Peinan Zhang

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The client computing platform is moving towards a heterogeneous architecture consisting of a combination of cores focused on scalar performance, and a set of throughput-oriented cores. The throughput oriented cores (e.g. a GPU) may be connected over both coherent and non-coherent interconnects, and have different ISAs. This paper describes a programming(More)
We demonstrate the advantages of a distributed collaborative system JOT CSCW j and highlight the requirements of brokercd support faT such a system. We also demonstrate how we have augmented the infrastructure of a prototype CSCW environment called SHASTRA to accommodate brokered collaboration. Several applications and possible scenarios of CSCW with(More)
We describe a distributed and collaborative environment for cooperative scientiic problem solving. SHASTRA is a highly extensible, distributed and collaborative design and scientiic manipulation environment. At its core is a powerful collaboration substrate { to support synchronous multiuser applications, and a distribution substrate { which emphasizes(More)
We describe a distributed and collaborative environment for cooperative scientiic problem solving. SHASTRA is a highly extensible, distributed and collaborative design and scientiic manipulation environment. At its core is a powerful collaboration substrate to support synchronous multiuser applications, and a distribution substrate which emphasizes(More)
Traditional sentiment classification methods often require polarity dictionaries or crafted features to utilize machine learning. However , those approaches incur high costs in the making of dictionaries and/or features, which hinder generalization of tasks. Examples of these approaches include an approach that uses a polarity dictionary that cannot handle(More)
ACKNOWLEDGMENTS Throughout the course of my education and research, there have been many in R dividuals who have supported and encouraged my academic development. I would first like to thank my thesis advisor, Professor Chandrajit Bajaj, for his years of guidance in my research and educational activities. His enthusiasm for learning, teaching, and(More)
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