Abstract | ||
---|---|---|
Nowadays, the rapid development of the SMP clusters provide a meaningful solution to enormously improve the ability for solving large scale problems in which MPI and Open MP mixed programming mode is used. In this paper, we present a hybrid programming implementation in Multilevel Fast Multipole Algorithm (MLFMA) to compute electro-magnetic scattering from extremely large targets. Message passing communication is employed by MPI to achieve coarse-grained parallelism between nodes, while shared memory communication is implemented by Open MP within node to achieve fine-grained parallelism. It has been proved by experiments that this hybrid programming method could reduce not only the running time of the parallel MLFMA, but also the occupancy of memory space. |
Year | DOI | Venue |
---|---|---|
2012 | 10.1109/ICIS.2012.58 | ACIS-ICIS |
Keywords | Field | DocType |
hybrid programming implementation,large target,hybrid programming method,large scale problem,smp cluster architecture,parallel mlfma,bicg method,open mp,fine-grained parallelism,open mp mixed programming,coarse-grained parallelism,memory space,parallel programming,message passing,memory management,electro magnetic,computational electromagnetics,parallel processing,parallel,vectors,shared memory | Cluster (physics),Architecture,Computational electromagnetics,Shared memory,Computer science,Parallel computing,Smp cluster,Memory management,Hybrid programming,Message passing | Conference |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Huailiang Xuan | 1 | 0 | 0.34 |
Weiqin Tong | 2 | 159 | 29.88 |
Yue Hu | 3 | 108 | 13.42 |
Zhi-xun Gong | 4 | 2 | 1.09 |
Yan Hou | 5 | 45 | 8.00 |