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AITuning: Machine Learning-Based Tuning Tool for Run-Time Communication Libraries.

, and . PARCO, volume 36 of Advances in Parallel Computing, page 409-418. IOS Press, (2019)

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System-level monitoring of floating-point performance to improve effective system utilization., , , , , , and . SC State of the Practice Reports, page 5:1-5:6. ACM, (2011)AITuning: Machine Learning-Based Tuning Tool for Run-Time Communication Libraries., and . PARCO, volume 36 of Advances in Parallel Computing, page 409-418. IOS Press, (2019)Application Performance Impact on Trimming of a Full Fat Tree InfiniBand Fabric., , , , , , , , , and . HiPINEB@HPCA, page 49-54. IEEE Computer Society, (2016)Optimizing Communication and Synchronization in CAF Applications., , and . PARCO, volume 32 of Advances in Parallel Computing, page 191-200. IOS Press, (2017)Notified access in coarray-based hydrodynamics applications on many-core architectures: Design and performance., and . Parallel Comput., (2018)GISandbox: A Science Gateway for Geospatial Computing., , , and . PEARC, page 44:1-44:7. ACM, (2018)Notified access in coarray fortran., and . EuroMPI/USA, page 12:1-12:7. ACM, (2017)The NWSC benchmark suite using scientific throughput to measure supercomputer performance., , , , and . SC State of the Practice Reports, page 7:1-7:5. ACM, (2011)Advanced user environment design and implementation on integrated multi-architecture supercomputers., , , , , , , and . XSEDE, page 33:1-33:8. ACM, (2015)Traps, Pitfalls and Misconceptions of Machine Learning applied to Scientific Disciplines., and . PEARC, page 75:1-75:8. ACM, (2019)