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Mind The Gap! A study of some pitfalls preventing peak performance in polyhedral compilation using a polyhedral antidote

, , , , , , , , , , and . IMPACT 2015, Fifth International Workshop on Polyhedral Compilation Techniques, In conjunction with HiPEAC 2015, (2015)

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Investigating Helmet Promotion for Cyclists: Results from a Randomised Study with Observation of Behaviour, Using a Semi-Automatic Video System, , , and . PLoS ONE, 7 (2): e31651 (February 2012)Mind The Gap! A study of some pitfalls preventing peak performance in polyhedral compilation using a polyhedral antidote, , , , , , , , , and 1 other author(s). IMPACT 2015, Fifth International Workshop on Polyhedral Compilation Techniques, In conjunction with HiPEAC 2015, (2015)Public Health surveillance from emergency call center data: visualization dashboard and NLP of call reports Public Health surveillance from EMCC data., , , , and . FLAIRS, (2022)Sexual Behavior, Heterosexual Transmission, and the Spread of HIV in Sub-Saharan Africa: A Simulation Study, ., , , and . Comput. Biomed. Res., 33 (1): 84-96 (2000)De-identification of Emergency Medical Records in French: Survey and Comparison of State-of-the-Art Automated Systems., , , , , , and . FLAIRS, (2021)Protecting Vulnerable Road Users from Injury, and . PLoS Med, 7 (3): e1000228 (March 2010)MAVIE-Lab Sports: A mHealth for Injury Prevention and Risk Management in Sport., , , , , and . DH, page 158-159. ACM, (2018)Neural Language Model for Automated Classification of Electronic Medical Records at the Emergency Room. The Significant Benefit of Unsupervised Generative Pre-training., , , , , and . CoRR, (2019)Pre-Training A Neural Language Model Improves the Sample Efficiency of an Emergency Room Classification Model., , , , , and . FLAIRS, page 264-269. AAAI Press, (2020)