A Digital Bit-Reconfigurable Versatile Compute-In-Memory Macro for Machine Learning Acceleration.
Xin ZhangYuncheng LuBo WangTony Tae-Hyoung KimPublished in: IEEE Trans. Circuits Syst. II Express Briefs (2023)
Keyphrases
- machine learning
- analog to digital converter
- random access memory
- low cost
- natural language processing
- learning algorithm
- feature selection
- knowledge acquisition
- artificial intelligence
- pattern recognition
- memory size
- machine learning approaches
- data mining
- hash table
- memory space
- inductive learning
- machine learning methods
- machine learning algorithms
- support vector machine
- knowledge representation
- computer vision
- high speed
- computational intelligence
- information extraction
- memory usage
- virtual memory
- decision trees
- reconfigurable architecture
- text classification
- memory requirements
- text mining
- past experience
- knowledge discovery