? Parallelization
A Comprehensive Survey of Technologies for Building a Hybrid High Performance Intrusion Detection System
... of parallelization options in this area is an added ...the parallelization facilities available in the MapReduce to perform effective classification of network ...
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A Review of Parallelization Tools and Introduction to Easypar
... This paper discusses the issues of parallel programming, need of parallel programming tools, available tools and their limitationsWe have presented a detailed classification of the parallelization tools based on ...
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Performance Optimization and Parallelization of a Parabolic Equation Solver in Computational Ocean Acoustics on Modern Many core Computer
... At first, we only use MPI multi-process parallelization and each process is mapped into a physical CPU core in the simulation. The performance result is shown in Figure 7. We can observe that the running time of ...
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Automatic Parallelization using Open MP Directives
... Abstract-With the increase in the advent of parallel computing, it has become necessary to write OpenMP programs to achieve better speedup and to exploit parallel hardware efficiently. However, to achieve this, the ...
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Effects of Easy Hybrid Parallelization with CUDA for OpenMX
... elements. Parallelization decomposes this algorithm into n thread ...the parallelization with CUDA spends much more time whenever transferring between a GPU device and a CPU ...
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Automatic Parallelization for Parallel Architectures Using Smith Waterman Algorithm
... In this research work, the author has proposed a Smith Waterman algorithm based diagonal sequencing approach that could accomplish the higher rate sequencing with diagonal scheme. Here in this research work, the author ...
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AutOMP: An Automatic OpenMP Parallization Generator for Variable Oriented High Performance Scientific Codes
... for parallelization in the process of modernizing a legacy ...the parallelization of such code focuses on loop ...this parallelization is deciding which of the variables in the parallelized scope ...
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An Approach to Parallelization of SIFT Algorithm on GPUs for Real Time Applications
... The instruction execution hierarchy of GPUs consists of a set of streaming multiprocessors (SMs) with each SM containing multiple execution cores ( ) C . Based on the number of cores, each SM can concurrently execute a ...
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Parallelization of the AAE algorithm
... The parallelization of the exact algorithm is therefore, presumed to not improve the computation time over small alignments in principle based on both the size of those alignments and the predefined block ...
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Optimisation of ETL Process Using Partitioning and Parallelization Techniques
... and parallelization method is based on execution of multiple dataflow simultaneously proves useful in optimizing ETL performance by multithreading and optimal resource ...and parallelization concepts can be ...
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Parallelization Clonal Selection Algorithm with MPI NET for Optimization Problem
... Clonal selection algorithm first used to solve TSP in 2002 by Leandro and Von Zuben [9] with CLONALG, an algorithm that refers to the clonal selection theory. Some researchers conduct experiments and/or modifications to ...
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Parallel-in-Space-and-Time Simulation of the Three-Dimensional, Unsteady Navier-Stokes Equations for Incompressible Flow
... equations. Parallelization of time- stepping provides a new direction of parallelization and allows to employ additional cores to further speed up simulations after spatial parallelization has ...
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SCIP Jack A solver for STP and variants with parallelization extensions
... This section presents computational results for the PUC test set from SteinLib . However, it must be noted that the parallel version of SCIP-Jack can handle all of the variants presented throughout this paper. The main ...
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Parallel Calculation of the Electron Correlation Energy
... The methods to calculate EC are based on three different approaches: Configuration Interaction (CI), the Many Body Perturbation Theory and the Coupled Cluster (CC) theories [1]. Other works have proposed several ...
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Greedy feature construction
... proposed parallelization scheme is dominated by the cost of fitting a linear model and the whole algorithm runs in time O T n 3 + n 2 m + nmd , where T denotes the number of data passes ...
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Minibatch and Parallelization for Online Large Margin Structured Learning
... minibatch parallelization (minibatch size m = 8). (c) minibatch parallelization after load-balancing (within each ...minibatch parallelization (Gimpel et ...
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Parallelization of Definite Integration
... --------------------------------------------------------------------------------***------------------------------------------------------------------------------ Abstract - Many areas of science and technology has shown ...
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Parallelization of Definite Integration
... --------------------------------------------------------------------------------***------------------------------------------------------------------------------ Abstract - Many areas of science and technology has shown ...
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Parallelization of formal concept analysis algorithms
... Shared memory parallel machines can be programmed by generating threads, where each thread is executed on a separate core. Shared memory programming models such as ArBB, TBB, OpenMP, Intel Cilk Plus have a built in ...
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Parallelization of Diagnostics for Climate Model Development
... The parallelization of the diagnostics for climate research has been an important goal in the per- formance testing and improvement of the diagnostics for the Department of Energy’s (DOE’s) Ac- celerated Climate ...
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