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Mengming Li

A Self-Supervised and Cross-Design Netlist Power Model for Time-Based Layout Power Analysis
ComPart: Community-Guided Post-Coarsening for High-Quality Hypergraph Partitioning
G-Power: Architecture-level GPU Power Modeling with Aggregated Knowledge Foundations from Known GPUs
ICP: Exploiting Instruction Correlation for Prefetching Irregular Memory Accesses
IMPart: Integration of Memetic Operations into Multi-Level Framework for Large-k-Way Hypergraph Partitioning
LEAP: A Self-Supervised Per-Cycle Toggle Propagation Model Supports Fast, Transferable, and Early Analysis of Layout Power
PF-LLM: Large Language Model Hinted Hardware Prefetching
ReadyPower: A Reliable, Interpretable, and Handy Architectural Power Model Based on Analytical Framework
An Architecture-Level CPU Modeling Framework for Power and Other Design Qualities
ArchPower: Dataset for Architecture-Level Power Modeling of Modern CPU Design
AssertLLM: Generating Hardware Verification Assertions from Design Specifications via Multi-LLMs
AutoPower: Automated Few-Shot Architecture-Level Power Modeling by Power Group Decoupling
FirePower: Towards a Foundation with Generalizable Knowledge for Architecture-Level Power Modeling
Integrating Prefetcher Selection with Dynamic Request Allocation Improves Prefetching Efficiency
Profile-Guided Temporal Prefetching
SpecLLM: Exploring Generation and Review of VLSI Design Specification with Large Language Model

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