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Jiaan Zhu

2 accepted papers

2026

SMIDT: High-Performance Inference Framework for MoE Models with Dynamic Top-K Routing

AAAI 2026technical

To accelerate Mixture-of-Experts (MoE) inference, the hybrid parallelism paradigm is first applying pipeline parallelism (PP) to vertically divide the model into stages, with each stage further divided horizontally using tensor or expert parallelism. On the algorithm side, dynamic Top-K routing redu

Cited by 0SourcePDFScholar
2025

BigMac: A Communication-Efficient Mixture-of-Experts Model Structure for Fast Training and Inference

AAAI 2025technical

The Mixture-of-Experts (MoE) structure scales the Transformer-based large language models (LLMs) and improves their performance with only the sub-linear increase in computation resources. Recently, a fine-grained DeepSeekMoE structure is proposed, which can further improve the computing efficiency o…