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Studying the impact of application-level optimizations on the power consumption of multi-core architectures.

, , , , , , , and . Conf. Computing Frontiers, page 123-132. ACM, (2012)

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Semantic-Aware Automatic Parallelization of Modern Applications Using High-Level Abstractions., , , and . Int. J. Parallel Program., 38 (5-6): 361-378 (2010)Towards Ontology-Based Program Analysis., , , and . ECOOP, volume 56 of LIPIcs, page 26:1-26:25. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2016)OpenUH: an optimizing, portable OpenMP compiler., , , , and . Concurr. Comput. Pract. Exp., 19 (18): 2317-2332 (2007)Enhancement of Urban Floodwater Mapping From Aerial Imagery With Dense Shadows via Semisupervised Learning., , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2022)A Proposal to OpenMP for Addressing the CPU Oversubscription Challenge., , , and . IWOMP, volume 9903 of Lecture Notes in Computer Science, page 187-202. (2016)Dragon: A Static and Dynamic Tool for OpenMP., , and . WOMPAT, volume 3349 of Lecture Notes in Computer Science, page 53-66. Springer, (2004)Finding Reusable Machine Learning Components to Build Programming Language Processing Pipelines., , , , , and . ECSA (Tracks and Workshops), volume 13928 of Lecture Notes in Computer Science, page 402-417. Springer, (2022)RDS: a cloud-based metaservice for detecting data races in parallel programs., , , and . UCC, page 18:1-18:10. ACM, (2021)Generating and Analyzing Program Call Graphs using Ontology., , and . ProTools@SC, page 11-20. IEEE, (2022)Deep NLP-based co-evolvement for synthesizing code analysis from natural language., , , and . CC, page 141-152. ACM, (2021)