This technical report contains a case study of a sparse matrix-vector product routine, implemented for parallel execution on a compute cluster with both pure MPI and hybrid MPI-OpenMP solutions. C++ classes for sparse data types were developed and the report shows how these class can be used, as well as performance results for different cases, i.e. different types of sparse matrices.
|Technical University of Denmark (DTU)
|Udgivet - 2012