1 citations · 1 across the 4 of their papers we have counts for
4 papers
HiFuzz: Hierarchical Reinforcement Learning for Semantic-Aware and Adaptive CPU Fuzzing
Ya Wang, Hanwei Fan, Zhenguo Liu +4
Modern processor verification struggles to reach deep architectural states due to the inefficiencies of traditional mutation-based fuzzing. We propose HiFuzz, a novel hierarchical…
Sim-FA: A GPGPU Simulator Framework for Fine-Grained Asynchronous Pipeline Analysis
Zhongchun Zhou, Yuhang Gu, Chengtao Lai +4
To efficiently support Large Language Models (LLMs), modern GPGPU architectures have introduced new features and programming paradigms, such as warp specialization. These features…
Turning the Tide: Repository-based Code Reflection
Wei Zhang, Jian Yang, Jiaxi Yang +5
Code large language models (LLMs) enhance programming by understanding and generating code across languages, offering intelligent feedback, bug detection, and code updates through…
Explainable Fuzzy Neural Network with Multi-Fidelity Reinforcement Learning for Micro-Architecture Design Space Exploration
Hanwei Fan, Ya Wang, Sicheng Li +2
With the continuous advancement of processors, modern micro-architecture designs have become increasingly complex. The vast design space presents significant challenges for human d…