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Software & Hardware Systems

Our researchers are driving innovation across the entire hardware, software and network stack to make computer systems more reliable, efficient and secure. 

From internet-scale networks, to next-generation chip designs, to deep learning frameworks and more, we build and refine the devices and applications that individuals, industries and, indeed, entire economies depend upon every day.


Research Groups & Labs

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SAMPL

SAMPL is an interdisciplinary machine learning research group exploring problems across the system stack, including deep learning frameworks, specialized hardware for training and inference, new intermediate representations and more.

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Sampa

Sampa is an interdisciplinary computer architecture group whose research crosses multiple layers of the system stack, from hardware to programming languages and applications, motivated by new device technologies and applications.


Faculty Members

Faculty

Faculty


Centers & Initiatives

The eScience Institute empowers researchers and students in all fields to answer fundamental questions through the use of large, complex, and noisy data. As the hub of data-intensive discovery on campus, we lead a community of innovators in the techniques, technologies, and best practices of data science and the fields that depend on them.

Society + Technology is a cross-campus, cross-disciplinary initiative and community at the University of Washington that is dedicated to research, teaching and learning focused on the social, societal and justice dimensions of technology.

Highlights


Allen School News

In a Q&A, professor Kurtis Heimerl and postdoc Esther Han Beol Jang (Ph.D., ‘24) discuss their work with residents of two Seattle tiny house villages on how they can leverage smart technologies to improve living conditions, balanced against concerns such as cost and continuity of deployment.

Allen School News

To help make datasets easier to explore, in 2015, a team of researchers led by Heer introduced Voyager, a system that automatically generates and recommends charts and visualizations based on statistical and perceptual measures — which earned the InfoVis 10-Year Test of Time Award at IEEE VIS 2025.

GeekWire

At the Allen School’s Research Showcase and Open House, school leaders celebrated the work of faculty and student researchers — and offered a blueprint for collaboratively tackling a set of human-centered problems for even greater impact.