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A security monitoring service for NoCs., , and . CODES+ISSS, page 197-202. ACM, (2008)Design Space Pruning and Computational Workload Splitting for Autotuning OpenCL Applications., , , and . RAPIDO, page 4:1-4:6. ACM, (2018)mARGOt: A Dynamic Autotuning Framework for Self-Aware Approximate Computing., , , and . IEEE Trans. Computers, 68 (5): 713-728 (2019)DeSpErate++: An Enhanced Design Space Exploration Framework Using Predictive Simulation Scheduling., , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 34 (2): 293-306 (2015)Understanding the I/O Impact on the Performance of High-Throughput Molecular Docking., , , and . PDSW@SC, page 9-14. IEEE, (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)Fault Awareness in the MPI 4.0 Session Model., , and . CF, page 189-192. ACM, (2023)Predictive modeling methodology for compiler phase-ordering., , , and . PARMA-DITAM@HiPEAC, page 7-12. ACM, (2016)A Bayesian network approach for compiler auto-tuning for embedded processors., , , and . ESTIMedia, page 90-97. IEEE, (2014)Using multi-objective design space exploration to enable run-time resource management for reconfigurable architectures., , , , , and . DATE, page 1379-1384. IEEE, (2012)