The new Pavilion invites AI hardware innovators to exhibit at DAC in a turnkey solution package
SAN FRANCISCO–(BUSINESS WIRE)–The Design Automation Conference (DAC), the premier conference devoted to the design and automation of electronic circuits and systems, will this year showcase a dedicated Pavilion centered on the artificial intelligence (AI) hardware ecosystem. AI hardware is driving the largest wave of chip-design activity in decades. Understanding and harnessing the enormous computational and application potential of AI is fertile ground for new ideas and startup providers. Converting these ideas into working hardware circuits and systems is the core value of design automation, and the major technical focus of 57th DAC.
The 57th DAC will be held at Moscone West Center in San Francisco, CA, from July 19-23, 2020. DAC will co-locate with SEMICON West 2020, which is being held at the Moscone Center, North and South Halls, July 21-23, 2020.
“Each year DAC brings together the entire electronic design ecosystem under one roof – researchers, circuits and system designers, software providers, IP providers, semiconductor professionals, anyone who is in the electronics design market attends DAC,” said Zhuo Li, 57th DAC General Chair. “DAC is becoming the home for AI hardware IP, AI design automation and everything that goes into silicon chip implementation. It makes perfect sense to introduce an AI hardware pavilion at DAC 2020 for the new innovative AI startups to shine.”
Interest in the AI Hardware Pavilion is driven in part by the rapid growth of AI startups in recent years. CB Insights earlier this year reported that AI startups raised a record $26.6 billion in 2019, spanning more than 2,200 deals worldwide. That’s compared to roughly 1,900 deals totaling $22.1 billion in 2018 and about 1,700 deals totaling $16.8 billion in 2017. The biggest investments came in AI for health care, followed by industries such as finance, retail, sales, and cybersecurity.
DAC welcomes the companies that focus on the following areas to exhibit at DAC in a turnkey AI Hardware Pavilion:
- AI infrastructure in data centers, hardware requirements for training and inference at scale
- Edge computing: Applications for AI accelerators
- AI’s impact on memory, storage and networking
- ML models on hardware design: Machine learning co-design, robustness and re-programmability, model standardization and interoperability
- AI chip design and commercialization: Design, testing and manufacturing, form factors and routes-to-market.
The AI Pavilion is located adjacent to the popular DAC Theater Pavilion, which hosts hourly presentations over three days, attracting 150-300 attendees to each presentation. Presentations at the 2020 DAC Pavilion include AI hardware topics, leading members of the AI technical community and AI/machine learning discussions.
DAC invites all companies that are part of this vital and expanding area of the electronic design industry to participate and exhibit in the AI Hardware Pavilion.
For additional information the Design Automation Conference, visit www.dac.com.
The Design Automation Conference (DAC) is recognized as the premier event for the design of electronic circuits and systems, and for electronic design automation (EDA) and silicon solutions. A diverse worldwide community representing more than 1,000 organizations attends each year, represented by system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading universities. Close to 60 technical sessions selected by a committee of electronic design experts offer information on recent developments and trends, management practices and new products, methodologies and technologies. A highlight of DAC is its exhibition and suite area with approximately 200 of the leading and emerging EDA, silicon, intellectual property (IP) and design services providers. The conference is sponsored by the Association for Computing Machinery (ACM), and the Institute of Electrical and Electronics Engineers (IEEE), and is supported by ACM’s Special Interest Group on Design Automation (ACM SIGDA) and IEEE’s Council on Electronic Design Automation (CEDA).
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