| Autor: |
Andreas Tausendfreund, Gert Goch, L. Rockstroh, Jurgen Hillebrand, Stefan Patzelt, A. Balevic, Wenbin Li, Sven Simon |
| Rok vydání: |
2008 |
| Předmět: |
|
| Zdroj: |
CIT |
| Popis: |
Modern massively parallel graphics cards (GPGPUs) offer a promise of dramatically reducing computation times of numerically-intensive data-parallel algorithms. As cards that are easily integrated into desktop PCs, they can bring computational power previously reserved for computer clusters to the office space. High performance rates make GPGPUs a very attractive target platform for scientific simulations. In this paper we present the lessons learned during the parallelization of a finite-difference time-domain method, an inherently data-parallel algorithm frequently used for numerical computations, on the state of the art graphics hardware. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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