‪Kaijie Fan‬ - ‪Google Scholar‬

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Co-authors

Biagio CosenzaUniversity of Salerno, ItalyVerified email at unisa.it
Ben JuurlinkTU BerlinVerified email at tu-berlin.de
Daniele CesariniProject Manager & HPC Technology Specialist, CINECAVerified email at cineca.it
Federico FicarelliCinecaVerified email at cineca.it
Luigi CrisciPh.D. StudentVerified email at unisa.it

Kaijie Fan

Kaijie Fan

PhD, Technische Universität Berlin (TU Berlin)

Verified email at campus.tu-berlin.de - Homepage

High Performance Computing Energy Efficiency Parallel/Distributed Architecture


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Predictable GPUs frequency scaling for energy and performance K Fan, B Cosenza, B Juurlink Proceedings of the 48th International Conference on Parallel Processing, 1-10, 2019	37	2019
Accurate energy and performance prediction for frequency-scaled GPU kernels K Fan, B Cosenza, B Juurlink Computation 8 (2), 37, 2020	4	2020
SYnergy: Fine-grained Energy-Efficient Heterogeneous Computing for Scalable Energy Saving K Fan, M D'Antonio, L Carpentieri, B Cosenza, F Ficarelli, D Cesarini Proceedings of the International Conference for High Performance Computing …, 2023	3	2023
Domain-Specific Energy Modeling for Drug Discovery and Magnetohydrodynamics Applications L Carpentieri, M D'Antonio, K Fan, L Crisci, B Cosenza, F Ficarelli, ... Proceedings of the SC'23 Workshops of The International Conference on High …, 2023		2023
FLEXDP: flexible frequency scaling for energy-delay product optimization of GPU applications K Fan, B Cosenza, B Juurlink Proceedings of the 19th ACM International Conference on Computing Frontiers …, 2022		2022

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