3 papers
cs.DC2025
Understanding Stragglers in Large Model Training Using What-if Analysis
Jinkun Lin, Ziheng Jiang, Zuquan Song +13
Large language model (LLM) training is one of the most demanding distributed computations today, often requiring thousands of GPUs with frequent synchronization across machines. Su…
cs.CL2024
RAAMove: A Corpus for Analyzing Moves in Research Article Abstracts
Hongzheng Li, Ruojin Wang, Ge Shi +7
Move structures have been studied in English for Specific Purposes (ESP) and English for Academic Purposes (EAP) for decades. However, there are few move annotation corpora for Res…
cs.NI2023
Application-Defined Receive Side Dispatching on the NIC
Tao Wang, Jinkun Lin, Gianni Antichi +2
Application layer (L7) processing is increasingly implemented in proxies (e.g., Envoy) to simplify administration and management. However, prior work has observed that this reduces…