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Multicore computing presents unique challenges for performance and power optimizations due to the multiplicity of cores and the complexity of interactions between the hardware resources. Understanding multicore power and its implications on application behavior is critical to the future of multicore software development. In this paper, we propose Watts-inside, a hardwaresoftware cooperative framework that relies on the efficiency of hardware support to accurately gather application powerdoi:10.1109/iccd.2013.6657062 dblp:conf/iccd/0020YV13 fatcat:ewq7nzbul5dlrbasbaymjqlz6e