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| Content Provider | ACM Digital Library |
|---|---|
| Author | Sandu, Adrian Linford, John C. |
| Abstract | The performance of a typical chemical transport model is determined on two multicore processors: the heterogeneous Cell Broadband Engine and the homogeneous Intel Quad-Core Xeon shared-memory multiprocessor. Two problem decomposition techniques are discussed: dimension splitting for promoting parallelization in chemical transport models, and time splitting, for reducing truncation error. Additionally, a scalable method for accessing random rows or columns of a matrix of arbitrary size from the accelerator units of the Cell Broadband Engine is presented. This scalable access method increases chemical transport model efficiency by an average of 30% and significantly improves the scalability of dimension-splitting techniques on the Cell Broadband Engine. Experiments show that chemical transport models are 31% more efficient on the Cell Broadband Engine when only six accelerator units are used than on a shared-memory multiprocessor with eight executing cores. Our fully-optimized models achieve an average 118% speedup on the Cell Broadband Engine, and an average 87.5% speedup on a shared-memory multiprocessor with OpenMP. |
| Starting Page | 369 |
| Ending Page | 376 |
| Page Count | 8 |
| File Format | |
| ISBN | 1565553195 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2008-04-14 |
| Publisher Place | San Diego |
| Access Restriction | Subscribed |
| Subject Keyword | Multicore Scalability Ibm cell broadband engine Chemical transport model Intel quad-core xeon Domain decomposition Time splitting |
| Content Type | Text |
| Resource Type | Article |
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