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mARGOt: A Dynamic Autotuning Framework for Self-Aware Approximate Computing., , , and . IEEE Trans. Computers, 68 (5): 713-728 (2019)Design Space Pruning and Computational Workload Splitting for Autotuning OpenCL Applications., , , and . RAPIDO, page 4:1-4:6. ACM, (2018)Legio: Fault Resiliency for Embarrassingly Parallel MPI Applications., , and . CoRR, (2021)Tunable and Portable Extreme-Scale Drug Discovery Platform at Exascale: the LIGATE Approach., , , , , , , , , and 24 other author(s). CF, page 272-278. ACM, (2023)Understanding the I/O Impact on the Performance of High-Throughput Molecular Docking., , , and . PDSW@SC, page 9-14. IEEE, (2021)EXSCALATE: An extreme-scale in-silico virtual screening platform to evaluate 1 trillion compounds in 60 hours on 81 PFLOPS supercomputers., , , , , , , , , and . CoRR, (2021)SOCRATES - A seamless online compiler and system runtime autotuning framework for energy-aware applications., , , , , , , and . DATE, page 1143-1146. IEEE, (2018)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)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)Exploiting OpenMP & OpenACC to Accelerate a Molecular Docking Mini-App in Heterogeneous HPC Nodes., , , , , and . CoRR, (2019)