Most parallel matrix multiplication algorithms use matrix decomposition based on square root of the number of processors available. In this reserch, a grid enabled PC Cluster based on Windows OS integrating the DeskGrid API to communicate among the processors is u The tasks are allocated to the ...
Computationally efficient parallel matrix-matrix multiplication on the torus In one group, matrix C remains and both matrices A and B are shifted between neighbor processors. The well-known Cannon's algorithm belongs to this ... SG Sedukhin,AS Zekri - International Symposium on High-performance ...
How to: Write a parallel_for Loop Shows how to use the parallel_for algorithm to perform matrix multiplication. How to: Write a parallel_for_each Loop Shows how to use the parallel_for_each algorithm to compute the count of prime numbers in a std::array object in parallel. How to: Use...
Large Scale Computing, Massive Data, Parallel Computing, Distributed Computing, Matrix Multiplication Full-Text Cite this paper Add to My Lib Abstract: 随着科学研究和工程计算的发展,大规模计算和模拟已经无法避免。这些大规模计算往往涉及海量数据的运算和处理,因此并行计算被用来一方面解决大规模的快速计算...
We give out the principle of matrix parallel computing.We describe the algorthm with JAVA Language,and analysis it into excellence.The program expressed the good charateristic in a computer with many CPUs.In the text we give out a kind of new way of thinking:use the JAVA multi-threading to...
Matrix multiplication is one of the most fundamental algorithmic problems in numerical linear algebra, distributed computing, scientific computing, and high-performance computing. Parallelization of matrix multiplication has been extensively studied (e.g., [21, 12, 24, 2, 51, 39, 36, 23, 45, 61...
How to: Write a parallel_for LoopShows how to use theparallel_foralgorithm to perform matrix multiplication. How to: Write a parallel_for_each LoopShows how to use theparallel_for_eachalgorithm to compute the count of prime numbers in astd::arrayobject in parallel. ...
How to: Write a parallel_for LoopShows how to use theparallel_foralgorithm to perform matrix multiplication. How to: Write a parallel_for_each LoopShows how to use theparallel_for_eachalgorithm to compute the count of prime numbers in astd::arrayobject in parallel. ...
A.K. Chandra Maximal parallelism in matrix multiplication Report RC-6193, IBM T.J. Watson Research Center, Yorktown Heights, NY (1976) Google Scholar [6] D. Coppersmith, S. Winograd Matrix multiplication via arithmetic progressions Proc. 19th Ann. ACM Symp. on Theory of Computing (1987), ...
To multiply two matrices together you can call eithermultiplyorpmultiplyif you wish to do the multiplication in parallel. iex>matrix_a=[[2,3],[3,5]][[2,3],[3,5]]iex>matrix_b=[[1,2],[5,-1]][[1,2],[5,-1]]iex>ExMatrix.multiply(matrix_a,matrix_b)[[17,1],[28,1]] ...