Microwatt power hardware implementation of machine learning algorithms on MSP430 microcontrollers.
Simon HellerPeter WoiasPublished in: ICECS (2019)
Keyphrases
- machine learning algorithms
- hardware implementation
- benchmark data sets
- machine learning
- learning algorithm
- decision trees
- efficient implementation
- signal processing
- predictive accuracy
- software implementation
- hardware design
- machine learning models
- random forests
- learning problems
- hardware architecture
- machine learning methods
- image processing algorithms
- fpga implementation
- field programmable gate array
- hardware and software
- input features
- power consumption
- learning models
- learning tasks
- pipeline architecture
- image binarization
- standard machine learning algorithms
- machine learning systems
- memory management
- machine learning approaches
- statistical machine learning
- dedicated hardware
- fpga device
- parallel architecture
- data mining