O_H_E

  - Assessing different parallelization or threading strategies
  - Increasing testing coverage to help with maintainability and robustness
  - Cleaning up prototype code to prepare for production or publishing as a package
  - Contribute to open source dependencies

  - Investigating long compilation or start-up times
  - Profiling and identifying performance bottlenecks
  - Low-level performance optimization for your simulation code
  - Assessing different parallelization or threading strategies
  - Increasing testing coverage to help with maintainability and robustness
  - Cleaning up prototype code to prepare for production or publishing as a package
  - Contribute to a dependency upstream to ease a pain point in your use case

  - Investigating long compilation or start-up times
  - Profiling and identifying performance bottlenecks
  - Low-level performance optimization for your simulation code
  - Assessing different parallelization or threading strategies
  - Increasing testing coverage to help with maintainability and robustness
  - Cleaning up prototype code to prepare for production or publishing as a package
  - Contribute to a dependency upstream to ease a pain point in your use case

  - Rewriting or redesigning from R/MATLAB to Julia/Python/Rust.
  - Having performance problems with your Python, Rust, MATLAB, or C code.
  - Want to investigate if leveraging GPU compute (CUDA) could be useful for your computations.