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The wide adoption of Chip Multiprocessors (CMPs) in almost all ICT segments has triggered a change in the way software needs to be developed. Parallel programming maximizes the performance and energy efficiency of CMPs, but also comes with a new set of challenges. Parallelization overheads can account for sub-linear speedups and can increase the energy consumption of applications. In past experiments we looked at specific operations such as spawning new tasks, dequeuing the task queue and taskdoi:10.1016/j.sysarc.2015.07.004 fatcat:pwn46qgwhbc53bowdgglegmmhu