Abstract
Multi-core processors are increasingly considered as execution platforms for embedded systems because of their good performance/energy ratio. However, the interference on shared resources poses several problems. It may severely reduce the performance of tasks executed on the cores, and it increases the complexity of timing analysis and/or decreases the precision of its results. In this paper, we survey recent work on the impact of shared buses, caches, and other resources on performance and performance prediction. © 2013 Springer-Verlag.
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CITATION STYLE
Abel, A., Benz, F., Doerfert, J., Dörr, B., Hahn, S., Haupenthal, F., … Wilhelm, R. (2013). Impact of resource sharing on performance and performance prediction: A survey. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8052 LNCS, pp. 25–43). https://doi.org/10.1007/978-3-642-40184-8_3
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