research
∙
08/30/2023
READ: Reliability-Enhanced Accelerator Dataflow Optimization using Critical Input Pattern Reduction
With the rapid advancements of deep learning in recent years, hardware a...
share
research
∙
08/26/2023
Memory-aware Scheduling for Complex Wired Networks with Iterative Graph Optimization
Memory-aware network scheduling is becoming increasingly important for d...
research
∙
08/25/2023
Falcon: Accelerating Homomorphically Encrypted Convolutions for Efficient Private Mobile Network Inference
Efficient networks, e.g., MobileNetV2, EfficientNet, etc, achieves state...
research
∙
05/07/2023
HybridNet: Dual-Branch Fusion of Geometrical and Topological Views for VLSI Congestion Prediction
Accurate early congestion prediction can prevent unpleasant surprises at...
research
∙
03/22/2023
EBSR: Enhanced Binary Neural Network for Image Super-Resolution
While the performance of deep convolutional neural networks for image su...
research
∙
11/25/2022
MPCViT: Searching for MPC-friendly Vision Transformer with Heterogeneous Attention
Secure multi-party computation (MPC) enables computation directly on enc...
research
∙
08/01/2022
CircuitNet: An Open-Source Dataset for Machine Learning Applications in Electronic Design Automation (EDA)
The electronic design automation (EDA) community has been actively explo...
research
∙
05/31/2020
DaSGD: Squeezing SGD Parallelization Performance in Distributed Training Using Delayed Averaging
The state-of-the-art deep learning algorithms rely on distributed traini...
research
∙
04/23/2019
New-Generation Design-Technology Co-Optimization (DTCO): Machine-Learning Assisted Modeling Framework
In this paper, we propose a machine-learning assisted modeling framework...
research
∙
04/21/2019
