The Applications Driving Architectures Center (ADA), based at the University of Michigan, aims to streamline and democratize the design and manufacturing of next-generation computing systems.
Task Liaison Meetings
ADA Center students present their research at online task liaison meetings each Wednesday. Task liaisons and other interested sponsors are invited to join. Registration is not necessary, but please visit our complete liaison meeting schedule for info on how to attend each meeting.
ADA Center News
ADA PhD student, Yongmo Park (Univ. of Michigan), was awarded an IBM PhD fellowship for his research on the development and applications of in-memory computing… more
University of Michigan’s Computer Science and Engineering Department announced Lauren Biernacki as one of the recipients of the 2021-2022 academic year… more
Two papers authored or co-authored by ADA Ph.D. student researchers and principal investigators at the ADA Research Center were accepted to appear at the 2022 ACM/… more
The Applications Driving Architectures (ADA) Research Center, led by Thurnau Prof. Valeria Bertacco, hosted its 5th annual symposium from May 10 to May 12, 2022. The event brought together… more
The committee was particularly impressed by the quality of the artifact(s) that the paper provides and its potential impact on the broader research community as a foundation on which extensive… more
The Applications Driving Architectures (ADA) Research Center hosted their 2021 Fall Symposium on November 10-12 . The event brought together 70 in-person participants from across the ADA-… more
About ADA
As the computing industry struggles to maintain its historically rapid pace of innovation, the ADA Center, based at the University of Michigan, aims to streamline and democratize the design and manufacturing of next-generation computing systems.
The Applications Driving Architectures Center (ADA) is developing a transformative, "plug-and-play" ecosystem to encourage a flood of fresh ideas in computing frontiers such as autonomous control, robotics and machine-learning.
Today, analysts worry that the industry is stagnating, caught between physical limits to the size of silicon transistors and the skyrocketing costs and complexity of system design.
According to Center Director Valeria Bertacco,"The electronic industry is facing many challenges going forward, and we stand a much better chance of solving these problems if we can make hardware design more accessible to a large pool of talent. We want to make it possible for anyone with motivation and a good idea to build novel high-performance computing systems."
The center is a five-year project that includes researchers from several leading universities.