Abstract:Algebraic factorization methods applied to the discipline of Computerized Tomography (CT) Medical Imaging Reconstruction involve a high computational cost. Since these techniques are significantly slower than the traditional analytical ones and time is critical in this field, we need to employ parallel implementations in order to exploit the machine resources and obtain efficient reconstructions.In this paper, we analyze the performance of the sparse QR decomposition implemented on SuiteSparseQR factorization … Show more
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