Author

Ju Yin

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Preprint Sep 2026

TileBench: A Controlled Benchmark for Performance Evaluation and Bottleneck Diagnosis of Tile-Based Programming Models

Tile-based programming models, such as Triton and cuTile, aim to simplify high-performance kernel development, but their practical performance, tuning behavior, and usability remain difficult to compare systematically. We present TileBench, a controlled benchmark for evaluating Triton and cuTile on NVIDIA B200 GPUs und...

Bowen Cui, Zhongchun Zhou, Hao Wu et al. · 0 citations

#machine learning Preprint Jan 2026

Elastic Spectral State Space Models for Train-Once Budgeted Inference

Elastic Spectral State Space Models is proposed, a train-once, export-many sequence modeling framework that gains elasticity through spectral approximation of the SSM sequence operator that can be truncated to competitive compact models compared with modern Transformer and SSM baselines at similar parameter scales.

Da-Chuan Song, Ju Yin, Ze-Chen Hu et al. · 1 citation

Jul 2026

Mergeable Model-Side Aggregation States for Long-Context Language Models

A model-side aggregation interface is introduced that maintains compact Hash-based HyperLogLog sketch states alongside a frozen language model that improves over direct full-context reasoning over chain-of-thought reasoning.

Da-Chuan Song, Ju Yin, Ze-Chen Hu et al. · arXiv.org · 1 citation