Reducing Energy Consumption of Dense Linear Algebra Operations on Hybrid CPU-GPU Platforms

We investigate the balance between the time-to-solution and the energy consumption of a task-parallel execution of the Cholesky and LU factorizations on a hybrid platform, equipped with a multi-core processor and several GPUs. To improve energy efficiency, we incorporate two energy-saving techniques...

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Veröffentlicht in:	2012 IEEE 10th International Symposium on Parallel and Distributed Processing with Applications S. 56 - 62
Hauptverfasser:	Alonso, P., Dolz, M. F., Igual, F. D., Mayo, R., Quintana-Orti, E. S.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.07.2012
Schlagworte:	dense linear algebra Energy consumption Energy-aware algorithms Graphics processing unit graphics processors high performance computing Kernel Linear algebra multi-core processors Multicore processing Runtime
ISBN:	1467316318, 9781467316316
ISSN:	2158-9178
Online-Zugang:	Volltext
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