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20242026
most citedTensorTEE: Unifying Heterogeneous TEE Granularity for Efficient Secure Collaborative Tensor Computing

12 citations · 13 across the 18 of their papers we have counts for

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Showing 2025Show all

11 papers · 1 filter

cs.LG2025

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…

cs.AR2025

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…

cs.AR2025

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.…

cs.SE2025

Faver: Boosting LLM-based RTL Generation with Function Abstracted Verifiable Middleware

Jianan Mu, Mingyu Shi, Yining Wang +5

LLM-based RTL generation is an interesting research direction, as it holds the potential to liberate the least automated stage in the current chip design. However, due to the subst…

cs.AR2025

RIROS: A Parallel RTL Fault SImulation FRamework with TwO-Dimensional Parallelism and Unified Schedule

Jiaping Tang, Jianan Mu, Zizhen Liu +6

With the rapid development of safety-critical applications such as autonomous driving and embodied intelligence, the functional safety of the corresponding electronic chips becomes…

cs.CR2025

FicGCN: Unveiling the Homomorphic Encryption Efficiency from Irregular Graph Convolutional Networks

Zhaoxuan Kan, Husheng Han, Shangyi Shi +5

Graph Convolutional Neural Networks (GCNs) have gained widespread popularity in various fields like personal healthcare and financial systems, due to their remarkable performance.…

cs.AR2025

Large Processor Chip Model

Kaiyan Chang, Mingzhi Chen, Yunji Chen +40

Computer System Architecture serves as a crucial bridge between software applications and the underlying hardware, encompassing components like compilers, CPUs, coprocessors, and R…

cs.AR2025

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…

cs.LG2025★ 1 cited

QiMeng-CodeV-R1: Reasoning-Enhanced Verilog Generation

Yaoyu Zhu, Di Huang, Hanqi Lyu +16

Large language models (LLMs) trained via reinforcement learning with verifiable reward (RLVR) have achieved breakthroughs on tasks with explicit, automatable verification, such as…

cs.AR2025

ERASER: Efficient RTL FAult Simulation Framework with Trimmed Execution Redundancy

Jiaping Tang, Jianan Mu, Silin Liu +8

As intelligent computing devices increasingly integrate into human life, ensuring the functional safety of the corresponding electronic chips becomes more critical. A key metric fo…

cs.AR2025

FlexMem: High-Parallel Near-Memory Architecture for Flexible Dataflow in Fully Homomorphic Encryption

Shangyi Shi, Husheng Han, Jianan Mu +7

Fully Homomorphic Encryption (FHE) imposes substantial memory bandwidth demands, presenting significant challenges for efficient hardware acceleration. Near-memory Processing (NMP)…