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20 results for “hardware-software co-design”

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cs.ARcs.AIEmpiricalRecentJun 26, 2026

Agentic Hardware Design as Repository-Level Code Evolution

Cunxi Yu, Chenhui Deng, Nathaniel Pinckney, Brucek Khailany

The paper introduces HORIZON, a self-evolving agent framework for hardware design using git operations.

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cs.AREmpiricalRecentJun 15, 2026

PDAGENT-BENCH: Characterizing, Grounding, and Architecting LLM Agents for VLSI Physical Design

Qiufeng Li, Rongqian Chen, Quan Cheng, Chengxuan Wang +8 more

This paper introduces PDAGENT-BENCH, a comprehensive benchmark for evaluating Large Language Models and vision-language models in the physical design stack of Very Large-Scale Integrated Circuits.

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cs.ARcs.AIcs.SERecentJun 2, 2026

HighTide: An Agent-Curated Open-Source VLSI Benchmark Suite

Benjamin Goldblatt, Paolo Pedroso, Farhad Modaresi, Ethan Sifferman +1 more

HighTide is an evolving, AI-assisted, open-source benchmark suite for VLSI design, providing a comprehensive and scalable platform for hardware development.

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cs.HCcs.AIRecentMay 31, 2026

pcbGPT: Automatic PCB Schematic Synthesis from Natural Language Requirements

Tobias King, Steven Kehrberg, Michael Beigl, Tobias Röddiger

pcbGPT is a grounded system that automatically generates editable KiCad PCB schematics from natural language requirements, achieving high accuracy on complex embedded design tasks.

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cs.PLcs.AREmpiricalRecentJul 21, 2026

High-Level Synthesis of Efficient Pipelines with Visibility Control

Jungin Rhee, Minseong Jang, Jaewoo Kim, Jeehoon Kang

A new HLS tool is presented that enables fine-grained pipeline control in a sequential programming model for competitive PPA.

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cs.LGcs.AIcs.ARRecentJun 3, 2026

Uncertainty-Aware End-to-End Co-Design of Neural Network Processors: From Training and Mapping to Fabrication

Yuyang Du, Yujun Huang, Gioele Zardini

This paper presents a unified framework for end-to-end co-design of neural network processors.

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cs.ARcs.AIcs.LGEmpiricalRecentJun 11, 2026

VHDLSuite: Unified Pipeline for LLM VHDL Generation with Data Synthesis and Evaluation

Yijun Shen, Minghao Shao, Yichen Zhao, Zhuoyan Yu +3 more

The paper introduces VHDLSuite, an infrastructure for evaluating Large Language Models in VHDL, including a data pipeline, benchmark, and evaluation framework.

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cs.ETcs.ARcs.LGSurveyRecentJul 10, 2026

LLM for EDA in Front-End Design: Challenges and Opportunities

Kangwei Xu, Bing Li, Ulf Schlichtmann

This paper discusses the potential of Large Language Models (LLMs) in Electronic Design Automation (EDA) and reviews their applications in tasks such as circuit and testbench generation, design qualit…

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cs.AREmpiricalRecentJul 17, 2026

From Patterns to Parsers: Automatic Generation of Efficient Hardware Parsers for FPGAs

Tushar Garg, Andrew Boutros

This paper presents an open-source tool for generating efficient hardware parsers from high-level specifications using a decoupled parsing intermediate representation and custom symbolic tokens.

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cs.AREmpiricalRecentJul 16, 2026

Valinor: Architectural Support for Fast, Energy-Efficient and Programmable Physical Memory Allocation

Konstantinos Kanellopoulos, Spiros Galanopoulos, Konstantinos Sgouras, Vlad-Petru Nitu +6 more

Valinor is a hardware-OS cooperative memory allocation substrate that introduces a programmable hardware allocation engine for improving performance and reducing energy consumption in virtual-to-physi…

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cs.CRRecentMar 18, 2026

SoK: From Silicon to Netlist and Beyond $-$ Two Decades of Hardware Reverse Engineering Research

Zehra Karadağ, Simon Klix, René Walendy, Felix Hahn +4 more

This paper systematizes two decades of hardware reverse engineering research by analyzing 187 publications, identifying key technical methods and recommending improvements for reproducibility, standar…

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cs.ARcs.AIRecentMay 30, 2026

LP5X-PIM Sim: A High-Fidelity HW/SW Integrated Simulator for LPDDR5X-PIM

SangHoon Cha, Jaewan Choi, Byeongho Kim, Yoonah Paik +2 more

This paper introduces a high-fidelity, integrated hardware-software simulator for LPDDR5X-PIM, enabling precise evaluation of system performance and energy efficiency.

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cs.CRcs.ARcs.LORecentApr 25, 2026

From Language to Logic: Bridging LLMs & Formal Representations for RTL Assertion Generation

Nowfel Mashnoor, Hadi Kamali, Kimia Azar

The paper introduces ProofLoop, a novel ReAct agent that uses a solver-in-the-loop approach to automatically generate and formally verify SystemVerilog Assertions (SVA) from natural language specifica…

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cs.AIcs.ARcs.CLRecentJun 2, 2026

StepPRM-RTL: Stepwise Process-Reward Guided LLM Fine-Tuning for Enhanced RTL Synthesis

Prashanth Vijayaraghavan, Apoorva Nitsure, Luyao Shi, Ehsan Degan +1 more

StepPRM-RTL is a novel framework that enhances LLM-based RTL code generation for digital hardware designs.

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cs.ARcs.DCEmpiricalRecentJun 29, 2026

COSM: A Cooperative Scheduling Framework for Concurrent PIM and CPU Execution on Mobile Devices

Yilong Zhao, Fangxin Liu, Onur Mutlu, Mingyu Gao +3 more

The paper introduces COSM, a cooperative scheduling framework to facilitate concurrent operation of Processing-in-Memory (PIM) and CPU tasks on mobile platforms, improving PIM throughput by up to 2.8x…

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cs.CRRecentApr 13, 2026

Hardware-Efficient Compound IC Protection with Lightweight Cryptography

Levent Aksoy, Muhammad Sohaib Munir, Sedat Akleylek

The paper proposes a hardware-efficient compound IC protection mechanism that combines lightweight cryptography with logic locking and hardware obfuscation to secure integrated circuits against variou…

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cs.AIcs.CLcs.LGRecentMay 28, 2026

SchGen: PCB Schematic Generation with Semantic-Grounded Code Representations

Qinpei Luo, Ruichun Ma, Xinyu Zhang, Lili Qiu

The paper introduces SchGen, the first large language model capable of generating editable PCB schematics from natural language by using a novel semantically grounded code representation.

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cs.CRcs.ARcs.LGRecentMay 11, 2026

LLMs for Secure Hardware Design and Related Problems: Opportunities and Challenges

Johann Knechtel, Ozgur Sinanoglu, Ramesh Karri

This review analyzes the dual impact of integrating Large Language Models (LLMs) into hardware design, detailing both their transformative potential in EDA and the critical security vulnerabilities th…

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cs.AIRecentMay 29, 2026

Model-Native Computing Architecture: Envisioning Future System Architecture Through the Lens of Computer Architecture

Hai Lin

The paper proposes the Intelligent Computing Architecture Model (ICAM), a six-layer framework that unifies disparate concepts in model-native computing by viewing the LLM stack through a dual-plane ar…

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