17 papers
G-Power: Architecture-level GPU Power Modeling with Aggregated Knowledge Foundations from Known GPUs
Qijun Zhang, Yao Lu, Shang Liu +4
Graphics Processing Units (GPUs) have been serving as critical computation resources for large-scale parallel computations. With increasing chip complexity, power efficiency has be…
RTL-Sequencer: Towards Scalable RTL Timing Prediction with the Sequence-based Paradigm
Ziyan Guo, Wenji Fang, Wenkai Li +3
Accurate timing prediction at the register-transfer level (RTL) is a longstanding challenge in design automation. Existing graph-based methods struggle with limited receptive field…
A Survey of Circuit Foundation Model: Foundation AI Models for VLSI Circuit Design and EDA
Wenji Fang, Jing Wang, Yao Lu +4
Artificial intelligence (AI)-driven electronic design automation (EDA) techniques have been extensively explored for VLSI circuit design applications. Most recently, foundation AI…
IMPart: Integration of Memetic Operations into Multi-Level Framework for Large-k-Way Hypergraph Partitioning
Yugao Zhu, Zhicheng Guo, Shang Liu +3
The problem of k-way hypergraph partitioning is fundamental with significant applications in various fields, including VLSI design and scientific computing. State-of-the-art hyperg…
RTL-BenchLS: A Large-Scale Benchmark for RTL Reasoning and Generation with Large Language Models
Jing Wang, Shang Liu, Wenji Fang +3
LLM-based RTL generation and reasoning is a promising direction for hardware design automation. High-quality benchmarks are critical infrastructure for tracking progress in this di…
ICP: Exploiting Instruction Correlation for Prefetching Irregular Memory Accesses
Mengming Li, Chenlu Miao, Buqing Xu +7
Irregular memory accesses pose challenges for effective and efficient data prefetching. While temporal prefetchers have recently shown promise for irregular memory access patterns,…