A Comparison of Three Parallel Algorithms for 3D Reconstruction
HPCN Europe 2001 Proceedings of the 9th International Conference on High-Performance Computing and Networking
Genetic Economy, Symmetry, and Computational Complexity for Atomic Virus Structure Determination
IPDPS '02 Proceedings of the 16th International Parallel and Distributed Processing Symposium
Euro-Par '00 Proceedings from the 6th International Euro-Par Conference on Parallel Processing
A computational framework for the 3D structure determination of viruses with unknown symmetry
Journal of Parallel and Distributed Computing - High-performance computational biology
International Journal of Bioinformatics Research and Applications
A parallel 3D piecewise constant reconstruction algorithm for asymmetric virus structures
ICCS'03 Proceedings of the 1st international conference on Computational science: PartI
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We present new parallel algorithms for 3D reconstruction of objects from 2D projections and their application for the determination of the structure of macromolecules from electron micrographs. A multi-resolution orientation determination algorithm uses a parallel search to determine the `best fit' of a given image with images in a reference database. The 3D reconstruction algorithm uses Cartesian coordinates and permits the reconstruction of objects that do not posses symmetries. The method decomposes a large linear system into a set of smaller systems that can be solved independently on different processors of a parallel computer or on a cluster of workstations. The paper outlines the reconstruction process and the data partitioning and load balancing issues pertinent to the parallel implementation of the algorithm; preliminary results obtained on a SGI Origin 2000 system are given.