CuPy coverage of NumPy functions
- Mentors
- Kenichi Maehashi
- Organization
- NumFOCUS
Implementing the polynomial set of NumPy functions that are not yet supported in CuPy with a better performance and speedup. These functions are NumPy-compatible to allow drop-in replacement but with GPUs' parallel computing advantages.