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Tools and methods for measuring and tuning the energy efficiency of HPC systems., , , , , , and . Scientific Programming, 22 (4): 273-283 (2014)Application Runtime Variability and Power Optimization for Exascale Computers., , , , , and . ROSS@HPDC, page 3:1-3:8. ACM, (2015)A comparative study of high-performance computing on the cloud., , , , , , and . HPDC, page 239-250. ACM, (2013)Power Balancing in an Emulated Exascale Environment., , , and . IPDPS Workshops, page 1142-1149. IEEE Computer Society, (2016)A Run-Time System for Power-Constrained HPC Applications., , , , , and . ISC, volume 9137 of Lecture Notes in Computer Science, page 394-408. Springer, (2015)Implicit java array bounds checking on 64-bit architecture., , , and . ICS, page 227-236. ACM, (2004)PaViz: A Power-Adaptive Framework for Optimizing Visualization Performance., , , and . EGPGV, page 1-10. Eurographics Association, (2017)Iso-Power-Efficiency: An Approach to Scaling Application Codes with a Power Budget., , and . IPDPS Workshops, page 905-910. IEEE Computer Society, (2015)Abstract: Three Steps to Model Power-Performance Efficiency for Emergent GPU-Based Parallel Systems., , , and . SC Companion, page 1344-1345. IEEE Computer Society, (2012)Dynamic Binary Instrumentation and Data Aggregation on Large Scale Systems., , , , , , and . International Journal of Parallel Programming, 35 (3): 207-232 (2007)