8 papers
HWE-Bench: Benchmarking LLM Agents on Real-World Hardware Bug Repair Tasks
Fan Cui, Hongyuan Hou, Zizhang Luo +2
Existing benchmarks for hardware design primarily evaluate Large Language Models (LLMs) on isolated, component-level tasks such as generating HDL modules from specifications, leavi…
LLM-Guided Strategy Synthesis for Scalable Equality Saturation
Chenyun Yin, Youwei Xiao, Yuze Luo +2
Equality saturation (EqSat) is a powerful optimization paradigm that compactly represents many equivalent programs in an e-graph and delays commitment until extraction selects a lo…
Hive: A Multi-Agent Infrastructure for Algorithm- and Task-Level Scaling
Zizhang Luo, Yuhao Luo, Youwei Xiao +3
Large language models are increasingly deployed as complex agentic systems that scale with task complexity. While prior work has extensively explored model- and system-level scalin…
Clover: A Neural-Symbolic Agentic Harness with Stochastic Tree-of-Thoughts for Verified RTL Repair
Zizhang Luo, Yansong Xu, Runlin Guo +6
RTL program repair remains a critical bottleneck in hardware design and verification. Traditional automatic program repair (APR) methods rely on predefined templates and synthesis,…
Aquas: Enhancing Domain Specialization through Holistic Hardware-Software Co-Optimization based on MLIR
Yuyang Zou, Youwei Xiao, Chenyun Yin +6
Application-Specific Instruction-Set Processors (ASIPs) built on the RISC-V architecture offer specialization opportunities for various applications. Existing frameworks are largel…
Efficient Solving for Dynamic Data Structure Constraint Satisfaction Problem
Nanbing Li, Weijie Peng, Jin Luo +4
Functional verification plays a central role in ensuring the correctness of modern integrated circuit designs, where constrained-random verification is widely adopted to generate d…