Kaijie Fan

According to our database, Kaijie Fan authored at least 8 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Toward Heterogeneous, Distributed, and Energy-Efficient Computing with SYCL.

Biagio Cosenza, Lorenzo Carpentieri, Kaijie Fan, Marco D'Antonio, Peter Thoman, Philip Salzmann

CoRR, May, 2025

Phase-Based Frequency Scaling for Energy-Efficient Heterogeneous Computing.

Lorenzo Carpentieri, Antonio De Caro, Majid Salimi Beni, Kaijie Fan, Biagio Cosenza

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2025

2024

Predictive modeling and optimization for energy-efficient GPU computing.

Kaijie Fan

PhD thesis, 2024

2023

SYnergy: Fine-grained Energy-Efficient Heterogeneous Computing for Scalable Energy Saving.

Kaijie Fan, Marco D'Antonio, Lorenzo Carpentieri, Biagio Cosenza, Federico Ficarelli, Daniele Cesarini

Proceedings of the International Conference for High Performance Computing, 2023

Domain-Specific Energy Modeling for Drug Discovery and Magnetohydrodynamics Applications.

Lorenzo Carpentieri, Marco D'Antonio, Kaijie Fan, Luigi Crisci, Biagio Cosenza, Federico Ficarelli, Daniele Cesarini, Gianmarco Accordi, Davide Gadioli, Gianluca Palermo, Peter Thoman, Philip Salzmann, Philipp Gschwandtner, Markus Wippler, Filippo Marchetti, Daniele Gregori, Andrea Rosario Beccari

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

2022

FLEXDP: flexible frequency scaling for energy-delay product optimization of GPU applications.

Kaijie Fan, Biagio Cosenza, Ben H. H. Juurlink

Proceedings of the CF '22: 19th ACM International Conference on Computing Frontiers, Turin, Italy, May 17, 2022

2020

Accurate Energy and Performance Prediction for Frequency-Scaled GPU Kernels.

Kaijie Fan, Biagio Cosenza, Ben H. H. Juurlink

Comput., 2020

2019

Predictable GPUs Frequency Scaling for Energy and Performance.

Kaijie Fan, Biagio Cosenza, Ben H. H. Juurlink

Proceedings of the 48th International Conference on Parallel Processing, 2019