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Shixuan Sun

2 accepted papers

2026

DASH: Deterministic Attention Scheduling for High-throughput Reproducible LLM Training

ICLR 2026poster

Determinism is indispensable for reproducibility in large language model (LLM) training, yet it often exacts a steep performance cost. In widely used attention implementations such as FlashAttention-3, the deterministic backward pass can incur up to a 37.9% throughput reduction relative to its non‑d…

Cited by 0SourcecodeScholar
2025

ClusterFusion: Expanding Operator Fusion Scope for LLM Inference via Cluster-Level Collective Primitive

NeurIPS 2025poster

Large language model (LLM) decoding suffers from high latency due to fragmented execution across operators and heavy reliance on off-chip memory for data exchange and reduction. This execution model limits opportunities for fusion and incurs significant memory traffic and kernel launch overhead. Wh…

Cited by 0SourceScholar