptop and the machine is overheating as a result... If this is a Mac look for kernel_task in the Activity monitor. Try to use a different server or desktop computer. A notebook is not really made for heavy lifting, if you use it for that anyway, make sure to have good air ventilation all around the notebook or place it on a cooling stand with extra fans.

Unfortunately, there is no plugin solution that allows you to simply add GPU resources like additional CPU cores.
GPU will not help unless the software libraries are specifically written to support it. R has a few libraries that support GPUs: See https://cran.r-project.org/web/views/HighPerformanceComputing.html, section Parallel computing: GPUs. Or here: https://www.r-tutor.com/gpu-computing I didn't find any mention of GPU on the website of the package you are using.

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