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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)
Small scale chip multiprocessors are being shipped in volume by all microprocessor vendors. Many of these vendors are also investigating large scale chip multiprocessors targeted towards highly parallel workloads in media, graphics, and others. One of the most challenging aspects of architecting terascale processors is the design of a scalable memory(More)
BACKGROUND The objective of this study was to position the iliosacral screws speedily, easily, and safely, we sought to delineate readily reproducible radiographic anatomic clues of the pedicel of S1 for the iliosacral screw placement. METHODS We used eight normal adult pelvic specimens lying on the operation table in the prone position. First, the C-arm(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)