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    A Divide and Conquer Framework For Graph Processing in Distributed Heterogeneous Systems 

    Panja, Rintu
    In many fields of science and engineering graph data structures are used to represent real-world information. As these graphs scale in size, it becomes very inefficient to process these graphs on a single core CPU using ...

    Accelerating Estimation of Perfusion Maps in Contrast X-ray Computed Tomography using Many-core CPUs and GPUs 

    Wankhede, Rahul
    X-ray Computed Tomography (CT) perfusion imaging is a non-invasive medical imaging modality that has been established as a fast and economical method for diagnosing cerebrovascular diseases such as acute ischemia, sub-arachnoid ...

    Characterization of Divergence resulting from Workload, Memory and Control-Flow behavior in GPGPU Applications 

    Morkhande, Rahul Raj Kumar
    GPGPUs have emerged as high-performance computing platforms and are used for boosting the performance of general non-graphics applications from various scientifi c domains. These applications span varied areas like social ...

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    AuthorMorkhande, Rahul Raj Kumar (1)Panja, Rintu (1)Wankhede, Rahul (1)Subject
    GPGPU (3)
    TECHNOLOGY (3)Arterial Input Function (1)Average normalized instructions per thread (1)Cerebral Blood Flow Maps (1)CPU (1)GPU (1)graph data structures (1)graph-based application (1)HyPar (1)... View MoreHas File(s)Yes (3)

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