Author

Chen Tian

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Preprint Aug 2026

Adaptive Matrix Multiplication for Dynamic Shapes on Ascend NPUs

This work proposes AdaptCore, an adaptive framework for universally high-performance MatMul on Ascend NPUs, which systematically decouples operator optimization into spatial tiling and instruction orchestration and integrates a composable optimization library with a deterministic analytical performance model.

Yuhang Zhou, Jianglan Peng, Qian-Yu Jiang et al. · 0 citations

Preprint Aug 2026

Bole: Efficient Tree Speculation for Hybrid-Attention Language Models

Bole is presented, a kernel--runtime co-design that enables efficient tree speculation for hybrid-attention LLMs and couples efficient state management with a batch-wide verification budget calibrated to the complete hybrid forward.

Li Wang, Yi Su, Xiabao Wu et al. · 1 citation

Preprint Aug 2026

MoE Proxy Models for Low-Cost Failure Reproduction and Diagnosis in LLM RL Post-Training

This paper systematically analyzes failures encountered during large-scale RL training on the Huawei Ascend platform, summarizes representative failure types, and identifies three model-side factors relevant to fault reproduction.

Yikai Wang, Chuansai Zhou, Yuhang Zhou et al. · 0 citations

Preprint Aug 2026

TIDE-MC: Two-Sided Interpolative Decomposition for Billion-Scale GPU Matrix Completion

Results show that template-anchored decomposition and stage-specific GPU execution can scale matrix completion beyond device-memory capacity, and show that template-anchored decomposition and stage-specific GPU execution can scale matrix completion beyond device-memory capacity.

Chengying Huan, Yu-Bo Wang, Pin-Huan Wang et al. · 0 citations

Jul 2026

SpecLA: Efficient Speculative Decoding for Linear-Attention Models

SpecLA is presented, a speculative decoding runtime for stateful linear-attention models that verifies chains and trees with topology-aware kernels, stores compact factors produced during verification to recover accepted states, and uses confidence pruning plus a target-aligned EAGLE-style drafter to feed useful candid...

Zhibin Wang, Xuying Han, Zhaohua Yang et al. · arXiv.org · 1 citation

Preprint Aug 2026

RVANNS: Mixed-Precision Indexing and Locality-Aware Graph Traversal on RISC-V

RVANNS is presented, an RVV-oriented ANNS engine that jointly optimizes vector representation and graph locality and achieves 3.39x and 4.94x speedups over scalar execution on real 128-bit and 256-bit RVV processors, respectively.

Cheng-Ying Huan, Yudong Liu, Jian-Guo Wang et al. · 0 citations

Preprint Aug 2026

Scheduling Mixed RL Rollouts Beyond Prefix Locality

MISA-T, a routing-layer admission policy for mixed rollout serving that combines adaptive session admission, workload-aware KV-capacity allocation, and residency-time-aware KV accounting, is presented.

Zetao Hong, Song Yuan, Yuan-Hao Ding et al. · 2 citations · ⚡1