Name: Matrix multiplication with Objects
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_objects.py numberOfBlocks blockSize
where:
- numberOfBlocks: Number of blocks inside each matrix
- blockSize: Size of each block
Execution Examples
runcompss --lang=python src/matmul_objects.py 16 4
runcompss src/matmul_objects.py 16 4
python -m pycompss src/matmul_objects.py 16 4
Build
No build is required
Click and drag the diagram to pan, double click or use the controls to zoom.
Version History
COMPSs 3.3.pr (earliest) Created 27th Oct 2023 at 14:22 by Raül Sirvent
The run was done using COMPSs 3.3.pr, in a laptop (macOS)
Frozen
COMPSs-3.3.pr
8e4ee36
Creator
Additional credit
The Workflows and Distributed Computing Team (https://www.bsc.es/discover-bsc/organisation/scientific-structure/workflows-and-distributed-computing/)
Submitter
Views: 1628 Downloads: 230
Created: 27th Oct 2023 at 14:22
Last updated: 27th Oct 2023 at 14:28
None