Project declaration For SciMLBenchmarks GPU support

[divital-coder]

• Div

• CV : https://drive.google.com/file/d/1VrromV8PfO3DK4ZuPyJTvwc-PFK25o-0/view?usp=sharing

• I am currently a final-year undergrad in AI & ML systems at ADGITM, Delhi.

• Previously completed the feature for lazy operator package SciMLOperators.jl to allow for different defining and action vectors. Did 2 GSOCs with Julia packages in JuliaHealth for visualization and statistics.
  Pertaining to the ScimlBenchmarks GPU support within the package, I have relevant working knowledge of GPU acceleration and programming through university courses and independent exploration with scripts involving multi-dimensional voxel data and performing native Julia operations over them. Further, under my contributions to the MedEye3d.jl, (GPU accelerated medical imaging visualizer) I implemented multiple dispatch for invoking reactive programming elements based on the input arguments and handled GPU acceleration via OpenGL shaders.

• Caveat : I unfortunately was unable to complete the DataInterpolations.jl grant, since after the extended project declaration, I had to deal with some health scares (Got hospitalized) and took a bit of time to catch up to stuff. So, getting back to the grind again :)

• Commitment: I am committed to the fullest for any opportunities from further on.

[ChrisRackauckas]

This is all work in devops scripts, have you done this kind of work before? I expect this one to be a bit non-trivial.

[divital-coder]

Yes, I launched various testing routines within Compute capsules for our Medimages.jl package publication in a research paper.

[ChrisRackauckas]

So you're aware this is non-Julia scripts stuff and all bash scripts and yml files?

[divital-coder]

Yaml, yml, toml, json, xml
Bash
Fish, zsh

Whatever it is, I would love to dig in!