1 citations · 1 across the 6 of their papers we have counts for
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HyperParallel-MoE: Multi-Core Interleaved Scheduling for Fast MoE Training on Ascend NPUs
Zewen Jin, Congkun Ai, Guangpeng Zhang +7
Modern Mixture-of-Experts (MoE) models increasingly rely on large-scale AI accelerator clusters for efficient training. Ascend NPUs expose heterogeneous on-chip compute resources,…
DVM: A Bytecode Virtual Machine Approach for Dynamic Tensor Computation
Jingzhi Fang, Xiong Gao, Renwei Zhang +6
Dynamism is common in AI computation, e.g., the dynamic tensor shapes and the dynamic control flows in models. Due to the long compilation time, existing runtime compilation damage…
HyperParallel: A Supernode-Affinity AI Framework
Xin Zhang, Beilei Sun, Teng Su +4
The emergence of large-scale, sparse, multimodal, and agentic AI models has coincided with a shift in hardware toward supernode architectures that integrate hundreds to thousands o…
HyperOffload: Graph-Driven Hierarchical Memory Management for Large Language Models on SuperNode Architectures
Fangxin Liu, Qinghua Zhang, Hanjing Shen +5
The rapid evolution of Large Language Models (LLMs) towards long-context reasoning and sparse architectures has pushed memory requirements far beyond the capacity of individual dev…