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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

Stacked rocks in a beach scene

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.

Closeup of silicon chip technology

Bespoke Silicon Group

The Bespoke Silicon Group aims to bring hardware design to its highest art and rapidly conceive of, design and implement entirely new kinds of hardware faster than has ever been done before.


Allen School Faculty

Associate Professor

Professor

Assistant Professor


Centers & Initiatives

IFDS organizes its research around four core themes: complexity, robustness, closed-loop data science, and ethics and algorithms. By making concerted progress on these fundamental fronts, IFDS aims to lower several of the barriers to better understanding of data science methodology and to its improved effectiveness and wider relevance to application areas.

AI@UW aims to push the boundaries of AI technology in service to the public good by advancing ethical, interdisciplinary AI research while fostering practical innovation to benefit society at large.

Highlights


Science World

Murphy (Ph.D., ‘96), professor and former Vice-President Research and Innovation at the University of British Columbia, will lead the Vancouver, BC organization’s efforts to engage learners in STEAM (science, technology, engineering, art & design and math).

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.