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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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9 papers · 1 filter

cs.ET2026

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…

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

HE^2: A Communication-Light Heterogeneous Architecture for Efficient Fully Homomorphic Encryption

Shangyi Shi, Husheng Han, Zhaoxuan Kan +8

CKKS, an emerging fully homomorphic encryption (FHE) scheme, has been promising in privacy-preserving applications by enabling SIMD fixed-point computations on ciphertexts. Despite…

cs.LG2026

AutoPPA: Automated Circuit PPA Optimization via Contrastive Code-based Rule Library Learning

Chongxiao Li, Pengwei Jin, Di Huang +14

Performance, power, and area (PPA) optimization is a fundamental task in RTL design, requiring a precise understanding of circuit functionality and the relationship between circuit…

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

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-…

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…

cs.CR2026

On the Vulnerability of FHE Computation to Silent Data Corruption

Jianan Mu, Ge Yu, Zhaoxuan Kan +6

Fully Homomorphic Encryption (FHE) is rapidly emerging as a promising foundation for privacy-preserving cloud services, enabling computation directly on encrypted data. As FHE impl…