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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)Stack size estimation on machine-independent intermediate code for OpenCL kernels., , and . PARMA-DITAM@HiPEAC, page 1-6. ACM, (2016)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)A Runtime Controller for OpenCL Applications on Heterogeneous System Architectures., , , , , and . EWiLi, volume 1697 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)Tunable Approximations to Control Time-to-Solution in an HPC Molecular Docking Mini-App., , , , , , , , , and . CoRR, (2019)The ANTAREX approach to autotuning and adaptivity for energy efficient HPC systems., , , , , , , , , and 9 other author(s). Conf. Computing Frontiers, page 288-293. ACM, (2016)Embedded Operating System Optimization through Floating to Fixed Point Compiler Transformation., , , , and . DSD, page 172-176. IEEE Computer Society, (2018)Autotuning and adaptivity in energy efficient HPC systems: the ANTAREX toolbox., , , , , , , , , and 15 other author(s). CF, page 270-275. ACM, (2018)Aspect-Driven Mixed-Precision Tuning Targeting GPUs., , , , , , and . PARMA-DITAM@HiPEAC, page 26-31. ACM, (2018)A runtime controller for openCL applications on heterogeneous system architectures., , , , , and . SIGBED Review, 15 (1): 29-35 (2018)