Session 15 Overview: Compute-in-Memory Processors for Deep Neural Networks Machine Learning Subcommittee.
Jun DeguchiYongpan LiuYan LiPublished in: ISSCC (2021)
Keyphrases
- machine learning
- neural network
- pattern recognition
- auto associative
- neural network model
- artificial neural networks
- deep learning
- fuzzy logic
- memory subsystem
- parallel processing
- artificial intelligence
- computational intelligence
- machine learning methods
- learning tasks
- memory requirements
- computer vision
- learning algorithm
- explanation based learning
- text mining
- machine learning algorithms
- back propagation
- training process
- memory usage
- random access
- multithreading
- parallel algorithm
- data mining
- natural language processing
- supervised learning
- information extraction
- decision trees
- data structure
- learning systems
- high performance computing
- multiprocessor systems
- memory hierarchy
- feature selection
- memory access
- parallel processors
- external memory
- processing units
- computer science
- computing power
- data analysis
- support vector machine
- parallel computing
- computational power
- neural nets
- multilayer perceptron
- text classification
- main memory
- knowledge acquisition