Abstract
We discuss how power management development in multi-core processors to achieve higher performance using automatic frequency scaling can cause artifacts when doing performance comparisons and give pessimistic efficiency estimates for algorithms. Overclocking also causes underestimates of the theoretical peak performance of the CPU as can be seen in some cases on the TOP500 list. We show that overclocking capabilities, when available, must be taken into account in thread scheduling for better overall performance.
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Linde, M. (2013). Multi-core Scalability Measurements: Issues and Solutions. In: Manninen, P., Öster, P. (eds) Applied Parallel and Scientific Computing. PARA 2012. Lecture Notes in Computer Science, vol 7782. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36803-5_23
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DOI: https://doi.org/10.1007/978-3-642-36803-5_23
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