CAP Researcher won the Best in Session for work on RAPID programming language at TECHCON2016

The Center for Automata Processing (CAP) continues its excellence in automata computing research exploration across the stack.  CAP researchers, led by Kevin Angstadt, developed a programming language optimized for pattern matching algorithms called RAPID.  The paper titled “RAPID: Accelerating pattern search applications with reconfigurable hardware” won Best in Session at the Semiconductor Research Corporation TECHCON2016…

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Eva Tardos, Computer Science Special Speaker: September 30, 2016

DATE: Friday, September 30th, 2016 TIME: 3:30 pm PLACE: Rice Hall, 130 “Co-Sponsors: Department of Computer Science,  Data Science Institute, Department of Economics” ABSTRACT Selfish behavior can often lead to suboptimal outcome for all participants, a phenomenon illustrated by many classical examples in game theory.  Over the last decade we have studied Nash equilibria of…

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PhD Qualifying Exam Presentation

Monday, September 26, 2016 at 1:30 PM in Rice 504 Jack Lanchantin Advisor: Yanjun Qi Committee Members: Gabe Robins (Committee Chair), Worthy Martin, and Hongning Wang. Deep Motif: Visualizing and Understanding Genomic Sequences Using Deep Neural Networks ABSTRACT Deep neural network (DNN) models have recently obtained state-of-the-art prediction accuracy for the transcription factor binding (TFBS)…

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Vivek Sarkar, Computer Science Special Speaker: September 23rd, 2016

DATE:                   Friday, September 23 TIME:                    3:30 pm PLACE:                 Room 130 – Rice Hall auditorium Software Challenges for Extreme Scale Systems, or how to play the End-Game for Moore’s Law ABSTRACT It is widely recognized that a major disruption is under way in computer hardware as processors strive to extend the end-game of Moore’s Law by…

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