2 papers
cs.DC2026
An Efficient, Reliable and Observable Collective Communication Library in Large-scale GPU Training Clusters
Mingjun Zhang, Xiaohe Hu, Menghao Zhang +21
Large-scale LLM training requires collective communication libraries to exchange data among distributed GPUs. As a company dedicated to building and operating large-scale GPU train…
cs.CR2024
Enhancing Pre-Trained Language Models for Vulnerability Detection via Semantic-Preserving Data Augmentation
Weiliang Qi, Jiahao Cao, Darsh Poddar +2
With the rapid development and widespread use of advanced network systems, software vulnerabilities pose a significant threat to secure communications and networking. Learning-base…