Architectural considerations for FPGA acceleration of machine learning applications in MapReduce.
Katayoun NeshatpourHosein Mohammadi MakraniAvesta SasanHassan GhasemzadehSetareh RafatiradHouman HomayounPublished in: SAMOS (2018)
Keyphrases
- machine learning
- active learning
- field programmable gate array
- low cost
- computational intelligence
- inductive learning
- machine learning methods
- high speed
- data analysis
- machine learning algorithms
- text classification
- learning tasks
- high level
- computer vision
- artificial intelligence
- learning algorithm
- real time image processing
- cloud computing
- high performance data mining
- software architecture
- hardware implementation
- parallel computing
- real time
- model selection
- knowledge acquisition
- signal processing
- knowledge discovery
- pattern recognition
- real world
- information extraction
- parallel algorithm
- computer science
- learning problems
- natural language
- reinforcement learning
- explanation based learning
- decision trees
- distributed processing
- data mining