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During his 35-year academic career, Prof. Labarta has made significant contributions in programming models and performance analysis tools for parallel, multicore and accelerated systems, with the sole objective of helping application programmers to improve their understanding of their applications performance and to improve programming productivity in the transition towards very large-scale systems. Under his supervision, his research team has been developing performance analysis and prediction tools (Paraver and Dimemas) and pioneering research on how to increase the intelligence embedded in these performance tools.
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论文共 269 篇作者统计合作学者相似作者
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Omar Shaaban Ibrahim Ali, Juliette Fournis d’Albiat, Isabel Piedrahita,Beltran Vicenç,Paul Carpenter, Eduard Ayguadé,Jesus Labarta
crossref(2024)
Pouya Esmaili-Dokht, Miquel Guiot, Petar Radojković,Xavier Martorell, Eduard Ayguadé,Jesus Labarta, Jason Adlard, Paolo Amato, Marco Sforzin
IEEE Transactions on Computersno. 99 (2024): 1-14
Proceedings of the 51st International Conference on Parallel Processingpp.1-11, (2022)
Jimmy Aguilar Mena,Omar Shaaban,Victor Lopez, Marta Garcia,Paul M. Carpenter,Eduard Ayguadé,Jesús Labarta
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