1 citations · 1 across the 15 of their papers we have counts for
17 papers
E-ALS: Approximation-Potential-Aware E-Graph Rewriting for Approximate Logic Synthesis
Bin Sun, Jianan Mu, Jiaxi Zhang +4
Approximate logic synthesis (ALS) improves circuit power, performance, and area by trading exact correctness for bounded functional error. However, existing structural ALS methods…
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…
Rtl2lean: Automated RTL-to-Lean Translation with Hierarchical Theorem Generation and Lemma Reuse
Hongqin Lyu, Junxing Dong, Yonghao Wang +3
Formal verification with interactive theorem provers can provide strong correctness guarantees for register transfer level designs, but applying it to existing SystemVerilog code r…
Arcane: An Assertion Reduction Framework through Semantic Clustering and MCTS-Guided Rule Exploring
Hongqin Lyu, Yonghao Wang, Zhiteng Chao +2
Assertion-based Verification (ABV) is essential for ensuring that hardware designs conform to their intended specifications. However, existing automated assertion-generation approa…
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…
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…
From Indiscriminate to Targeted: Functionally Critical Signal-Driven Assertion Generation using LLMs for Efficient RTL Verification
Yonghao Wang, Hongqin Lyu, Boling Chen +9
Functional verification has become the most time-consuming phase in IC development, and Assertion-Based Verification (ABV) is key to reducing debugging time. However, existing LLM-…
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…
Iterative LLM-Based Assertion Generation Using Syntax-Semantic Representations for Functional Coverage-Guided Verification
Yonghao Wang, Jiaxin Zhou, Yang Yin +6
While leveraging LLMs to automatically generate SystemVerilog assertions (SVAs) from natural language specifications holds great potential, existing techniques face a key challenge…
ParaGate: Parasitic-Driven Domain Adaptation Transfer Learning for Netlist Performance Prediction
Bin Sun, Jingyi Zhou, Jianan Mu +5
In traditional EDA flows, layout-level performance metrics are only obtainable after placement and routing, hindering global optimization at earlier stages. Although some neural-ne…
InF-ATPG: Intelligent FFR-Driven ATPG with Advanced Circuit Representation Guided Reinforcement Learning
Bin Sun, Rengang Zhang, Zhiteng Chao +4
Automatic test pattern generation (ATPG) is a crucial process in integrated circuit (IC) design and testing, responsible for efficiently generating test patterns. As semiconductor…
Think with Self-Decoupling and Self-Verification: Automated RTL Design with Backtrack-ToT
Zhiteng Chao, Yonghao Wang, Xinyu Zhang +9
Large language models (LLMs) hold promise for automating integrated circuit (IC) engineering using register transfer level (RTL) hardware description languages (HDLs) like Verilog.…
AssertMiner: Module-Level Spec Generation and Assertion Mining using Static Analysis Guided LLMs
Hongqin Lyu, Yonghao Wang, Jiaxin Zhou +3
Assertion-based verification (ABV) is a key approach to checking whether a logic design complies with its architectural specifications. Existing assertion generation methods based…
AssertFix: Empowering Automated Assertion Fix via Large Language Models
Hongqin Lyu, Yunlin Du, Yonghao Wang +3
Assertion-based verification (ABV) is critical in ensuring that register-transfer level (RTL) designs conform to their functional specifications. SystemVerilog Assertions (SVA) eff…
AssertGen: Enhancement of LLM-aided Assertion Generation through Cross-Layer Signal Bridging
Hongqin Lyu, Yonghao Wang, Yunlin Du +5
Assertion-based verification (ABV) serves as a crucial technique for ensuring that register-transfer level (RTL) designs adhere to their specifications. While Large Language Model…
DeepAssert: An LLM-Aided Verification Framework with Fine-Grained Assertion Generation for Modules with Extracted Module Specifications
Yonghao Wang, Jiaxin Zhou, Hongqin Lyu +3
Assertion-Based Verification (ABV) is a crucial method for ensuring that logic designs conform to their architectural specifications. However, existing assertion generation methods…
Extend IVerilog to Support Batch RTL Fault Simulation
Jiaping Tang, Jianan Mu, Zizhen Liu +3
The advancement of functional safety has made RTL-level fault simulation increasingly important to achieve iterative efficiency in the early stages of design and to ensure complian…