QR-PULP: Streamlining QR Decomposition for RISC-V Parallel Ultra-Low-Power Platforms.
Amirhossein KiamarziDavide RossiGiuseppe TagliaviniPublished in: CF (2024)
Keyphrases
- qr decomposition
- decomposition method
- dimension reduction
- linear discriminant analysis
- singular value decomposition
- ultra low power
- matrix inversion
- low power
- application specific
- discriminative information
- unsupervised learning
- discriminant analysis
- parallel processing
- parallel computing
- high dimensional
- feature space
- feature selection
- shared memory
- computer vision
- machine learning
- data sets