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Regina Maria Jankowitsch variety of applications, without much customization to individual specific requirements. Little or no guiding information flows directly from the application to the run-time system to allow the latter to fully tailor its services to the application. As a result, the performance is disappointing. To

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Regina Maria Jankowitschh highly-irregular workloads that are not known a priori to the scheduler. This scheduler can parallelize loops and operations expressible with a parallel reduce or a parallel scan. The scheduler is based on the work-stealing tree data structure, which allows workers to decide on the work division i

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Regina Maria Jankowitschde correctness and decide whether or not an error has occurred. The replicated instructions and the checks cause a large slowdown. In this work, we focus on reducing the error detection overhead and improving the system’s performance without degrading fault-coverage. DRIFT achieves this by . the exe