Name
Abstract | ||
|---|---|---|
In this paper we present our work on the the parallelization of a matrix multiplication code based on the hypermatrix data structure. We have used OpenMP for the parallelization. We have added OpenMP directives to a few loops and experimented with several features available with OpenMP in the Intel Fortran Compiler: scheduling algorithms, chunk sizes and nested parallelism. We found that the load imbalance introduced by the hypermatrix structure could not be solved by any of those OpenMP features. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11752578_16 | PPAM |
Keywords | Field | DocType |
nested parallelism,openmp feature,intel fortran compiler,hypermatrix data structure,matrix multiplication code,load imbalance,parallel hypermatrix multiplication,chunk size,openmp directive,hypermatrix structure,data structure,scheduling algorithm,matrix multiplication | Data structure,Shared memory,Computer science,Parallel algorithm,Parallel computing,Fortran,Compiler,Multiprocessing,Multiplication,Matrix multiplication | Conference |
Volume | ISSN | ISBN |
3911 | 0302-9743 | 3-540-34141-2 |
Citations | PageRank | References |
0 | 0.34 | 10 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| José R. Herrero | 1 | 94 | 16.90 |
| Juan J. Navarro | 2 | 323 | 42.90 |