Comparative Study of CUDA GPU Implementations in Python With the Fast Iterative Shrinkage-Thresholding Algorithm for LASSO.
Younsang ChoJaeoh KimDonghyeon YuPublished in: IEEE Access (2022)
Keyphrases
- comparative study
- thresholding algorithm
- graphics processors
- gpu implementation
- parallel implementation
- gpu accelerated
- graphics hardware
- parallel computing
- programming language
- compute unified device architecture
- open source
- parallel computation
- graphics processing units
- feature selection
- cpu implementation
- image denoising
- selection operator
- variable selection
- parallel algorithm
- denoising
- general purpose
- parallel programming
- open source software
- real time
- high level
- least squares
- sparse representation
- feature tracking
- development tools
- cross validation
- efficient implementation
- graphical user interface
- parallel processing
- model selection
- regularization parameter
- multi task
- software engineering
- object oriented
- programming tool
- linear regression