research
∙
05/22/2023
A Framework for Fine-Grained Synchronization of Dependent GPU Kernels
Machine Learning (ML) models contain highly-parallel computations, such ...
share
research
∙
01/21/2023
SuperScaler: Supporting Flexible DNN Parallelization via a Unified Abstraction
With the growing model size, deep neural networks (DNN) are increasingly...
research
∙
10/21/2022
Error-Covariance Analysis of Monocular Pose Estimation Using Total Least Squares
This study presents a theoretical structure for the monocular pose estim...
research
∙
06/22/2021
