research
∙
08/15/2023
Data Race Detection Using Large Language Models
Large language models (LLMs) are demonstrating significant promise as an...
share
research
∙
07/15/2023
Creating a Dataset for High-Performance Computing Code Translation: A Bridge Between HPC Fortran and C++
In this study, we present a novel dataset for training machine learning ...
research
∙
06/26/2023
LM4HPC: Towards Effective Language Model Application in High-Performance Computing
In recent years, language models (LMs), such as GPT-4, have been widely ...
research
∙
05/31/2023
PERFOGRAPH: A Numerical Aware Program Graph Representation for Performance Optimization and Program Analysis
The remarkable growth and significant success of machine learning have e...
research
∙
05/09/2023
Learning to Parallelize with OpenMP by Augmented Heterogeneous AST Representation
Detecting parallelizable code regions is a challenging task, even for ex...
research
∙
09/17/2022
Uncertainty Guided Policy for Active Robotic 3D Reconstruction using Neural Radiance Fields
In this paper, we tackle the problem of active robotic 3D reconstruction...
research
∙
09/30/2021
Unified Data Collection for Visual-Inertial Calibration via Deep Reinforcement Learning
Visual-inertial sensors have a wide range of applications in robotics. H...
research
∙
05/15/2021
Multi-scale super-resolution generation of low-resolution scanned pathological images
Digital pathology slide is easy to store and manage, convenient to brows...
research
∙
11/04/2020
