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A significance-driven programming framework for energy-constrained approximate computing., , , , , , , and . Conf. Computing Frontiers, page 9:1-9:8. ACM, (2015)AllScale toolchain pilot applications: PDE based solvers using a parallel development environment., , , , , , , , , and 6 other author(s). Comput. Phys. Commun., (2020)Significance-Aware Program Execution on Unreliable Hardware., , , , and . ACM Trans. Archit. Code Optim., 14 (2): 12:1-12:25 (2017)A programming model and runtime system for significance-aware energy-efficient computing., , , , , , , and . PPoPP, page 275-276. ACM, (2015)Automating data management in heterogeneous systems using polyhedral analysis., , and . Panhellenic Conference on Informatics, page 317-322. ACM, (2015)Towards an Approximation-Aware Computational Workflow Framework for Accelerating Large-Scale Discovery Tasks., and . CoRR, (2022)Energy-Aware Learning Agent (EALA) for Disaggregated Cloud Scheduling., , , , and . CLOUD, page 578-583. IEEE, (2021)A Programming Model and Runtime System for Significance-Aware Energy-Efficient Computing., , , , , , , and . CoRR, (2014)Exploiting Significance of Computations for Energy-Constrained Approximate Computing., , , , , , , and . Int. J. Parallel Program., 44 (5): 1078-1098 (2016)Artificial neural networks for online error detection., , , , and . CoRR, (2021)