3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.DC2026
Poseidon: DAG-Guided Parallelism Search for LLM Pre-Training on Heterogeneous Clusters
Xiaosong Chen, Shaoheng Nie, Zhongmin Zhao +6
With the rapid advancement of accelerator technologies, pre-training large language models (LLMs) on heterogeneous accelerator clusters has become increasingly crucial for maximizi…
cs.DC2025★ 3 cited
Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism
Zizhao Mo, Jianxiong Liao, Huanle Xu +2
The significant resource demands in LLM serving prompts production clusters to fully utilize heterogeneous hardware by partitioning LLM models across a mix of high-end and low-end…
cs.AR2025
MLDSE: Scaling Design Space Exploration Infrastructure for Multi-Level Hardware
Huanyu Qu, Weihao Zhang, Junfeng Lin +4
To efficiently support large-scale NNs, multi-level hardware, leveraging advanced integration and interconnection technologies, has emerged as a promising solution to counter the s…