Lessons learned from comparing C-CUDA and Python-Numba for GPU-Computing.
Lena OdenPublished in: PDP (2020)
Keyphrases
- lessons learned
- parallel implementation
- graphics hardware
- gpu implementation
- graphics processors
- case study
- parallel computing
- gpu accelerated
- future directions
- real time
- parallel computation
- open source
- general purpose
- programming language
- parallel programming
- grounded theory
- compute unified device architecture
- learning environment
- database
- shared memory
- design science
- genetic algorithm
- participatory design
- neural network