TODAES is a premier ACM journal in design and automation of electronic systems. It publishes innovative work documenting significant research and development advances on the specification, design, analysis, simulation, testing, and evaluation of electronic systems, emphasizing a computer science/engineering orientation. Design automation for machine learning/AI and machine learning/AI for design automation are very much welcomed.

Topics of interest to TODAES include, but are not limited to:

Architecture- and System-Level Design and Automation

    Specification, modeling, analysis and simulation
    Hardware-software co-design
    Design for in- and near-memory computing

Circuit- and Logic-Level Design and Automation

    Analog/digital design, analysis, and simulation
    Logic, RTL, behavioral synthesis, and FPGA synthesis

Embedded and Cyber-physical System Design and Automation

    Embedded system and reconfigurable system architectures
    Embedded storage and I/O systems
    Real-time, reliable and dependable computing systems

Emerging Technology and Platform based Design and Automation

    New/emerging technologies and CAD applications (e.g., bio/photonic/spintronic/ferroelectric device based computing)
    Quantum computing

Machine Learning for Design Automation and Design Automation for Machine Learning

    Machine learning techniques for design automation
    Accelerator architectures and systems for machine learning applications
    Algorithm and hardware co-design for machine learning

Physical Design and Design for Manufacturability

    Physical design
    Design for manufacturability and yield
    Signal/power integrity

Reliability, Verification and Test

    Robustness and reliability
    Simulation, validation, and formal verification
    Testing and design for testability
    Fault-tolerant computing

Security for Electronic Systems

    Hardware security
    Software security
    Embedded and cross-layer security
    Machine Learning techniques to enhance security

TODAES strives to achieve fast review turnarounds such that the first-round review decisions are made within 60 days on average. It publishes one volume every year. Each volume comprises six issues, which appear bi-monthly. TODAES welcomes the following types of submissions:

    Regular Research Papers
    Keynotes
    Surveys
    Tutorials
    Designer Notes

Potential authors are encouraged to consult the information for authors for the description of the above article types and detailed submission information. Please use http://mc.manuscriptcentral.com/todaes for new submissions, status of papers, assignment of reviewers and reviewing tasks. Please note, if you don't have an account at ACM Manuscript Central, you will need to create an account before you can log in and submit to ACM TODAES.

Special Issue on Large Language Models for Electronic System Design Automation
截稿日期: 2024-09-30

Guest Editors
• Robert Dick: Electrical Engineering and Computer Science Dept., University of Michigan
• Hammond Pearce: School of Computer Science and Engineering, University of New South Wales
• Li Shang: School of Computer Science, Fudan University
• Fan Yang: School of Microelectronics, Fudan University

Large Language Models (LLMs) such as ChatGPT, Gemini, and Llama stand to revolutionize the engineering
process, and it is likely that Electronic (System) Design Automation (EDA) will be profoundly impacted.
The landscape of modern electronic system design is characterized by staggering complexity, ranging from
the intricacies of embedded system software/hardware co-design to the optimization of integrated
circuits at the billion-transistor scale. This intricacy, coupled with the pressing demand to minimize time-
to-market, opens numerous opportunities for automation to improve the design process. LLMs are
already enabling significant advances in this area and may transform EDA field in the future.

Several recent applications of LLMs to EDA problems include the automated generation and optimization
of microprocessors and ASICs, analog circuits, embedded system software, and system-level software-
hardware designs. Research thus far has demonstrated advantages over traditional design automation
methodologies. However, the application of LLMs in EDA is still at an exciting, nascent stage in which the
potential is becoming clear, but many important problems remain unsolved. Theories specific to this
domain are under active development, domain-specific models are rapidly evolving, and most existing
tools are not yet mature.

Topics
This special issue is dedicated to showcasing the latest advancements in applying LLMs to electronic
system design. Its focus is on harnessing the power of LLMs to drive innovation and enhance theories,
models, algorithms, methodologies, tools, and workflows in EDA, from system-level to circuits. Examples
of relevant work include, but are not limited to, how to design, instruct, train, and/or use off-the-shelf or
custom LLMs as substantial components in systems solving the following problems:
• embedded system and circuit modeling and analysis
• microprocessor design and design optimization
• high-level/logic/physical synthesis
• analog circuit design and design optimization
• embedded system software development
• system software-hardware co-design
• embedded system and circuit explanation, testing & verification

Important Dates
• Submissions deadline: September 30, 2024
• First-round review decisions: November 15, 2024
• Deadline for revision submissions: December 15, 2024
• Notification of final decisions: January 15, 2025

Submission Information
Authors are encouraged to submit high-quality original research papers that will not require major
revisions. Please clearly indicate the additional material relative to any preexisting conference paper.
Submissions of relevant original work not previously presented at any conference are especially
welcome. Concurrent submission to another conference or journal will result in rejection of a paper
without review. All papers will be fully refereed to the usual journal standards. Submissions should be
made through the ACM TODAES submission site (http://mc.manuscriptcentral.com/todaes) and
formatted according to TODAES author guidelines at https://dl.acm.org/journal/todaes/author-
guidelines.

For questions and further information, please contact the guest editors.
• Robert Dick 
• Hammond Pearce 
• Li Shang 
• Fan Yang