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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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Database Group

The UW Database Group does theoretical, systems and user-centered work in multimodal database management systems; generative AI and data management; complexity of query evaluation and optimization; scalable, interactive data visualization; 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.


Allen School Faculty

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Centers & Initiatives

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.

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.

Highlights


Allen School News

Researchers in the Programming Languages & Software Engineering (PLSE) group introduced egg, an open-source library that uses e-graphs along with equality saturation to optimize term representations. Their paper was recently featured as a Communications of the ACM Research Highlight.

Allen School News

Grossman, who has served as vice director of the school for the past nine years and is a recognized leader in programming languages education and research, will succeed Magdalena Balazinska at the conclusion of her term on August 17.

Allen School News

In the award-winning paper, Nirkhe and his collaborators resolved a longstanding problem in quantum complexity theory by proving that quantum proofs are computationally more powerful than classical proofs.