Name
Abstract | ||
|---|---|---|
Now that large radiotelescopes like SKA, LOFAR, or ASKAP, become available in different parts of the world, radioastronomers foresee a vast increase in the amount of data to gather, store and process. To keep the processing time bounded, parallelization and execution on (massively) parallel machines are required for the commonly-used radioastronomy software kernels. In this paper, we analyze data gridding and degridding, a very time-consuming kernel of radioastronomy image synthesis. To tackle its its dynamic behavior, we devise and implement a parallelization strategy for the Cell/B.E. multi-core processor, offering a cost-efficient alternative compared to classical supercomputers. Our experiments show that the application running on one Cell/B.E. is more than 20 times faster than the original application running on a commodity machine. Based on scalability experiments, we estimate the hardware requirements for a realistic radio-telescope. We conclude that our parallelization solution exposes an efficient way to deal with dynamic data-intensive applications on heterogeneous multi-core processors. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1007/978-3-540-85451-7_80 | Euro-Par |
Keywords | Field | DocType |
radioastronomy image synthesis,dynamic data-intensive application,parallelization solution,original application,dynamic behavior,heterogeneous multi-core processor,commonly-used radioastronomy software kernel,classical supercomputers,parallelization strategy,multi-core processor,data grid,cost efficiency,radio telescope,multi core processor,dynamic data | Kernel (linear algebra),Supercomputer,Computer science,Parallel computing,Image synthesis,Software,LOFAR,Distributed computing,Bounded function,Scalability | Conference |
Volume | ISSN | Citations |
5168 | 0302-9743 | 7 |
PageRank | References | Authors |
0.64 | 10 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ana Lucia Varbanescu | 1 | 520 | 44.83 |
| Alexander S. van Amesfoort | 2 | 45 | 4.59 |
| Tim Cornwell | 3 | 52 | 5.03 |
| Andrew Mattingly | 4 | 7 | 0.64 |
| Bruce G. Elmegreen | 5 | 12 | 1.67 |
| rob van nieuwpoort | 6 | 436 | 38.32 |
| Ger van Diepen | 7 | 11 | 1.33 |
| Henk J. Sips | 8 | 1611 | 142.06 |