collaborators

5 papers

cs.DC2026

SPLASH: Switching Parallel Layouts of Attention with Seamless Handoff for LLM Serving

Chuan Liu, Shuoming Zhang, Zhicheng Li +6

No single way of parallelizing attention serves large language models well under all loads. Low concurrency favors tensor parallelism, many independent requests favor data-parallel…

cs.PL2026

Decode-Time Grammars: Constrained LLM Generation over a Refinement Order of Grammar Fragments

Shuoming Zhang, Ruiyuan Xu, Haofeng Li +7

Large language models now write a growing share of the world's code, increasingly inside agents and serving systems that compile, execute, or dispatch generated code without line-b…

cs.AI2026

KLineage: Recovering the Missing When of Kernel Optimization by Deoptimizing Experts

Shuoming Zhang, Qiuchu Yu, Yangyu Zhang +11

LLM-based agents are increasingly used to generate GPU kernels, but they often struggle to determine when an optimization is sound because its required code state and dependencies…

cs.PL2026

The New Compiler Stack: A Survey on the Synergy of LLMs and Compilers

Shuoming Zhang, Jiacheng Zhao, Qiuchu Yu +4

This survey has provided a systematic overview of the emerging field of LLM-enabled compilation by addressing several key research questions. We first answered how LLMs are being i…

cs.AR2025

QiMeng: Fully Automated Hardware and Software Design for Processor Chip

Rui Zhang, Yuanbo Wen, Shuyao Cheng +17

Processor chip design technology serves as a key frontier driving breakthroughs in computer science and related fields. With the rapid advancement of information technology, conven…