Call For Contributions

Check your code using this link: https://codeocean.com/signup/ieee

Research Paper Abstract Submission Deadline: November 21, 5:00 PM (MST), (-7:00 GMT)

Research Paper Manuscript Submission Deadline: November 27, 5:00 PM (MST), (-7:00 GMT)

For more Research details, click here

Invited Session Proposals Deadline: November 27, 5:00 PM (MST), (-7:00 GMT)

Please see the sidebar to the left for associated Invited content information

Designer Track, Embedded Track, and IP Track Presentation Submission Deadline: January 22, 2020, 5:00 PM (MST), (-7:00 GMT)

For more Designer Track details, click here

For more Embedded Systems Track details, click here

For more IP Track details, click here

Late Breaking Results (LBR) Submission Deadline: March 5, 2020, 4:00 PM (MST), (-8:00 GMT)

For more LBR details, click here

EDA Sessions

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 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 ranges 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. DAC's EDA technical program has been ensuring the best-in-class solutions that promise to advance EDA.

View specific Research Paper Submission Categories.

View proposal information for Special/Invited Sessions, Panels, Workshops, Tutorials, and Colocated Conferences.

View specific Designer Track Presentation Submission Categories and IP Track Presentation Submission Categories.

ESS Sessions

Embedded systems 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 Embedded Systems and Software sessions at DAC provide a forum for discussing the challenges of embedded design and 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.

Design Sessions

Design content will be highlighted in both the Designer Track and the Research Track. We seek high-quality work in the area of design and verification for cross-cutting topics including, low-power, reliability, multicore/application specific/heterogeneous architectures, 3-D integrations, emerging device technologies, cyber-physical systems, IoT, design automation of "things", and their applications.

For design and verification focused contents, they can either be submitted to the regular Research Track or to the Designer Track. If submitting to the Research Track, the same submission format and review process as other EDA and ESS areas apply. If submitting to the Designer Track, please follow the format specified by the Designer Track.

View specific Research Paper Submission Categories.

View proposal information for Special/Invited Sessions, Panels, Workshops, Tutorials, and Colocated Conferences.

View specific Designer Track Presentation Submission Categories and IP Track Presentation Submission Categories.

IP Sessions

Intellectual Property (IP) 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 provides 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.

View specific Research Paper Submission Categories.

View proposal information for Special/Invited Sessions, Panels, Workshops, Tutorials, and Colocated Conferences.

View specific Designer Track Presentation Submission Categories and IP Track Presentation Submission Categories.

Machine Learning/AI Sessions

Machine learning and artificial intelligence (ML/AI) topic highlights advances in the field with a focus on design automation at the cross section between ML/AI algorithms and hardware (AI/ML System Design, Approximate Computing for AI/ML) 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 machine learning enabled by tensor-flow based gradient optimization in deeply layered convolutional networks (convnets) are revolutionizing the impact of artificial intelligence on every aspect of our daily lives, ranging from smart consumer electronics and services to self-navigating cars and personalized medicine. These advances in deep learning are fueled by computing architectures tailored to the distributed nature of learning and inference in neural networks, akin to the distributed nature of neural information processing and synaptic plasticity in the biological brain. Neuromorphic brain-inspired electronics for ML/AI aim at porting the brain's efficacy, efficiency, and resilience to noise and variability to electronic equivalents in standard CMOS and emerging technologies, offering new design challenges and opportunities to advance computing architecture beyond Moore's law scaling limits.

The ML/AI sessions at DAC will highlight the fundamentals, accomplishments to date, and challenges ahead in ML/AI hardware system design and design automation, providing a forum for researchers and practitioners across all the widely varying disciplines involved to connect, engage, and join in shaping the future of this exciting field.

Security Sessions

Security sessions at DAC address an 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. Not withstanding 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 topics will be featured through invited special sessions, panels, and lecture/poster presentations by both practitioners and researchers to share their knowledge and experience on this evolving environment.

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.

The 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.

View specific Research Paper Submission Categories.

View proposal information for Special/Invited Sessions, Panels, Workshops, Tutorials, and Colocated Conferences.

View specific Designer Track Presentation Submission Categories and IP Track Presentation Submission Categories.

DAC 2020 | San Francisco, CA | July 19-23