Junaid, M.; Aliev, H.; Park, S.; Kim, H.; Yoo, H.; Sim, S.
Hybrid Precision Floating-Point (HPFP) Selection to Optimize Hardware-Constrained Accelerator for CNN Training. Sensors 2024, 24, 2145.
https://doi.org/10.3390/s24072145
AMA Style
Junaid M, Aliev H, Park S, Kim H, Yoo H, Sim S.
Hybrid Precision Floating-Point (HPFP) Selection to Optimize Hardware-Constrained Accelerator for CNN Training. Sensors. 2024; 24(7):2145.
https://doi.org/10.3390/s24072145
Chicago/Turabian Style
Junaid, Muhammad, Hayotjon Aliev, SangBo Park, HyungWon Kim, Hoyoung Yoo, and Sanghoon Sim.
2024. "Hybrid Precision Floating-Point (HPFP) Selection to Optimize Hardware-Constrained Accelerator for CNN Training" Sensors 24, no. 7: 2145.
https://doi.org/10.3390/s24072145
APA Style
Junaid, M., Aliev, H., Park, S., Kim, H., Yoo, H., & Sim, S.
(2024). Hybrid Precision Floating-Point (HPFP) Selection to Optimize Hardware-Constrained Accelerator for CNN Training. Sensors, 24(7), 2145.
https://doi.org/10.3390/s24072145