8 citations · 10 across the 8 of their papers we have counts for
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cs.DC2026
FLYING SERVING: On-the-Fly Parallelism Switching for Large Language Model Serving
Shouwei Gao, Junqi Yin, Feiyi Wang +1
Production LLM serving must simultaneously deliver high throughput, low latency, and sufficient context capacity under non-stationary traffic and mixed request requirements. Data p…
cs.DC2024
AI-coupled HPC Workflow Applications, Middleware and Performance
Wes Brewer, Ana Gainaru, Frédéric Suter +3
AI integration is revolutionizing the landscape of HPC simulations, enhancing the importance, use, and performance of AI-driven HPC workflows. This paper surveys the diverse and ra…
cs.DC2023★ 1 cited
Optimizing Distributed Training on Frontier for Large Language Models
Sajal Dash, Isaac Lyngaas, Junqi Yin +5
Large language models (LLMs) have demonstrated remarkable success as foundational models, benefiting various downstream applications through fine-tuning. Recent studies on loss sca…