Conference Information
DAC 2025: Design Automation Conference
https://www.dac.com/
Submission Date:
2024-11-12
Notification Date:
Conference Date:
2025-06-22
Location:
San Francisco, California, USA
Years:
62
CCF: a   CORE: a   QUALIS: a1   Viewed: 281439   Tracked: 123   Attend: 22

Call For Papers
Autonomous Systems

Electronics content in modern autonomous systems (e.g., automotive, robotics, drones, etc.) is growing at an increasingly rapid pace. Nearly every aspect of these complex systems uses smart electronics and embedded software to make our experiences safer, more energy-efficient and enjoyable. For example, premium vehicles can have several million lines of embedded software code running on hundreds of electronic control units. Within autonomous systems, such as automotive, these sub-systems connect with one another by in-system networks. As the trend towards fully autonomous driving and connectivity accelerates, the ability to deliver these innovations depends more than ever on advanced electronics and software development.

Autonomous Systems sessions at DAC provide insight into designing automotive, robotic, and drone electronics systems and software that adhere to complex requirements and often stringent industry standards.

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Artificial Intelligence (AI)

Artificial intelligence (AI) topic highlights advances in the field with a focus on all aspects of AI algorithms and systems design, including security/privacy, as well as  application of machine learning (ML) and AI techniques to design automation. While artificial intelligence and artificial neural network research has been ongoing for more than half a century, recent advances in accelerating the pace and scale of ML and deep neural networks (DNNs) are revolutionizing the impact of artificial intelligence on every aspect of our daily lives, ranging from smart consumer electronics and autonomous systems to personalized medicine and services. These advances in deep learning are fueled by computing architectures tailored to the distributed nature of learning and inference in neural networks, offering new design challenges and opportunities to advance computing architecture beyond Moore's law scaling limits.

AI sessions at DAC will highlight the fundamentals, accomplishments to date, and challenges ahead in AI models, algorithms, system design and security/privacy issues as well as design automation, providing a forum for researchers and engineers across all of the widely varying disciplines involved to connect, engage, and join in shaping the future of this exciting field.

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Security

Security topic at DAC focuses on the urgent need to create, analyze, evaluate, and improve the hardware, embedded systems and software base of the contemporary security solutions. Secure and trustworthy software and hardware components, platforms and supply chains are vital to all domains including financial, healthcare, transportation, and energy. Security of systems is becoming equally important. A revolution is underway in many industries that are "connecting the unconnected". Such cyber physical systems, e.g., automobiles, smart grid, medical devices, etc., are taking advantage of integration of physical systems with the information systems. Notwithstanding the numerous benefits, these systems are appealing targets of attacks. Attacks on the cyber-part of such systems can have disastrous consequences in the physical world. The scope and variety of attacks on these systems present design challenges that span embedded hardware, software, networking, and system design.

Security sessions at DAC will feature invited special sessions, panels, and lecture/poster presentations by both engineers and researchers to share their knowledge and experience on this evolving environment.

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Cloud

Cloud computing has become a mainstay in high performance computing, including chip design and manufacturing environments. Companies are increasingly leveraging cloud for its inherent scalability, state-of-the-art compute availability, ability to provide data-driven insights and spur innovation. Over the past decade, cloud companies have provided substantial improvements by designing highly secure, scalable and cost-efficient systems that enable and accelerate EDA.

Cloud sessions at DAC will cover cloud computing hardware and software, 5G+ network infrastructures, datacenter systems architecture with disaggregated memory and storage, security and trust features including hardware root-of-trust, chip design, verification and manufacturing workload migrations, cloud case studies, technical and business benefits & challenges of cloud, hybrid reference architectures, cost-efficient cloud based flows, cloud-specific infrastructure and cloud-native AI/ML processing hardware.

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Design

To keep up with the ever-increasing design complexity and associated challenges on the design community, researchers and engineers have to constantly question old assumptions and consider new approaches beyond traditional techniques. DAC seeks high-quality work in the area of design and verification for cross-cutting topics including low-power, security, reliability, multicore/application specific/heterogeneous architectures, AI/ML hardware and systems, 3-D integrations, emerging device technologies, cyber-physical systems, IoT, design automation of "things," quantum computing, and their applications.  
 
For design and verification focused contents, they can either be submitted to the regular Research Track or to the Engineering Tracks. If submitting to the Research Track, the same submission format and review process as other EDA and ESS areas apply. If submitting to the Back-End or Front-End Design Track, please follow the format specified by that track.

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Electronic Design Automation (EDA)

EDA (Electronics Design Automation) is becoming ever more important with the continuous scaling of semiconductor devices and the growing complexities of their use in circuits and systems. Demands for lower-power, higher-reliability and more agile electronic systems raise new challenges to both design and design automation of such systems. For more than five decades, the primary focus of the research track at DAC has been to showcase leading-edge research and practice in tools and methodologies for the design from  circuits  to systems.

In addition to the traditional EDA topics ranging from physical design to system architectures, DAC features high-quality papers on design research, design practices, and design automation for cross-cutting topics including low-power, reliability, multicore/application specific/heterogeneous architectures, 3-D integrations, emerging device technologies, design automation of "things", and their applications. The track also highlights the advances of AI/ML techniques in the field of design automation. DAC's EDA technical program has been ensuring the best-in-class solutions that promise to advance EDA.

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Embedded Systems and Software (ESS)

ESS (Embedded Systems and Software) are an increasingly diverse, disruptive, and challenging field for designs ranging from mobile devices to medical devices to industrial and beyond. Embedded software is built into devices that may not necessarily be recognized as computing devices, but nevertheless controls the functionality and perceived quality of these devices. Embedded systems design is the art of choosing and designing the proper combination of hardware and software components to achieve system level design goals like speed, efficiency, reliability, security, and safety. Embedded software is of growing importance in embedded systems of all kinds.

The ESS sessions at DAC provide a forum for discussing the challenges of embedded design and an opportunity for researchers and engineers to come together to exchange ideas and roadmaps for the future for this rapidly expanding area. For Embedded Systems-focused contents, they can either be submitted to the regular Research or Embedded Systems Track. If submitting to the Research Track, the same submission format and review process as other areas apply. If submitting to Embedded Systems Track, please follow the format specified by that track.

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Intellectual Property (IP)

IP (Intellectual Property) is increasingly complex, diverse, innovative, and challenging. The complexity is driven by increasing requirements for higher integration levels that are reusable; the diversity to satisfy varying environmental conditions and constraints dictated by the different target markets. In addition, the evolution of IP is being driven by innovative architectures to address the latency-power-performance needs of new disruptive applications, such as machine learning. The IP challenges are to cope with the complexities of advanced technology nodes. IP design is the art of choosing and designing the proper combination of analog, digital, RF hardware and software components to achieve sub-system-level design goals like speed, power, latency, efficiency, reliability, security, and safety. EDA tools, automation and methods are continuously improved to help architect, develop, verify and manage the ever more complex IP and IP portfolios.

The IP track sessions at DAC provide a forum for presenting and discussing the challenges of IP development, verification, integration and management. It also provides an opportunity for leaders in the industry and academia to come together to exchange ideas and roadmaps for the future for this rapidly expanding area.

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View submission details for IP Engineering Track presentations
View proposal information for Sunday Workshops, Monday Tutorials, Special/Invited Sessions, and Panels,
Last updated by Dou Sun in 2024-10-23
Acceptance Ratio
YearSubmittedAcceptedAccepted(%)
201478717422.1%
201374015621.1%
201274116422.1%
200686520924.2%
200573515421%
200478516320.8%
200362815224.2%
200249114729.9%
200141016039%
200039014236.4%
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