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Automatic Performance Modeling of HPC Applications.

, , , , , , , , , and 1 other author(s). Software for Exascale Computing, volume 113 of Lecture Notes in Computational Science and Engineering, Springer, (2016)

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Extending Scalasca's Analysis Features., , , , and . Parallel Tools Workshop, page 115-126. Springer, (2012)Engineering Algorithms for Scalability through Continuous Validation of Performance Expectations., , , , , and . IEEE Trans. Parallel Distrib. Syst., 30 (8): 1768-1785 (2019)Catwalk: A Quick Development Path for Performance Models., , , , , , , , and . Euro-Par Workshops (2), volume 8806 of Lecture Notes in Computer Science, page 589-600. Springer, (2014)10, 000 Performance Models per Minute - Scalability of the UG4 Simulation Framework., , , , , , and . Euro-Par, volume 9233 of Lecture Notes in Computer Science, page 519-531. Springer, (2015)How Many Threads will be too Many? On the Scalability of OpenMP Implementations., , , , , , and . Euro-Par, volume 9233 of Lecture Notes in Computer Science, page 451-463. Springer, (2015)Exascaling Your Library: Will Your Implementation Meet Your Expectations?, , , , and . ICS, page 165-175. ACM, (2015)Automated Performance Modeling of the UG4 Simulation Framework., , , , , , and . Software for Exascale Computing, volume 113 of Lecture Notes in Computational Science and Engineering, Springer, (2016)Further Improving the Scalability of the Scalasca Toolset., , , , , and . PARA (2), volume 7134 of Lecture Notes in Computer Science, page 463-473. Springer, (2010)Automatic Performance Modeling of HPC Applications., , , , , , , , , and 1 other author(s). Software for Exascale Computing, volume 113 of Lecture Notes in Computational Science and Engineering, Springer, (2016)Remote Sensing Big Data Classification with High Performance Distributed Deep Learning., , , , , and . Remote Sensing, 11 (24): 3056 (2019)