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In this paper, we consider task-based dense linear algebra applications on a single heterogeneous node which contains regular CPU cores and a set of GPU devices. Efficient scheduling strategies are crucial in this context in order to achieve good and portable performance. HeteroPrio, a resource-centric dynamic scheduling strategy has been introduced in a previous work and evaluated for the special case of nodes with exactly two types of resources. However, this restriction can be limiting, fordoi:10.1109/hipc.2016.045 dblp:conf/hipc/BeaumontCEGK16 fatcat:bw37o6eubnai5eopba6kge3lra