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The Max Min Ant System (MMAS) algorithm augmented with 3-opt local search is used as a framework for the implementation of the parallel ants and multiple ant colonies general parallelization approaches.
A distributed implementation of the parallel algorithm is carried out using MPI and PETSc parallel libraries.
The design and implementation of the parallel testing system are described in detail.
The performances of our implementation of the parallel code on an Origin 2000 supercomputer are presented and discussed.
A run-time reconfigurable field programmable gate array (FPGA) system is presented for the implementation of the parallel independent component analysis (ICA) algorithm.
We present an OpenMP based implementation of the parallel algorithm in a new multithreaded solver called Basker in the Trilinos framework.
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Hadoop is an open-source implementation of the MapReduce parallel programming paradigm and is supported by the open-source community.
Table 1 compares the execution times of the parallel implementations of the microscopic versus the discrete models.
Finally, we present a new, easily comprehensible and fully stand-alone implementation in C++ of the parallel algorithm.
The implementation of the method on parallel architectures is discussed.
In this paper, we introduce a Java implementation of the Bulk Synchronous Parallel (BSP) model.
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