collaborators

5 papers

cs.AI2026

MicroEvo: Knowledge-Guided LLM Sampling for Efficient Microarchitecture Design Space Exploration

Jia Xiong, Runkai Li, Chenxu Niu +11

Microarchitecture design space exploration suffers from expansive search spaces and expensive PPA evaluation, leaving only a small simulation budget for design decision-making. Exi…

cs.AR2026

ZK-Tracer: A High-Performance Heterogeneous Accelerator for Zero-Knowledge VM Trace Generation

Jieran Cui, Zhengkai Wen, Haowen Fang +6

Zero-knowledge virtual machines (zkVMs) are a key technology for driving the large-scale adoption of zero-knowledge proofs (ZKP), but their performance bottlenecks severely limit t…

cs.AR2026

ChatHLS: Towards Systematic Design Automation and Optimization for High-Level Synthesis

Runkai Li, Jia Xiong, Xiuyuan He +5

High-Level Synthesis (HLS) improves IC development productivity by enabling hardware design from C-like languages. However, strict coding constraints and design-specific optimizati…

cs.AR2026

ChatSVA: Bridging SVA Generation for Hardware Verification via Task-Specific LLMs

Lik Tung Fu, Jie Zhou, Shaokai Ren +6

Functional verification consumes over 50% of the IC development lifecycle, where SystemVerilog Assertions (SVAs) are indispensable for formal property verification and enhanced sim…

cs.AR2025

iDSE: Navigating Design Space Exploration in High-Level Synthesis Using LLMs

Runkai Li, Jia Xiong, Xi Wang

High-Level Synthesis (HLS) serves as an agile hardware development tool that streamlines the circuit design by abstracting the register transfer level into behavioral descriptions,…