collaborators

16 papers

cs.AR2026

ARMOR: Accelerating RTL Simulation by Mitigating the Front-End Bottleneck Using Node Compression

Jiaping Tang, Jianan Mu, Zhiteng Chao +3

RTL simulation is indispensable in chip design. High-performance simulators typically lower each node in the RTL graph into an instruction sequence. Although this per-node lowering…

cs.AR2026

An Efficient Fault-Tolerance Scheme for CKKS Computation on CPUs

Jianan Mu, Ge Yu, Tenghui Hua +6

Fully homomorphic encryption (FHE) enables computation on encrypted data, but its long ciphertext dataflow and high-dimensional modular arithmetic make it vulnerable to silent data…

cs.AR2026

FT-Pilot: Automated Fault-Tolerant RTL Rewriting via Vulnerability-Guided LLMs

Weixing Liu, Zizhen Liu, Jing Ye +4

As integrated circuit technologies continue to scale toward advanced process nodes, the continual reduction in node capacitance and supply voltage has made digital systems increasi…

cs.AR2026

Pecker: Bug Localization Framework for Sequential Designs via Causal Chain Reconstruction

Jiaping Tang, Jianan Mu, Tianyun Ma +3

Debugging represents a time-consuming and labor-intensive task in hardware design, with bug localization constituting a substantial portion of this process. While spectrum-based bu…

cs.AR2026

CoverAssert: Iterative LLM Assertion Generation Driven by Functional Coverage via Syntax-Semantic Representations

Yonghao Wang, Yang Yin, Hongqin Lyu +8

LLMs can generate SystemVerilog assertions (SVAs) from natural language specs, but single-pass outputs often lack functional coverage due to limited IC design understanding. We pro…

cs.AR2026

RTLSeek: Boosting the LLM-Based RTL Generation with Multi-Stage Diversity-Oriented Reinforcement Learning

Xinyu Zhang, Zhiteng Chao, Yonghao Wang +6

Register Transfer Level (RTL) design translates high-level specifications into hardware using HDLs such as Verilog. Although LLM-based RTL generation is promising, the scarcity of…