32 citations · 37 across the 7 of their papers we have counts for
7 papers
Evaluating Numerical Accuracy in Mixed-Precision Computing by Dual-Delta Testing
Peichen Xie
Mixed-precision computing has become increasingly important in modern high-performance computing and machine learning applications. When implementing custom mixed-precision functio…
Bit-Accurate Modeling of GPU Matrix Multiply-Accumulate Units: Demystifying Numerical Discrepancy and Accuracy
Peichen Xie, Shuotao Xu, Yang Wang +2
Modern AI accelerators rely on matrix multiply-accumulate units (MMAUs), such as NVIDIA Tensor Cores and AMD Matrix Cores, to accelerate deep neural network workloads. MMAUs expose…
RepDL: Bit-level Reproducible Deep Learning Training and Inference
Peichen Xie, Xian Zhang, Shuo Chen
Non-determinism and non-reproducibility present significant challenges in deep learning, leading to inconsistent results across runs and platforms. These issues stem from two origi…
Decentralized Verifiable Mail-in Ballot Counting for Postal Voting
Peichen Xie, Zihan Zheng, Xian Zhang +1
As computer vision is prevalently used for mail-in ballot processing and counting, it becomes a point of centralized trust in postal voting. We propose DVote, a prototype system of…
Agatha: Smart Contract for DNN Computation
Zihan Zheng, Peichen Xie, Xian Zhang +6
Smart contract is one of the core features of Ethereum and has inspired many blockchain descendants. Since its advent, the verification paradigm of smart contract has been improvin…
Customizing Trusted AI Accelerators for Efficient Privacy-Preserving Machine Learning
Peichen Xie, Xuanle Ren, Guangyu Sun
The use of trusted hardware has become a promising solution to enable privacy-preserving machine learning. In particular, users can upload their private data and models to a hardwa…
BAYHENN: Combining Bayesian Deep Learning and Homomorphic Encryption for Secure DNN Inference
Peichen Xie, Bingzhe Wu, Guangyu Sun
Recently, deep learning as a service (DLaaS) has emerged as a promising way to facilitate the employment of deep neural networks (DNNs) for various purposes. However, using DLaaS a…