4.6 A1.93TOPS/W scalable deep learning/inference processor with tetra-parallel MIMD architecture for big-data applications.
Seongwook ParkKyeongryeol BongDongjoo ShinJinmook LeeSungpill ChoiHoi-Jun YooPublished in: ISSCC (2015)
Keyphrases
- big data
- deep learning
- parallel architecture
- distributed memory
- shared memory
- commodity hardware
- parallel processing
- data intensive computing
- data processing
- unsupervised learning
- machine learning
- cloud computing
- parallel algorithm
- data analysis
- data management
- unsupervised feature learning
- parallel computing
- parallel implementation
- big data analytics
- mental models
- parallel architectures
- bayesian networks
- business intelligence
- map reduce
- weakly supervised
- social media
- massively parallel
- message passing
- case study
- knowledge discovery
- management system
- load balancing
- active learning