( en | de | ru )

 

Disambiguation

From post

копироватьудалитьдобавить публикацию в буфер
SyncNN: Evaluating and Accelerating Spiking Neural Networks on FPGAs.

, , и . FPL, стр. 286-293. IEEE, (2021)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

Fang-Fang Tang

Xing Fang

Fang Chen

Weigui Fang

Xiangfan Fang

 

Другие публикации лиц с тем же именем

LEAP: A Deep Learning based Aging-Aware Architecture Exploration Framework for FPGAs., , , и . FPGA, стр. 146. ACM, (2021)HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision Transformers., , , , , , , , , и 1 other автор(ы). HPCA, стр. 442-455. IEEE, (2023)Supporting Address Translation for Accelerator-Centric Architectures., , , и . HPCA, стр. 37-48. IEEE Computer Society, (2017)Caffeine: towards uniformed representation and acceleration for deep convolutional neural networks., , , , и . ICCAD, стр. 12:1-12:8. ACM, (2016)ARAPrototyper: Enabling Rapid Prototyping and Evaluation for Accelerator-Rich Architecture (Abstact Only)., , , и . FPGA, стр. 281. ACM, (2016)Hardware-efficient stochastic rounding unit design for DNN training: late breaking results., , , , , , , , , и 2 other автор(ы). DAC, стр. 1396-1397. ACM, (2022)A quantitative analysis on microarchitectures of modern CPU-FPGA platforms., , , , , и . DAC, стр. 109:1-109:6. ACM, (2016)Measuring Microarchitectural Details of Multi- and Many-Core Memory Systems through Microbenchmarking., , , , , , и . ACM Trans. Archit. Code Optim., 11 (4): 55:1-55:26 (2014)FILM-QNN: Efficient FPGA Acceleration of Deep Neural Networks with Intra-Layer, Mixed-Precision Quantization., , , , , , , и . FPGA, стр. 134-145. ACM, (2022)SyncNN: Evaluating and Accelerating Spiking Neural Networks on FPGAs., , и . FPL, стр. 286-293. IEEE, (2021)