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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.



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.

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

Vasileios Karakostas, Jayneel Gandhi, Furkan Ayar, Adrián Cristal, Mark D. Hill, Kathryn S. McKinley, Mario Nemirovsky, Michael M. Swift, and Osman Ünsal, Redundant Memory Mappings for Fast Access to Large Memories, ACM/IEEE International Symposium on Computer Architecture (ISCA), June 2015.

Jeremy Fowers, Joo-Young Kim, Doug Burger, and Scott Hauck, A Scalable High-Bandwidth Architecture for Lossless Compression on FPGAs, in The 23rd IEEE International Symposium on Field-Programmable Custom Computing Machines, IEEE – Institute of Electrical and Electronics Engineers, 4 May 2015.

Masa Ogata and Masaaki Fukumoto, FluxPaper: Reinventing Paper with Dynamic Actuation Powered by Magnetic Flux, in CHI 2015 Conference on Human Factors in Information Systems, pp.29-38, ACM – Association for Computing Machinery, 20 April 2015.

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