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A detailed analysis of OpenMP runtime configurations for power constrained systems.

, , , and . IGSC, page 1-8. IEEE Computer Society, (2017)

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OpenMP Advisor: A Compiler Tool for Heterogeneous Architectures., , , and . IWOMP, volume 14114 of Lecture Notes in Computer Science, page 34-48. Springer, (2023)COMPOFF: A Compiler Cost model using Machine Learning to predict the Cost of OpenMP Offloading., , , , , and . IPDPS Workshops, page 391-400. IEEE, (2022)False Sharing Detection in OpenMP Applications Using OMPT API., , , and . IWOMP, volume 9342 of Lecture Notes in Computer Science, page 102-114. Springer, (2015)Toward Supporting Multi-GPU Targets via Taskloop and User-Defined Schedules., , , , , and . IWOMP, volume 12295 of Lecture Notes in Computer Science, page 295-309. Springer, (2020)Solution of an outstanding conjecture: the non-existence of universal cycles with k=n-2., , , , , , , , , and . Discret. Math., 258 (1-3): 193-204 (2002)ARCS: Adaptive Runtime Configuration Selection for Power-Constrained OpenMP Applications., , , , , , and . CLUSTER, page 461-470. IEEE Computer Society, (2016)OpenMP Task Scheduling Analysis via OpenMP Runtime API and Tool Visualization., , and . IPDPS Workshops, page 1049-1058. IEEE Computer Society, (2014)Performance and energy impact of OpenMP runtime configurations on power constrained systems., , , and . Sustain. Comput. Informatics Syst., (2019)Adaptive OpenMP Task Scheduling Using Runtime APIs and Machine Learning., , and . ICMLA, page 889-895. IEEE, (2015)Power and energy footprint of openMP programs using OpenMP runtime API., , , and . E2SC@SC, page 79-88. IEEE Computer Society, (2014)