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cs.DC2026
DeepSeek Elastic Compute (DSec): A Sandbox Infrastructure for Effective Agentic Training at Scale
Jialiang Huang, Hongxuan Tang, Jingchang Chen +128
Large-scale agentic training and evaluation with large language models (LLMs) rely on isolated, stateful execution environments in which models inspect repositories, invoke tools,…
cs.DC2025
Amoeba: Runtime Tensor Parallel Transformation for LLM Inference Services
Haoyu Chen, Xue Li, Kun Qian +3
In Large Language Model (LLM) inference services, it is challenging to make a parallelism strategy configuration, to efficiently process the requests of variance context lengths. R…
cs.DC2025
EROICA: Online Performance Troubleshooting for Large-scale Model Training
Yu Guan, Zhiyu Yin, Haoyu Chen +11
Troubleshooting performance problems of large model training (LMT) is immensely challenging, due to unprecedented scales of modern GPU clusters, the complexity of software-hardware…