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In order to validate the algorithm proposed, the unorganized point cloud was obtained by a 3D scanner and then reconstructed using the parallel computing region-growing algorithm.
And when we have a larger amount of data (grid points), the influence of the loop body execution is greater than that of the data communication, meaning that using the parallel computing is more effective.
W.C. Wheeler (AMNH) granted access and logistical support for using the parallel computing cluster.
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Finally, multiple threads executed in parallel using the Matlab "Parallel computing toolbox," enhancing speed of computation.
The algorithm implementation makes use of a computing environment that uses the parallel distributed computing message passing interface (MPI) and specialized vector-matrix class representations, as implemented in the third-party software package, OOPS.
Application of the perturbation method of multiple scales to vibration problems in engineering is considered, and parallel implementation of this method on a multi-processor computer using the Mathematica Parallel Computing Toolkit is discussed.
Code portability, reusability and scalability have been tested by using the following parallel computing architectures: distributed memory with massive parallel processors and two networks, INFINIBAND and Myrinet, composed of 17 and 1024 nodes respectively.
Software hMETIS is used to partition the hypergraph, and software SUNDIALS is used to support the parallel computing of fuzzy differential equations.
Up to the present, variant improved KMGA implementations have been successfully realized using the recent parallel computing techniques.
This search protocol was implemented on graphics processing units (GPUs) using the available parallel computing capability to reduce the search time by several orders of magnitude compared to single-core CPU-based computation.
OpenSWPC adopts a domain-partitioning procedure for the parallel computing using MPI.
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