_    _             ____       _ _                      
    / \  | | _____  __ / ___|  ___| (_)_ __ ___   _____   __
   / _ \ | |/ _ \ \/ / \___ \ / _ \ | | '_ ` _ \ / _ \ \ / /
  / ___ \| |  __/>  <   ___) |  __/ | | | | | | | (_) \ V /
 /_/   \_\_|\___/_/\_\ |____/ \___|_|_|_| |_| |_|\___/ \_/

I am a materials scientist and software developer proficient in Rust, Fortran, C++, Java, and Python. I have extensive experience with Unix operating systems on both high performance computing resources and on my personal computer (check out Void Linux). I currently work at UKG as a Java Backend Engineer.

Checkout recent posts below or posts organized by topic here

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Misc thoughts on AI

AI has become a very useful tool for me

If you know me personally, you know that I’ve been pretty slow on the LLM/GenAI uptake. At this point, however, if you are a software developer that isn’t integrating GenAI tools into your workflow I think you are probably going to be left behind. I’ve been playing around with these tools a lot more lately, and I’ve come to a few conclusions.

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The folly of Debian major version upgrades

I recently realized that my web server was still on Debian Buster, 2 whole major versions behind the latest Debian version. Normally this kind of thing wouldn’t matter to me except that my matrix-synapse server was unable to federate with matrix synapse servers running newer versions. I normally run rolling release distributions on my local machines (I use Void btw) and it had been a long time since I tried this kind of upgrade. I went in hopeful that it would be straightforward.

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Getting CUDA toolkit installed on Void Linux

This is a short post (mainly for myself) to remember how I got CUDA installed on Void Linux. These steps are as follows:

  1. Download the installation files: Go to the CUDA toolkit installation website. Select Linux->x86_64->Debian->11->runfile (local)
  2. Set executable permission: chmod +x ./cuda_version.run
  3. Install using the correct flags:
    sudo ./cuda_11.8.0_520.61.05_linux.run --silent --override --toolkit --no-opengl-libs --tmpdir=/home/aselimov/down/tmp
  4. Add to path: Build should now be installed at /usr/local/cuda-version. Add the following to your bashrc or zshrc:
    export PATH="$PATH:/usr/local/cuda-version/bin"
export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/local/cuda-version/lib64"

The reason I had to add the --tmpdir command was because I was getting an error message about the default tmp directory not having enough space. Hopefully this helps someone else out!

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