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Organization

The University of Texas
Presenters
Aman Arora
Benjamin Carrion Schaefer
Ray T. Chen
Chenghao Feng
Jiaqi Gu
Yang Hu
Sahidul Islam
Sumit Jha
Zixuan Jiang
Yufang Jin
Lizy John
Jaydeep Kulkarni
Mingjie Liu
Yiorgos Makris
David Z. Pan
Zachary Susskind
Shiva Shankar Thiagarajan
Zhangyang Wang
Zhendong Wang
Mimi Xie
xiaoming zeng
Shuhan Zhang
Dian Zhou
Hanqing Zhu
Session Chairs
Shuhan Zhang
Presentations
Workshop
7th Workshop on Approximate Computing
Design
Research Manuscript
A Defect Tolerance Framework for Improving Yield
EDA
Manufacturing Test and Reliability
Research Manuscript
A Timing Engine Inspired Graph Neural Network Model for Pre-Routing Slack Prediction
EDA
Timing and Low Power Design
Research Manuscript
ADEPT: Automatic Differentiable DEsign of Photonic Tensor Cores
Design
AI/ML Design: Circuits and Architecture
Networking Reception
Work-in-Progress Poster
Agile: A Collaborative Air-ground IoT Edge Framework for Sustainable Remote Monitoring
Research Manuscript
An Efficient Yield Optimization Method for Analog Circuits via Gaussian Process Classification and Varying-Sigma Sampling
AI
EDA
Analog Design, Simulation, Verification and Test
Research Panel
Cryogenic Computing, Super Cool or Not?
Design
Networking Reception
Work-in-Progress Poster
EA-Prune: Environment Adaptive Neural Network Pruning for Low-power Energy Harvesting Devices
Research Manuscript
Enabling Efficient Deep Convolutional NeuralNetwork-based Sensor Fusion for AutonomousDriving
Autonomous Systems
Autonomous Systems (Automotive, Robotics, Drones)
Networking Reception
Work-in-Progress Poster
FLOW-3D: Flow-Based Computing on 3D Nanoscale Crossbars with Minimal Semiperimeter
Late Breaking Results Poster
Networking Reception
FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization
Networking Reception
Work-in-Progress Poster
LogicWiSARD: Memoryless Synthesis of Weightless Neural Networks
Research Manuscript
PATH: Evaluation of Boolean Logic using Path-based In-Memory Computing
Design
Emerging Models of Computation
Research Manuscript
QOC: Quantum On-Chip Training with Parameter Shift and Gradient Pruning
AI
ML Algorithms and Applications
Research Manuscript
QuantumNAT: Quantum Noise-Aware Training with Noise Injection, Quantization and Normalization
Design
Quantum Computing
Research Manuscript
Towards Resilient Analog In-Memory Deep Learning via Data Layout Re-Organization
EDA
Manufacturing Test and Reliability
Sessions
Research Manuscript
Hyperdimensional Computing for Machine Learning
AI
AI/ML Security/Privacy
ML Algorithms and Applications