Abstract
The convolution backprojection (CBP) and Fourier inversion method (FIM) are popular tomographic image reconstruction techniques. However, the time required to reconstruct an image has been a major drawbacks associated with these techniques. We have designed a bus-based extended hypercube (BEH) that combines the positive features of both the bus-based systems and the hypercube. We have executed the CBP and FIM algorithms on a hypercube, extended hypercube and on BEH. The reasons for high speedup of the BEH for image reconstruction tasks could be attributed to fast collective communication and collective computation algorithms of BEH.
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© 1999 Springer-Verlag Berlin Heidelberg
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Rajan, K., Patnaik, L.M. (1999). Parallel Implementation of Tomographic Reconstruction Algorithms on Bus-Based Extended Hypercube. In: Banerjee, P., Prasanna, V.K., Sinha, B.P. (eds) High Performance Computing – HiPC’99. HiPC 1999. Lecture Notes in Computer Science, vol 1745. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-46642-0_41
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DOI: https://doi.org/10.1007/978-3-540-46642-0_41
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-66907-4
Online ISBN: 978-3-540-46642-0
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