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Improving Energy Consumption in Iterative Problems Using Machine Learning.

, , , and . PPAM (2), volume 12044 of Lecture Notes in Computer Science, page 134-143. Springer, (2019)

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Dynamic load balancing on heterogeneous multi-GPU systems., , and . Comput. Electr. Eng., 39 (8): 2591-2602 (2013)A Dynamic Multi-Objective Approach for Dynamic Load Balancing in Heterogeneous Systems., , , and . IEEE Trans. Parallel Distributed Syst., 31 (10): 2421-2434 (2020)Modelling Superlinear Speedup on Distributed Memory Multiprocessors., , , , , and . PARCO, page 689-692. (1997)Energy Measurement Tools for Ultrascale Computing: A Survey., , , and . Supercomput. Front. Innov., 2 (2): 64-76 (2015)Lightweight Web Services for High Performace Computing., , and . ECSA, volume 4758 of Lecture Notes in Computer Science, page 225-236. Springer, (2007)Performance Prediction for Parallel Iterative Solvers., , , , , , and . International Conference on Computational Science (2), volume 2330 of Lecture Notes in Computer Science, page 923-932. Springer, (2002)Web services based scheduling in OpenCF., , , and . J. Supercomput., 58 (2): 168-176 (2011)A heuristic technique to improve energy efficiency with dynamic load balancing., , , and . J. Supercomput., 75 (3): 1610-1624 (2019)Web Services Based Platform for the Cell Counting Problem., , , and . Euro-Par Workshops (1), volume 8805 of Lecture Notes in Computer Science, page 83-92. Springer, (2014)Automatic parameter assessment of logp-based communication models in MPI environments., , , , and . ICCS, volume 1 of Procedia Computer Science, page 2155-2164. Elsevier, (2010)