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Artificial neural networks for online error detection., , , , и . CoRR, (2021)Dynamic Undervolting to Improve Energy Efficiency on Multicore X86 CPUs., , , , и . IEEE Trans. Parallel Distributed Syst., 31 (12): 2851-2864 (2020)A Programming Model and Runtime System for Significance-Aware Energy-Efficient Computing., , , , , , , и . CoRR, (2014)Scheduling Policies for Heterogeneous, Approximate Computing Systems., , , и . PCI, стр. 43:1-43:6. ACM, (2017)Significance driven computation on next-generation unreliable platforms., , , , , и . DAC, стр. 290-291. ACM, (2011)Exploiting Significance of Computations for Energy-Constrained Approximate Computing., , , , , , , и . Int. J. Parallel Program., 44 (5): 1078-1098 (2016)Increasing the Profit of Cloud Providers through DRAM Operation at Reduced Margins., , , , , и . CCGRID, стр. 549-558. IEEE, (2020)MiniSymposium on Edge Computing., и . PARCO, том 32 из Advances in Parallel Computing, стр. 783. IOS Press, (2017)Scheduling Algorithms for Effective Thread Pairing on Hybrid Multiprocessors., , и . IPDPS, IEEE Computer Society, (2005)A Framework for Evaluating Software on Reduced Margins Hardware., , , , , и . DSN, стр. 330-337. IEEE Computer Society, (2018)