2 papers
cs.DC2025
Do Large Language Models Understand Performance Optimization?
Bowen Cui, Tejas Ramesh, Oscar Hernandez +1
Large Language Models (LLMs) have emerged as powerful tools for software development tasks such as code completion, translation, and optimization. However, their ability to generat…
cs.LG2025
Robustness of deep learning classification to adversarial input on GPUs: asynchronous parallel accumulation is a source of vulnerability
Sanjif Shanmugavelu, Mathieu Taillefumier, Christopher Culver +3
The ability of machine learning (ML) classification models to resist small, targeted input perturbations -- known as adversarial attacks -- is a key measure of their safety and rel…