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Hardware and Devices

Connecting users more naturally with their computing environment

Our research focuses on developing devices that will connect users more intimately, naturally, and efficiently with their computing environment. The devices range from large displays to wearable devices to micro-electro-mechanical systems. We collaborate with other groups to build the hardware that will support the next generation of software. We’ve developed ideas for new types of microphones and unique data-input devices, and we’re researching reconfigurable computing hardware.  


Ahmed Kharrufa, James Nicholson, Paul Dunphy, Steve Hodges, Pam Briggs, and Patrick Olivier, Using IMUs to Identify Supervisors on Touch Devices, in Interact 2015, IFIP, September 2015.

Kalin Ovtcharov, Olatunji Ruwase, Joo-Young Kim, Jeremy Fowers, Karin Strauss, and Eric Chung, Toward Accelerating Deep Learning at Scale Using Specialized Logic, HOTCHIPS, August 2015.

Gordon Bell, Counting Every Heart Beat: Observation of a Quantified Selfie, no. MSR-TR-2015-53, 17 June 2015.

Kyungmin Lee, David Chu, Eduardo Cuervo, Johannes Kopf, Yury Degtyarev, Sergey Grizan, Alec Wolman, and Jason Flinn, Outatime: Using Speculation to Enable Low-Latency Continuous Interaction for Mobile Cloud Gaming, in MobiSys 2015, ACM – Association for Computing Machinery, 3 June 2015.

Xi Yang, Stephen M. Blackburn, and Kathryn S. McKinley, Computer Performance Microscopy with SHIM, ACM/IEEE International Symposium on Computer Architecture (ISCA), June 2015.

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