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Using an adaptive and time predictable runtime system for power-aware HPC-oriented applications.

, , , , , , , , and . IGSC, page 1-6. IEEE Computer Society, (2016)

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Using an adaptive and time predictable runtime system for power-aware HPC-oriented applications., , , , , , , , and . IGSC, page 1-6. IEEE Computer Society, (2016)Supporting the Scale-Up of High Performance Application to Pre-Exascale Systems: The ANTAREX Approach., , , , , , , , , and 15 other author(s). PDP, page 116-123. IEEE, (2019)ANTAREX: A DSL-Based Approach to Adaptively Optimizing and Enforcing Extra-Functional Properties in High Performance Computing., , , , , , , , , and 11 other author(s). DSD, page 600-607. IEEE Computer Society, (2018)System and Application Scenarios for Disaster Management Processes, the Rainfall-Runoff Model Case Study., , , , and . CISIM, volume 8838 of Lecture Notes in Computer Science, page 315-326. Springer, (2014)Pegasus: Performance Engineering for Software Applications Targeting HPC Systems., , , , , , , , , and 1 other author(s). IEEE Trans. Software Eng., 48 (3): 732-754 (2022)Performance Evaluation of Probabilistic Time-Dependent Travel Time Computation., , , , and . CISIM, volume 9842 of Lecture Notes in Computer Science, page 377-388. Springer, (2016)Autotuning and adaptivity in energy efficient HPC systems: the ANTAREX toolbox., , , , , , , , , and 15 other author(s). CF, page 270-275. ACM, (2018)Comparison of K-means Clustering Initialization Approaches with Brute-Force Initialization., , and . ACSS (1), volume 567 of Advances in Intelligent Systems and Computing, page 103-114. (2016)Reduction of User Profiles for Behavioral Graphs., , and . KES-AMSTA, volume 58 of Smart Innovation, Systems and Technologies, page 219-229. Springer, (2016)The ANTAREX domain specific language for high performance computing., , , , , , , , , and 9 other author(s). Microprocess. Microsystems, (2019)