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There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
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Atlanta, GA | Posted: September 21, 2017
Jackie Nemeth
School of Electrical and Computer Engineering
404-894-2906
Summary Sentence:
ECE Associate Professor Arijit Raychowdhury has received the Best Paper Award from the IEEE Transactions on Multi-scale Computing Systems.
Full Summary:
ECE Associate Professor Arijit Raychowdhury has received the Best Paper Award from the IEEE Transactions on Multi-scale Computing Systems.
Arijit RaychowdhuryArijit Raychowdhury has received the Best Paper Award from the IEEE Transactions on Multi-scale Computing Systems (TMSCS) for an article entitled "Enabling New Computation Paradigms with HyperFET.”
The article was published in 2016 and can be found in volume 2, issue 1, pp. 30-48 of the publication. The article was coauthored by collaborators from Penn State, the University of Notre Dame, and the University of Pittsburgh.
When augmented with traditional transistor technology (HyperFETs), phase transition devices can enable a vast class of computing primitives, from better transistors to oscillators and spike generators. Raychowdhury and his colleagues have demonstrated through theory and experiments how HyperFETs can impact power efficiency of a class of computing architectures and applications. This work is currently being extended and explored in collaboration with Intel Corporation.
Raychowdhury is currently the ON Semiconductor Associate Professor in the Georgia Tech School of Electrical and Computer Engineering and leads the Integrated Circuits and Systems Research Lab. His students and he are exploring power-efficient circuits topologies and the corresponding computing models that can enable the next generation of low-power autonomous systems.
