Nicholas Moore

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—Biomedical image reconstruction applications with large datasets can benefit from acceleration. Graphic Processing Units(GPUs) are particularly useful in this context as they can produce high fidelity images rapidly. An image algorithm to reconstruct conebeam computed tomography(CT) using two dimensional projections is implemented using GPUs. The(More)
—For some classes of problems, NVIDIA CUDA abstraction and hardware properties combine with problem characteristics to limit the specific problem instances that can be effectively accelerated. As a real-world example, a two-dimensional correlation-based template-matching MATLAB application is considered. While this problem has a well known solution for the(More)
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