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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kajiyama, T. D'Alimonte, D. Cunha, J.C. |
| Copyright Year | 2012 |
| Abstract | Statistical performance tuning of a parallel Monte Carlo (MC) radiative transfer code for ocean color (OC) applications is presented. A low observed-to-peak performance ratio due to highly sparse computations is compensated by online and offline tuning techniques based on a statistical indicator of products accuracy. Run-time adaptive control employs the accuracy indicator to set up two complementary tuning criteria: one general to MC computations and the other specific to OC applications. The same accuracy indicator is also used for pre-execution tuning of a threshold parameter. Numerical simulations of real case scenarios showed that the proposed methods consistently led to faster runs, while satisfying application accuracy requirements. Specifically, speed-ups range from 2.17 to 7.44 times when compared with the un-optimized version of the MC code. The applied techniques are orthogonal to parallelization, so that the reported performance gains are further amplified by parallel speed-ups. |
| Starting Page | 761 |
| Ending Page | 766 |
| File Size | 361180 |
| Page Count | 6 |
| File Format | |
| ISBN | 9780769548791 |
| e-ISBN | 9780769548791 |
| DOI | 10.1109/PDCAT.2012.125 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-12-14 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Photonics Radiometry Tuning Accuracy Adaptation models Trajectory Sea surface Problem-solving environment High-performance computing Adaptive computing |
| Content Type | Text |
| Resource Type | Article |
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