An Energy-Efficient and Scalable Deep Learning/Inference Processor With Tetra-Parallel MIMD Architecture for Big Data Applications.
Seongwook ParkJunyoung ParkKyeongryeol BongDongjoo ShinJinmook LeeSungpill ChoiHoi-Jun YooPublished in: IEEE Trans. Biomed. Circuits Syst. (2015)
Keyphrases
- big data
- deep learning
- parallel architecture
- distributed memory
- commodity hardware
- shared memory
- parallel processing
- data intensive computing
- cloud computing
- big data analytics
- unsupervised learning
- parallel algorithm
- data analysis
- parallel computing
- business intelligence
- machine learning
- parallel architectures
- social media
- parallel implementation
- message passing
- data management
- data processing
- management system
- weakly supervised
- knowledge discovery
- clock frequency
- load balancing
- information processing
- data warehousing
- mental models
- map reduce
- data mining