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TU Berlin

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Kaijie Fan

Contact

Contact information
Room:
E-N 641
Tel.:
+49 (0)30 314-28692
E-Mail

Office hours:
with appointment
Address:
Sekretariat EN 12
Einsteinufer 17
D-10587 Berlin

Research

  • Programming Models for Parallel Architecture

Teaching

  • Advanced Computer Architecture (Practical), WS 20/21
  • Advanced Computer Architecture (Practical), WS 21/22
  • Advanced Computer Architecture (Practical), WS 22/23

Publications

Kaijie Fan and Biagio Cosenza and Ben H. H. Juurlink (2019). Predictable GPUs Frequency Scaling for Energy and Performance. Proceedings of the 48th International Conference on Parallel Processing, ICPP 2019, Kyoto, Japan, August 05-08, 2019. ACM, 52:1–52:10.


Kaijie Fan and Biagio Cosenza and Ben H. H. Juurlink (2020). Accurate Energy and Performance Prediction for Frequency-Scaled GPU Kernels. Comput., 37.


Kaijie Fan and Biagio Cosenza and Ben H. H. Juurlink (2022). FLEXDP: flexible frequency scaling for energy-delay product optimization of GPU applications. CF '22: 19th ACM International Conference on Computing Frontiers, Turin, Italy, May 17 - 22, 2022. ACM, 177–180.


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