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4.6 A1.93TOPS/W scalable deep learning/inference processor with tetra-parallel MIMD architecture for big-data applications.
Seongwook Park
Kyeongryeol Bong
Dongjoo Shin
Jinmook Lee
Sungpill Choi
Hoi-Jun Yoo
Published in:
ISSCC (2015)
Keyphrases
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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