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Min-Yu Cui

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#artificial intelligence Preprint Oct 2026

T-CCL: Resource Efficient and Performant Collective Communication using Tensor Memory Accelerator

Large transformer-based models increasingly depend on multi-GPU execution, which requires frequent collective communication among GPUs. Existing communication libraries often rely on many GPU threads to achieve high bandwidth or low latency, resulting in a large streaming multiprocessor (SM)-side resource footprint. Th...

Keyvan Dadashzadeh, Yue-Hong Zhou, Min-Yu Cui et al. · 0 citations
Preprint Sep 2026

Analytical Resource Management for Fine-grained MoE Computation-Communication Overlap

A wave-quantized analytical model and launch-time resource manager for dependency-coupled overlap pipelines that selects the communication-CTA count and resource partition before each launch without candidate execution, per-workload profiling, or kernel recompilation is presented.

Hong-Yu Liu, Min-Yu Cui, Miquel Pericàs · 0 citations
#large language models Book Jul 2026

Fine-grained Computation-Communication Overlap via Tile-level Signaling and Scheduling for Mixture-of-Experts

This work presents a fine-grained approach that overlaps expert compute with the second all-to-all via tile-level signaling and scheduling, making it practical for improving distributed MoE execution efficiency on multi-GPU systems.

Min-Yu Cui, Anna Wingkvist, Morgan Ericsson · 0 citations · ⚡1

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