Arquitectura de Computadores y Automática
Departamento
University of Hamburg
Hamburgo, AlemaniaPublicaciones en colaboración con investigadores/as de University of Hamburg (6)
2016
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An analytical methodology to derive power models based on hardware and software metrics
Computer Science - Research and Development, Vol. 31, Núm. 4, pp. 165-174
2015
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Balancing task- and data-level parallelism to improve performance and energy consumption of matrix computations on the Intel Xeon Phi
Computers and Electrical Engineering, Vol. 46, pp. 95-111
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Evaluating the performance and energy efficiency of the COSMO-ART model system
Computer Science - Research and Development, Vol. 30, Núm. 2, pp. 177-186
2014
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Assessing power monitoring approaches for energy and power analysis of computers
Sustainable Computing: Informatics and Systems, Vol. 4, Núm. 2, pp. 68-82
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Automatic detection of power bottlenecks in parallel scientific applications
Computer Science - Research and Development
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Enhancing performance and energy consumption of runtime schedulers for dense linear algebra
Concurrency Computation Practice and Experience