Parallel SpGEMM
From Cs240aproject
| Line 8: | Line 8: | ||
The project is to write a 2D parallel implementation of the sparse matrix times sparse matrix routine. It is projected to be implemented in C++ using MPI. The project will have multiple iterations: | The project is to write a 2D parallel implementation of the sparse matrix times sparse matrix routine. It is projected to be implemented in C++ using MPI. The project will have multiple iterations: | ||
| - | 1) The simplest decomposition is the regular | + | 1) The simplest decomposition is the regular block checkerboard partitioning [http://www.parallab.uib.no/projects/molecul/matrix/main/node12.html]. Here we assume assumes the existence of a fast sequential algorithm for sparse matrix multiplication that is used as a block box. |
| + | 2) The second way to decompose to data is to try assigning equal number of edges to each processor. The initial idea is to map each non-zero of the matrix to a point in the rectangular (m x n) region and use a quadtree data structure. Here one may or may not use a sequential matrix multiplication as block box. | ||
Revision as of 08:43, 9 May 2007
This is the Spring 2007 project of Aydin Buluc and Fenglin Liao.
Project Description
The project is to write a 2D parallel implementation of the sparse matrix times sparse matrix routine. It is projected to be implemented in C++ using MPI. The project will have multiple iterations:
1) The simplest decomposition is the regular block checkerboard partitioning [1]. Here we assume assumes the existence of a fast sequential algorithm for sparse matrix multiplication that is used as a block box. 2) The second way to decompose to data is to try assigning equal number of edges to each processor. The initial idea is to map each non-zero of the matrix to a point in the rectangular (m x n) region and use a quadtree data structure. Here one may or may not use a sequential matrix multiplication as block box.
