With the rapid advancements of deep learning in recent years, hardware
a...
Memory-aware network scheduling is becoming increasingly important for d...
Efficient networks, e.g., MobileNetV2, EfficientNet, etc, achieves
state...
Accurate early congestion prediction can prevent unpleasant surprises at...
While the performance of deep convolutional neural networks for image
su...
Secure multi-party computation (MPC) enables computation directly on
enc...
The electronic design automation (EDA) community has been actively explo...
The state-of-the-art deep learning algorithms rely on distributed traini...
In this paper, we propose a machine-learning assisted modeling framework...
Stochastic computing (SC) presents high error tolerance and low hardware...