Cover Image

Architect in the Loop Agentic Hardware Design and Verification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Mohammed, Mubarek
Format:	Preprint
Published:	2025
Subjects:	Hardware Architecture Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Hey AI, Generate Me a Hardware Code! Agentic AI-based Hardware Design & Verification
by: Gadde, Deepak Narayan, et al.
Published: (2025)

ML For Hardware Design Interpretability: Challenges and Opportunities
by: Baartmans, Raymond, et al.
Published: (2025)

Agentic Architect: An Agentic AI Framework for Architecture Design Exploration and Optimization
by: Blasberg, Alexander, et al.
Published: (2026)

Learning to Compare Hardware Designs for High-Level Synthesis
by: Bai, Yunsheng, et al.
Published: (2024)

David vs. Goliath: Can Small Models Win Big with Agentic AI in Hardware Design?
by: Shankar, Shashwat, et al.
Published: (2025)

SVAgent: AI Agent for Hardware Security Verification Assertion
by: Guo, Rui, et al.
Published: (2025)

AIRCHITECT v2: Learning the Hardware Accelerator Design Space through Unified Representations
by: Seo, Jamin, et al.
Published: (2025)

Hardware/Software Co-Design of RISC-V Extensions for Accelerating Sparse DNNs on FPGAs
by: Sabih, Muhammad, et al.
Published: (2025)

AccLLM: Accelerating Long-Context LLM Inference Via Algorithm-Hardware Co-Design
by: Liang, Yanbiao, et al.
Published: (2025)

MC$^2$A: Enabling Algorithm-Hardware Co-Design for Efficient Markov Chain Monte Carlo Acceleration
by: Zhao, Shirui, et al.
Published: (2025)

Challenges and Research Directions for Large Language Model Inference Hardware
by: Ma, Xiaoyu, et al.
Published: (2026)

ConSmax: Hardware-Friendly Alternative Softmax with Learnable Parameters
by: Liu, Shiwei, et al.
Published: (2024)

HDReason: Algorithm-Hardware Codesign for Hyperdimensional Knowledge Graph Reasoning
by: Chen, Hanning, et al.
Published: (2024)

Hardware Efficient Approximate Convolution with Tunable Error Tolerance for CNNs
by: Shashidhar, Vishal, et al.
Published: (2026)

On-Chip Hardware-Aware Quantization for Mixed Precision Neural Networks
by: Huang, Wei, et al.
Published: (2023)

Enabling Physical AI at the Edge: Hardware-Accelerated Recovery of System Dynamics
by: Xu, Bin, et al.
Published: (2025)

MixPE: Quantization and Hardware Co-design for Efficient LLM Inference
by: Zhang, Yu, et al.
Published: (2024)

Extending Straight-Through Estimation for Robust Neural Networks on Analog CIM Hardware
by: Feng, Yuannuo, et al.
Published: (2025)

HPD: Hybrid Projection Decomposition for Robust State Space Models on Analog CIM Hardware
by: Feng, Yuannuo, et al.
Published: (2025)

AIM: Software and Hardware Co-design for Architecture-level IR-drop Mitigation in High-performance PIM
by: Zhang, Yuanpeng, et al.
Published: (2025)

Agent Factories for High Level Synthesis: How Far Can General-Purpose Coding Agents Go in Hardware Optimization?
by: Bhandwaldar, Abhishek, et al.
Published: (2026)

AnaFlow: Agentic LLM-based Workflow for Reasoning-Driven Explainable and Sample-Efficient Analog Circuit Sizing
by: Ahmadzadeh, Mohsen, et al.
Published: (2025)

A Survey: Collaborative Hardware and Software Design in the Era of Large Language Models
by: Guo, Cong, et al.
Published: (2024)

DRCY: Agentic Hardware Design Reviews
by: Dumont, Kyle, et al.
Published: (2026)

AIvril: AI-Driven RTL Generation With Verification In-The-Loop
by: Islam, Mubashir ul, et al.
Published: (2024)

AutoHLS: Learning to Accelerate Design Space Exploration for HLS Designs
by: Ahmed, Md Rubel, et al.
Published: (2024)

Forecasting LLM Inference Performance via Hardware-Agnostic Analytical Modeling
by: Patwari, Rajeev, et al.
Published: (2025)

Multimodal Chip Physical Design Engineer Assistant
by: Tsai, Yun-Da, et al.
Published: (2025)

Report for NSF Workshop on AI for Electronic Design Automation
by: Chen, Deming, et al.
Published: (2026)

Towards Efficient IMC Accelerator Design Through Joint Hardware-Workload Co-optimization
by: Krestinskaya, Olga, et al.
Published: (2024)

Design Rules for Extreme-Edge Scientific Computing on AI Engines
by: Ma, Zhenghua, et al.
Published: (2026)

Supervised Learning for Analog and RF Circuit Design: Benchmarks and Comparative Insights
by: Mehradfar, Asal, et al.
Published: (2025)

Causal AI For AMS Circuit Design: Interpretable Parameter Effects Analysis
by: Hussain, Mohyeu, et al.
Published: (2026)

Automated Design and Optimization of Distributed Filtering Circuits via Reinforcement Learning
by: Gao, Peng, et al.
Published: (2024)

FlexLLM: Composable HLS Library for Flexible Hybrid LLM Accelerator Design
by: Zhang, Jiahao, et al.
Published: (2026)

MATADOR: Automated System-on-Chip Tsetlin Machine Design Generation for Edge Applications
by: Rahman, Tousif, et al.
Published: (2024)

Evaluating LLMs for Hardware Design and Test
by: Blocklove, Jason, et al.
Published: (2024)

FVEval: Understanding Language Model Capabilities in Formal Verification of Digital Hardware
by: Kang, Minwoo, et al.
Published: (2024)

DALI-PD: Diffusion-based Synthetic Layout Heatmap Generation for ML in Physical Design
by: Wu, Bing-Yue, et al.
Published: (2025)

Cross-Modality Program Representation Learning for Electronic Design Automation with High-Level Synthesis
by: Qin, Zongyue, et al.
Published: (2024)