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并行矩阵乘法。用于mpi和openMP混合并行求解矩阵乘法问题。适用于分布共享存储cluster环境。无解压密码。-parallel matrix multiplication. OpenMP for mixed MPI and parallel matrix multiplication to solve the problem. Distribution applicable to the shared storage cluster environment. Without extract
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并行编程,利用MPI实现向量与矩阵的乘法运算-Parallel programming using MPI to achieve vector and matrix multiplication
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矩阵并行算法程序,用c#语言编制,可用于数学并行计算。-Matrix parallel algorithm procedures, with c# Languages can be used in parallel computing mathematics.
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介绍行列划分算法和矩阵相乘并行算法M P I 程序, 给出基于矩阵相乘并行算法的M P I 实现, 分析和讨
论处理器数目、复杂性、矩阵划分、B 子块传递、死锁避免和矩阵数据的获取等问题.-Introduction into the ranks of the matrix multiplication algorithm and parallel algorithm for MPI procedures, give parallel algorithm based on matrix mul
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CAPI多核编程算法库0.21版,里面有分布式队列、分布式查找、分布式内存管理、任务图调度、动态任务调度等多种容器,新增了CWaitTaskScheduler任务调度容器和并行Strassen矩阵乘法等。-CAPI programming algorithm for multi-core library version 0.21, which are distributed queue, distributed search, distributed memory management, tas
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基于MPI并行程序的任意矩阵矩阵相乘,其中由主程序负责矩阵的输入输出,在本程序中便于测试默认一个矩阵。-MPI parallel programs based on an arbitrary matrix matrix multiplication, which is responsible for the main input and output matrices, in this process easy to test the default of a matrix.
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Parallel Sparse Matrix Multiplication source code implemented using x10 language (http://x10-lang.org/).
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Parallel Matrix Multiplication Algorithms on Hypercube Multiprocessors. three parallel algorithms for matrix multiplication-Parallel Matrix Multiplication Algorithms on Hypercube Multiprocessors. three parallel algorithms for matrix multiplication
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Matrix multiplication is a ubiquitous algorithm and no parallel library is complete without a matrix multiplication sample. Moth has described this previously - see Matrix Multiplication with C++ AMP for serial and C++ AMP non-tiled version and also
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采用MPI+OpenMP混合模型设计并实现光化学反应双层并行模拟算法,上层基于MPI实现节点间的原子分解并行,下层基于OpenMP实现节点内的多线程矩阵并行乘法。-With MPI+OpenMP mixed model was designed and implemented The photochemical reaction bunk parallel simulation algorithms, the upper atomic decomposition based on inter-n
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用MPI编写的实现并行的矩阵相乘的程序,在VC6.0下通过运行-To achieve a parallel matrix multiplication
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A parallel program for the multiplication of two 5x5 matrices by using drived data types.Choose 6 nodes in the run time and each row of the resultant matrix should be calculated by one of the nodes. Create your matrixes only in the master node and us
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矩阵相乘的LU算法,采用行连续划分策略,MPI并行实现。-LU matrix multiplication algorithm, using line continuous partitioning strategy, MPI parallel implementation.
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MPI带状划分矩阵乘法 MPI文件并行读写-MPI the striping matrix multiplication MPI parallel read and write files
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矩阵相乘并行计算方法,基于OPENCL通用计算接口。-Parallel matrix multiplication calculation method, based OPENCL general computing interface.
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稀疏矩阵的DIA/ELLPACK/COO/CSR/HYB表示形式,以及各表示形式下的稀疏矩阵乘法(稀疏大矩阵*矢量)的CUDA实现。对于矩阵中每一行稀疏元素个数较统一的情况,ELLPACK表示最佳,其次是HYB(ELL+COO)。
CUDA™ 是一种由NVIDIA推出的通用并行计算架构,该架构使GPU能够解决复杂的计算问题。 它包含了CUDA指令集架构(ISA)以及GPU内部的并行计算引擎。 开发人员现在可以使用C语言来为CUDA™ 架构编写程序-Sparse matri
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矩阵相乘的并行运算的算法,运算效率可以轻松提高近100倍。是进行人工智能研究及深度学习先关研究的必备并行算法。(The algorithm of parallel operation of matrix multiplication can easily increase the operation efficiency by nearly 100 times. It is a necessary parallel algorithm for the study of artificial in
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