PyCOMPSs Matrix Multiplication, out-of-core using files

**Name:** Matrix multiplication with Files **Contact Person**: support-compss@bsc.es **Access Level**: public **License Agreement**: Apache2 **Platform**: COMPSs # Description Matrix multiplication is a binary operation that takes a pair of matrices and produces another matrix. If A is an n×m matrix and B is an m×p matrix, the result AB of their multiplication is an n×p matrix defined only if the number of columns m in A is equal to the number of rows m in B. When multiplying A and B, the elements of the rows in A are multiplied with corresponding columns in B. In this implementation, A and B are square matrices (same number of rows and columns), and so it is the result matrix C. Each matrix is divided in N blocks of M doubles. The multiplication of two blocks is done by a multiply task method with a simple three-nested-loop implementation. When executed with COMPSs, the main program generates N^3^ tasks arranged as N^2^ chains of N tasks in the dependency graph. # Execution instructions Usage: ``` runcompss --lang=python src/matmul_files.py numberOfBlocks blockSize ``` where: * numberOfBlocks: Number of blocks inside each matrix * blockSize: Size of each block # Execution Examples ``` runcompss --lang=python src/matmul_files.py 4 4 runcompss src/matmul_files.py 4 4 python -m pycompss src/matmul_files.py 4 4 ``` # Build No build is required

Publisher
[<#ROCrate::Organization https://ror.org/05sd8tv96 @properties={"@id"=>"https://ror.org/05sd8tv96", "@type"=>"Organization", "name"=>"Barcelona Supercomputing Center"}>]
License
Apache-2.0

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