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20242026
most citedOriGen:Enhancing RTL Code Generation with Code-to-Code Augmentation and Self-Reflection

1 citations · 1 across the 9 of their papers we have counts for

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cs.AR2026

Spec-Driven Hardware Evolution via Executable Contract Refinement and Proof-Guided RTL Update

Shibo Zhao, Yang Zhang, Mengxia Tao +6

Hardware development is inherently evolutionary: major revisions typically begin by changing intended behavior and then updating a previously validated implementation, rather than…

cs.AR2026

Miter-Aware LUT Mapping: Aligning Structure and Solvability for Efficient Logic Equivalence Checking

Jiaying Zhu, Zhengyuan Shi, Mengxia Tao +3

Logic Equivalence Checking (LEC), a fundamental hardware verification task, is often bottlenecked by synthesis-induced structural perturbations and XOR-dense regions that degrade S…

cs.AR2026

EquivFusion: Unifying Hardware Equivalence Checking from Algorithms to Netlists via MLIR

Jiaying Zhu, Baoqi Zhang, Mengxia Tao +4

Ensuring functional consistency between high-level algorithmic models and low-level hardware implementations is a critical challenge, particularly as modern design flows increasing…

cs.AR2025

AC-Refiner: Efficient Arithmetic Circuit Optimization Using Conditional Diffusion Models

Chenhao Xue, Kezhi Li, Jiaxing Zhang +7

Arithmetic circuits, such as adders and multipliers, are fundamental components of digital systems, directly impacting the performance, power efficiency, and area footprint. Howeve…

cs.AR2025

DiffuSE: Cross-Layer Design Space Exploration of DNN Accelerator via Diffusion-Driven Optimization

Yi Ren, Chenhao Xue, Jiaxing Zhang +5

The proliferation of deep learning accelerators calls for efficient and cost-effective hardware design solutions, where parameterized modular hardware generator and electronic desi…

cs.AR2025

DOMAC: Differentiable Optimization for High-Speed Multipliers and Multiply-Accumulators

Chenhao Xue, Yi Ren, Jinwei Zhou +6

Multipliers and multiply-accumulators (MACs) are fundamental building blocks for compute-intensive applications such as artificial intelligence. With the diminishing returns of Moo…