10 citations · 27 across the 7 of their papers we have counts for
7 papers
Real-Time Differential Epidemic Analysis and Prediction for COVID-19 Pandemic
Sheldon X. D. Tan, Liang Chen
In this paper, we propose a new real-time differential virus transmission model, which can give more accurate and robust short-term predictions of COVID-19 transmitted infectious d…
Run-Time Accuracy Reconfigurable Stochastic Computing for Dynamic Reliability and Power Management
Shuyuan Yu, Han Zhou, Shaoyi Peng +3
In this paper, we propose a novel accuracy-reconfigurable stochastic computing (ARSC) framework for dynamic reliability and power management. Different than the existing stochastic…
EM-GAN: Fast Stress Analysis for Multi-Segment Interconnect Using Generative Adversarial Networks
Wentian Jin, Sheriff Sadiqbatcha, Jinwei Zhang +1
In this paper, we propose a fast transient hydrostatic stress analysis for electromigration (EM) failure assessment for multi-segment interconnects using generative adversarial net…
GPU-based Ising Computing for Solving Balanced Min-Cut Graph Partitioning Problem
Chase Cook, Wentian Jin, Sheldon X. -D. Tan
Ising computing provides a new computing paradigm for many hard combinatorial optimization problems. Ising computing essentially tries to solve the quadratic unconstrained binary o…
GLU3.0: Fast GPU-based Parallel Sparse LU Factorization for Circuit Simulation
Shaoyi Peng, Sheldon X. -D. Tan
LU factorization for sparse matrices is the most important computing step for many engineering and scientific computing problems such as circuit simulation. But parallelizing LU fa…
GPU Based Parallel Ising Computing for Combinatorial Optimization Problems in VLSI Physical Design
Chase Cook, Hengyang Zhao, Takashi Sato +2
In VLSI physical design, many algorithms require the solution of difficult combinatorial optimization problems such as max/min-cut, max-flow problems etc. Due to the vast number of…
DEEPEYE: A Compact and Accurate Video Comprehension at Terminal Devices Compressed with Quantization and Tensorization
Yuan Cheng, Guangya Li, Hai-Bao Chen +2
As it requires a huge number of parameters when exposed to high dimensional inputs in video detection and classification, there is a grand challenge to develop a compact yet accura…