activity
20242026
most citedAssertLLM: Generating and Evaluating Hardware Verification Assertions from Design Specifications via Multi-LLMs

8 citations · 13 across the 15 of their papers we have counts for

collaborators

16 papers

cs.CL2026

TomasuLLM: Out-of-Order Speculative Execution for LLM Agents

Jiangnan Yu, Ceyu Xu, Mengming Li +6

Long-running tools can dominate coding-agent latency: compilers, test suites, and repository commands take seconds to minutes while the agent idles. This observation stall presents…

cs.AI2026

Memory Compression for High-Fanout Agent Sandboxes

Mengming Li, Ceyu XU, Qijun Zhang +4

High-fanout agent workloads create a growing memory bottleneck because a single task may spawn many concurrent sandbox sessions. Yet these sandboxes are far from independent: they…

cs.AR2026

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…

cs.AR2026

LEAP: A Self-Supervised Per-Cycle Toggle Propagation Model Supports Fast, Transferable, and Early Analysis of Layout Power

Wenkai Li, Yuchao Wu, Ziyan Guo +4

Accurate power analysis is critical in VLSI design, as it directly impacts power optimization strategies. However, traditional approaches are often hindered by the substantial runt…

cs.AR2026

ComPart: Community-Guided Post-Coarsening for High-Quality Hypergraph Partitioning

Yugao Zhu, Zhicheng Guo, Yuchao Wu +3

Hypergraph partitioning is a critical step in the design of complex embedded systems, essential for optimizing task mapping on heterogeneous MPSoCs and enabling multi-FPGA prototyp…

cs.AR2026

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…

cs.AR2026

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,…

cs.AR2025

ReadyPower: A Reliable, Interpretable, and Handy Architectural Power Model Based on Analytical Framework

Qijun Zhang, Shang Liu, Yao Lu +2

Power is a primary objective in modern processor design, requiring accurate yet efficient power modeling techniques. Architecture-level power models are necessary for early power o…

cs.AR2025

ArchPower: Dataset for Architecture-Level Power Modeling of Modern CPU Design

Qijun Zhang, Yao Lu, Mengming Li +2

Power is the primary design objective of large-scale integrated circuits (ICs), especially for complex modern processors (i.e., CPUs). Accurate CPU power evaluation requires design…

cs.AR2025

AutoPower: Automated Few-Shot Architecture-Level Power Modeling by Power Group Decoupling

Qijun Zhang, Yao Lu, Mengming Li +1

Power efficiency is a critical design objective in modern CPU design. Architects need a fast yet accurate architecture-level power evaluation tool to perform early-stage power esti…

cs.AR2025

Profile-Guided Temporal Prefetching

Mengming Li, Qijun Zhang, Yichuan Gao +4

Temporal prefetching shows promise for handling irregular memory access patterns, which are common in data-dependent and pointer-based data structures. Recent studies introduced on…

cs.AR2025

Integrating Prefetcher Selection with Dynamic Request Allocation Improves Prefetching Efficiency

Mengming Li, Qijun Zhang, Yongqing Ren +1

Hardware prefetching plays a critical role in hiding the off-chip DRAM latency. The complexity of applications results in a wide variety of memory access patterns, prompting the de…

cs.AR2024

AssertLLM: Generating Hardware Verification Assertions from Design Specifications via Multi-LLMs

Zhiyuan Yan, Wenji Fang, Mengming Li +4

Assertion-based verification (ABV) is a critical method to ensure logic designs comply with their architectural specifications. ABV requires assertions, which are generally convert…

cs.AR2024

FirePower: Towards a Foundation with Generalizable Knowledge for Architecture-Level Power Modeling

Qijun Zhang, Mengming Li, Yao lu +1

Power efficiency is a critical design objective in modern processor design. A high-fidelity architecture-level power modeling method is greatly needed by CPU architects for guiding…

cs.AR2024★ 8 cited

AssertLLM: Generating and Evaluating Hardware Verification Assertions from Design Specifications via Multi-LLMs

Wenji Fang, Mengming Li, Min Li +4

Assertion-based verification (ABV) is a critical method for ensuring design circuits comply with their architectural specifications, which are typically described in natural langua…

cs.AR2024★ 5 cited

SpecLLM: Exploring Generation and Review of VLSI Design Specification with Large Language Model

Mengming Li, Wenji Fang, Qijun Zhang +1

The development of architecture specifications is an initial and fundamental stage of the integrated circuit (IC) design process. Traditionally, architecture specifications are cra…