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Disambiguation of "Fang, Zhenman"

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Programming and Runtime Support to Blaze FPGA Accelerator Deployment at Datacenter Scale.

, , , , , , and . SoCC, page 456-469. ACM, (2016)

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Fang-Fang Tang

Xing Fang

Fang Chen

Weigui Fang

Xiangfan Fang

 

Other publications of authors with the same name

HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision Transformers., , , , , , , , , and 1 other author(s). HPCA, page 442-455. IEEE, (2023)LEAP: A Deep Learning based Aging-Aware Architecture Exploration Framework for FPGAs., , , and . FPGA, page 146. ACM, (2021)Supporting Address Translation for Accelerator-Centric Architectures., , , and . HPCA, page 37-48. IEEE Computer Society, (2017)Caffeine: towards uniformed representation and acceleration for deep convolutional neural networks., , , , and . ICCAD, page 12:1-12:8. ACM, (2016)Fast and High-Performance Learned Image Compression With Improved Checkerboard Context Model, Deformable Residual Module, and Knowledge Distillation., , , , , , and . IEEE Trans. Image Process., (2024)Measuring Microarchitectural Details of Multi- and Many-Core Memory Systems through Microbenchmarking., , , , , , and . ACM Trans. Archit. Code Optim., 11 (4): 55:1-55:26 (2014)A quantitative analysis on microarchitectures of modern CPU-FPGA platforms., , , , , and . DAC, page 109:1-109:6. ACM, (2016)ARAPrototyper: Enabling Rapid Prototyping and Evaluation for Accelerator-Rich Architecture (Abstact Only)., , , and . FPGA, page 281. ACM, (2016)SyncNN: Evaluating and Accelerating Spiking Neural Networks on FPGAs., , and . FPL, page 286-293. IEEE, (2021)HyBNN: Quantifying and Optimizing Hardware Efficiency of Binary Neural Networks., , , , , and . FCCM, page 203. IEEE, (2023)