2 papers
cs.CV2018
Restructuring Batch Normalization to Accelerate CNN Training
Wonkyung Jung, Daejin Jung, and Byeongho Kim +3
Batch Normalization (BN) has become a core design block of modern Convolutional Neural Networks (CNNs). A typical modern CNN has a large number of BN layers in its lean and deep ar…
cs.DC2018
Partitioning Compute Units in CNN Acceleration for Statistical Memory Traffic Shaping
Daejin Jung, Sunjung Lee, Wonjong Rhee +1
The design complexity of CNNs has been steadily increasing to improve accuracy. To cope with the massive amount of computation needed for such complex CNNs, the latest solutions ut…