15.4 A 5.99-to-691.1TOPS/W Tensor-Train In-Memory-Computing Processor Using Bit-Level-Sparsity-Based Optimization and Variable-Precision Quantization.
Ruiqi GuoZhiheng YueXin SiTe HuHao LiLimei TangYabing WangLeibo LiuMeng-Fan ChangQiang LiShaojun WeiShouyi YinPublished in: ISSCC (2021)
Keyphrases
- variable precision
- random access memory
- decision table
- uniform quantization
- reduction method
- rough sets
- knowledge structures
- processor core
- tensor factorization
- high dimensional
- dominance relation
- decision rules
- neural network
- high dimensional data
- data structure
- decision trees
- knowledge base
- feature selection
- search engine