Trading Off Performance for Energy in Linear Algebra Operations with Applications in Control Theory
We analyze the performance-power-energy balance of a conventional Intel Xeon mul- ticore processor and two low-power architectures –an Intel Atom processor and a sys- tem with a quad-core ARM Cortex A9+NVIDIA Quadro 1000M– using a high perfor- mance implementation of Gauss-Jordan elimination...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Centro Latinoamericano de Estudios en Informática
2014-04-01
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| Series: | CLEI Electronic Journal |
| Online Access: | http://www.clei.org/cleiej-beta/index.php/cleiej/article/view/99 |
| Summary: | We analyze the performance-power-energy balance of a conventional Intel Xeon mul- ticore processor and two low-power architectures –an Intel Atom processor and a sys- tem with a quad-core ARM Cortex A9+NVIDIA Quadro 1000M– using a high perfor- mance implementation of Gauss-Jordan elimination (GJE) for matrix inversion. The blocked version of this algorithm employed in the experimental evaluation mostly com- prises matrix-matrix products, so that the results from the evaluation carry beyond the simple matrix inversion and are representative for a wide variety of dense linear algebra operations/codes.
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| ISSN: | 0717-5000 |